Дисертації з теми "Spatial information extraction"
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Chen, Pu-Huai. "Extraction of spatial information from stereoscopic SAR images." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395765.
Повний текст джерелаVempala, Alakananda. "Extracting Temporally-Anchored Spatial Knowledge." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505146/.
Повний текст джерелаMackay, Jane Louise. "The extraction of urban land cover information from fine spatial scale earth observation data." Thesis, University of Leeds, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410960.
Повний текст джерелаDevine, Jon. "Support Vector Methods for Higher-Level Event Extraction in Point Data." Fogler Library, University of Maine, 2009. http://www.library.umaine.edu/theses/pdf/DevineJ2009.pdf.
Повний текст джерелаDittrich, André [Verfasser], and S. [Akademischer Betreuer] Hinz. "Real-Time Event Analysis and Spatial Information Extraction From Text Using Social Media Data / André Dittrich. Betreuer: S. Hinz." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1108453295/34.
Повний текст джерелаBasnet, Shiva. "Spatial Analysis of Rock Textures." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1349988757.
Повний текст джерелаZenasni, Sarah. "Extraction d'information spatiale à partir de données textuelles non-standards." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS076/document.
Повний текст джерелаThe extraction of spatial information from textual data has become an important research topic in the field of Natural Language Processing (NLP). It meets a crucial need in the information society, in particular, to improve the efficiency of Information Retrieval (IR) systems for different applications (tourism, spatial planning, opinion analysis, etc.). Such systems require a detailed analysis of the spatial information contained in the available textual data (web pages, e-mails, tweets, SMS, etc.). However, the multitude and the variety of these data, as well as the regular emergence of new forms of writing, make difficult the automatic extraction of information from such corpora.To meet these challenges, we propose, in this thesis, new text mining approaches allowing the automatic identification of variants of spatial entities and relations from textual data of the mediated communication. These approaches are based on three main contributions that provide intelligent navigation methods. Our first contribution focuses on the problem of recognition and identification of spatial entities from short messages corpora (SMS, tweets) characterized by weakly standardized modes of writing. The second contribution is dedicated to the identification of new forms/variants of spatial relations from these specific corpora. Finally, the third contribution concerns the identification of the semantic relations associated withthe textual spatial information
Wallace, Cynthia S. A. "Extracting temporal and spatial information from remotely sensed data for mapping wildlife habitat." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280220.
Повний текст джерелаAlatrista-Salas, Hugo. "Extraction de relations spatio-temporelles à partir des données environnementales et de la santé." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2013. http://tel.archives-ouvertes.fr/tel-00997539.
Повний текст джерелаBudig, Benedikt [Verfasser], Dijk Thomas C. [Gutachter] van, Alexander [Gutachter] Wolff, and Yao-Yi [Gutachter] Chiang. "Extracting Spatial Information from Historical Maps: Algorithms and Interaction / Benedikt Budig ; Gutachter: Thomas C. van Dijk, Alexander Wolff, Yao-Yi Chiang." Würzburg : Würzburg University Press, 2018. http://d-nb.info/1174143495/34.
Повний текст джерелаSantiago, Jessica de. "Extracting informative spatio-temporal features from fMRI dynamics : a model-based characterization of timescales." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/671346.
Повний текст джерелаEn neuropsiquiatría, el desarrollo de imágenes cerebrales y el análisis de datos dedicados a la medicina personalizada prometen predecir tanto la evolución de las enfermedades como las respuestas a los tratamientos. La capacidad de estimar el curso temporal de la enfermedad es el primer paso para comprender la respuesta a posibles tratamientos, lo que implica el desarrollo de métodos capaces de capturar características específicas del sujeto, además de la discriminación entre condiciones patológicas. Sin embargo, todavía faltan métodos que caractericen eficazmente la actividad neuronal a nivel de todo el cerebro, y actualmente se están haciendo muchos esfuerzos en los campos de la investigación clínica y la neurociencia. Lo anterior es particularmente problemático para interpretar los datos funcionales de las imágenes de resonancia magnética (fMRI por sus siglas en inglés), que están acoplados indirectamente con la actividad neuronal debido a la hemodinámica, lo que produce señales mucho más lentas que la actividad neuronal. En este trabajo, proponemos un método multiescala que combina un modelo computacional de cerebro completo con aprendizaje automático para resolver este problema. En nuestro enfoque, el modelo relaciona la actividad neuronal y las señales de resonancia magnética funcional de manera mecanicista, lo que permite el acceso a la actividad neuronal con una precisión de milisegundos. Específicamente, utilizamos una nueva metodología que permite la extracción de patrones espacio-temporales en diferentes escalas temporales a través de ventanas de tiempo. Después, usamos aprendizaje automático para estudiar qué rango de escalas de tiempo en la actividad neuronal modelada es más informativo, para separar la dinámica del cerebro durante el descanso, distinguiendo sujetos, tareas y condiciones neuropsiquiátricas. Nuestro enfoque computacional multiescala es un paso más para estudiar las múltiples escalas de tiempo de la dinámica del cerebro y predecir las interacciones dinámicas entre las regiones del cerebro. En general, este método aumenta las perspectivas para detectar biomarcadores y predecir la respuesta de tratamientos.
Thuillier, Etienne. "Extraction of mobility information through heterogeneous data fusion : a multi-source, multi-scale, and multi-modal problem." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCA019.
Повний текст джерелаToday it is a fact that we live in a world where ecological, economic and societal issues are increasingly pressing. At the crossroads of the various guidelines envisaged to address these problems, a more accurate vision of human mobility is a central and major axis, which has repercussions on all related fields such as transport, social sciences, urban planning, management policies, ecology, etc. It is also in the context of strong budgetary constraints that the main actors of mobility on the territories seek to rationalize the transport services and the movements of individuals. Human mobility is therefore a strategic challenge both for local communities and for users, which must be observed, understood and anticipated.This study of mobility is based above all on a precise observation of the movements of users on the territories. Nowadays mobility operators are mainly focusing on the massive use of user data. The simultaneous use of multi-source, multi-modal, and multi-scale data opens many possibilities, but the latter presents major technological and scientific challenges. The mobility models presented in the literature are too often focused on limited experimental areas, using calibrated data, etc., and their application in real contexts and on a larger scale is therefore questionable. We thus identify two major issues that enable us to meet this need for a better knowledge of human mobility, but also to a better application of this knowledge. The first issue concerns the extraction of mobility information from heterogeneous data fusion. The second problem concerns the relevance of this fusion in a real context, and on a larger scale. These issues are addressed in this dissertation: the first, through two data fusion models that allow the extraction of mobility information, the second through the application of these fusion models within the ANR Norm-Atis project.In this thesis, we finally follow the development of a whole chain of processes. Starting with a study of human mobility, and then mobility models, we present two data fusion models, and we analyze their relevance in a concrete case. The first model we propose allows to extract 12 types of mobility behaviors. It is based on an unsupervised learning of mobile phone data. We validate our results using official data from the INSEE, and we infer from our results, dynamic behaviors that can not be observed through traditional mobility data. This is a strong added-value of our model. The second model operates a mobility flows decompositoin into six mobility purposes. It is based on a supervised learning of mobility surveys data and static data from the land use. This model is then applied to the aggregated data within the Norm-Atis project. The computing times are sufficiently powerful to allow an application of this model in a real-time context
Jayawardhana, Udaya Kumara. "An ontology-based framework for formulating spatio-temporal influenza (flu) outbreaks from twitter." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1465941275.
Повний текст джерелаErozel, Guzen. "Natural Language Interface On A Video Data Model." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606251/index.pdf.
Повний текст джерелаKurka, David Burth 1988. "Online social networks = knowledge extraction from information diffusion and analysis of spatio-temporal phenomena = Redes sociais online: extração de conhecimento e análise espaço-temporal de eventos de difusão de informação." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259074.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-27T03:14:35Z (GMT). No. of bitstreams: 1 Kurka_DavidBurth_M.pdf: 1660677 bytes, checksum: 7258daf8129b4dac9d1f647195775d3c (MD5) Previous issue date: 2015
Resumo: Com o surgimento e a popularização de Redes Sociais Online e de Serviços de Redes Sociais, pesquisadores da área de computação têm encontrado um campo fértil para o desenvolvimento de trabalhos com grande volume de dados, modelos envolvendo múltiplos agentes e dinâmicas espaço-temporais. Entretanto, mesmo com significativo elenco de pesquisas já publicadas no assunto, ainda existem aspectos das redes sociais cuja explicação é incipiente. Visando o aprofundamento do conhecimento da área, este trabalho investiga fenômenos de compartilhamento coletivo na rede, que caracterizam eventos de difusão de informação. A partir da observação de dados reais oriundos do serviço online Twitter, tais eventos são modelados, caracterizados e analisados. Com o uso de técnicas de aprendizado de máquina, são encontrados padrões nos processos espaço-temporais da rede, tornando possível a construção de classificadores de mensagens baseados em comportamento e a caracterização de comportamentos individuais, a partir de conexões sociais
Abstract: With the advent and popularization of Online Social Networks and Social Networking Services, computer science researchers have found fertile field for the development of studies using large volumes of data, multiple agents models and spatio-temporal dynamics. However, even with a significant amount of published research on the subject, there are still aspects of social networks whose explanation is incipient. In order to deepen the knowledge of the area, this work investigates phenomena of collective sharing on the network, characterizing information diffusion events. From the observation of real data obtained from the online service Twitter, we collect, model and characterize such events. Finally, using machine learning and computational data analysis, patterns are found on the network's spatio-temporal processes, making it possible to classify a message's topic from users behaviour and the characterization of individual behaviour, from social connections
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
Etienne, Laurent. "Motifs spatio-temporels de trajectoires d'objets mobiles, de l'extraction à la détection de comportements inhabituels : application au trafic maritime." Phd thesis, Université de Bretagne occidentale - Brest, 2011. http://tel.archives-ouvertes.fr/tel-00667953.
Повний текст джерелаMarques, Paulo Miguel de Almeida. "Automatic Extraction of Spatial Information From Text." Master's thesis, 2019. https://hdl.handle.net/10216/129742.
Повний текст джерелаMarques, Paulo Miguel de Almeida. "Automatic Extraction of Spatial Information From Text." Dissertação, 2019. https://hdl.handle.net/10216/129742.
Повний текст джерелаLin, Wen Tzu, and 林文賜. "Automated Watershed Delineation for Spatial Information Extraction and Slopeland Yield Evalution." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/43727173497288782696.
Повний текст джерела國立中興大學
水土保持學系
90
Watershed unit has been regarded as an analyzed object for slopeland disaster assessment. With the fast growing progress of computer technologies, instead of manual operation, there is a trend of applying Digital Elevation Model (DEM) in automated watershed delineating and drainage network design. This study first focused on improving extraction method for automated watershed delineating. The concepts for depression outlets decision, looped drainage direction calculation, reasonable watersheds area delineation, and simulation of realistic drainage networks are all revised to propose a new approach for more reasonable and efficient in watershed delineation. Three major reservoir watersheds (Shihmen, Techi and Tsenwen) were chosen to calculate watershed geomorphologic and hydrologic information for verifying the suitability of proposed approach. An expert system was also developed using the approach included Universal Soil Loss Equation (USLE) and Sediment Delivery Ratio (SDR) to estimate watershed sediment yield. The system shows good performance for Shihmen, Techi, Tsenwen reservoir and Erzen creek watersheds. The results are summarized as follows: Using DEM to derive drainage directions of a watershed is frequently used in recent study. However, determinations of the optimal outlet and drainage directions for the depressions should be improved for fitting the real field data. This study proposed surface-inclining approach to couple with elevation-differencing approach (Jenson and Domingue, 1988) for determining incipient drainage directions. The calculation of optimal outlet and drainage direction in the depressions can be performed using watershed depression approach with PROMETHEE theory. Compared with elevation-smoothing, depression-filling and repeatedly elevation-incrementing approaches, the drainage directions for Shihmen, Techi and Twensen reservoir watersheds calculated by watershed depression approach show more reasonable and realistic outcomes. A dynamic extraction technique for tracing upstream drainage area based on user-specified outlet is also developed for fast automatically watershed delineating. The watershed area extracted for Shihmen, Techi and Twensen reservoir with the outlet located at the site of dam is 75634 ha, 52367 ha and 48396 ha, respectively. Due to inhomogeneous characteristics of geomorphology, geology, soil and/or climates of a watershed, the real drainage networks can not be delineated properly using single-threshold approach. Instead, a multiple-threshold approach is developed to cope with the real spatial distribution of streams in a watershed. Annual watershed sediment yield calculated for Shihmen, Techi, Twensen reservoirs and Erzen creek is 1928168 tons/yr, 1793742 tons/yr, 4807205 tons/yr and 5074396 tons/yr, and the corresponding annual erosion depth is 1.82mm, 2.45mm, 7.10mm and 25.81mm, respectively. Tsenwen reservoir and Erzen creek show higher erosion depth because of moderate mudstone distribution in the watershed. Model efficiency by Nash and Sutcliffe (1970) for sediment yield estimation is 81.21%, the model ( , ) shows significant correlation between estimated ( ) and measured ( ) data. The sites with can be clustered as higher sediment delivery sites from characteristic curve analysis. Area percentage of higher sediment delivery sites occupied for Shihmen, Techi and Tsenwen reservoir watersheds are only 10.58%, 9.21% and 10.01%. While the sediment yield percentage for the respective watershed can reach to 46.99%, 49.20% and 46.47%. It shows that higher sediment delivery sites are the main source of soil erosion.
Budig, Benedikt. "Extracting Spatial Information from Historical Maps: Algorithms and Interaction." Doctoral thesis, 2018. https://doi.org/10.25972/WUP-978-3-95826-093-1.
Повний текст джерелаHistorische Landkarten sind faszinierende Dokumente und eine wertvolle Informationsquelle für Wissenschaftler verschiedener Fächer. Viele dieser Karten liegen als gescannte Bitmap-Bilder vor, aber um sie auf nützliche Art durchsuchbar zu machen ist eine strukturierte Repräsentation der enthaltenen Informationen wünschenswert. Dieses Buch beschäftigt sich mit der Extraktion räumlicher Informationen aus historischen Landkarten. Man kann nicht erwarten, dass dies vollautomatisch geschieht (da komplizierte Semantik involviert ist), aber es ist auch zu aufwändig, um im großen Stil manuell durchgeführt zu werden. Die Methodik, die in diesem Buch verwendet wird, kombiniert die Stärken von Computern und Menschen: Es werden effiziente Algorithmen beschrieben, die Extraktionsaufgaben weitgehend automatisieren, und dazu passende Nutzerinteraktionen entworfen, mit denen Fälle gelöst werden, die die Algorithmen nicht vestehen. Die Effekitivität dieses Ansatzes wird anhand verschiedener räumlicher Dokumente aus dem 16. bis frühen 20. Jahrhundert gezeigt
Wang, Sendo, and 王聖鐸. "Theory of Floating Model in 3D Spatial Information Extraction – A Case Study on Building Reconstruction." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/32856699199511758216.
Повний текст джерела國立成功大學
測量及空間資訊學系碩博士班
93
3D city model or 3D spatial information system integrates 3D spatial information and thus can be applied to versatile applications such as urban planning, real estate managing, traffic evaluating, radio station locating, tourist guiding etc. Photogrammetry has been considered as the most efficient technique for extracting 3D spatial information in the last few decades. However, the operator has to measure the 3D coordinates of all points and connect the adjacent points in sequence. This point-by-point measurement of using floating mark has become the bottleneck while reconstructing the 3D city model. In this paper, we expanded the floating mark to the floating model based on the concept of model-based building extraction. The measuring tool is no longer only an abstract point but also many kinds of 3D model, which can be scaled, rotated, or moved in the space. The floating model is defined with a datum point whose 3D coordinates indicate the spatial position of the model as the floating mark does. Furthermore, each kind of models is associated with a set of pose parameters to describe its rotation about the three orthogonal axes and shape parameters to describe its scales along predefined directions. In other words, the floating model is a flexible entity floating in the space, and can be adjusted to fit the object by these parameters. If the model parameters are good enough to represent the 3D spatial information of the object, the projection of the floating model on every overlapped image will all be coincident to the object's image. Therefore, the basic idea of the floating model theory is to fit model to the overlapped images by adjusting the model parameters. In order to meet the needs of building reconstruction, we designed several primitive models and established a model-base that is composed of four kinds of models: point, line segment, surface, and solid. By means of human-computer interface, the operator is able to choose the most suitable model and measure the object on multiple images simultaneously. For the building with complicated structure, the extraction can be implemented following the Constructive Solid Geometry(CSG) according to the required level of details. The building can be split into several parts, modeled part-by-part, and finally joined into a complex model by Boolean Set Operators. Based on the floating model theory and model-based building extraction, we proposed a semi-automated extraction strategy. A friendly human-machine interface is designed for the operator to choose and adjust the floating model to fit the images manually. Then, the computer calculate the optimal fit by an ad hoc Least-Squares Model-Image Fitting(LSMIF) algorithm. Thus the 3D spatial information can be extracted object-by-object rather than point-by-point by means of floating model, which increases the efficiency and accuracy. Tested by a series of experiments on real aerial images, the proposed floating model has shown its capability and potential for 3D spatial information extraction.
Tsai, Chun-Chun, and 蔡純純. "SPATIAL INFORMATION EXTRACTION FROM CHINESE NEWS ARTICLES─Taking Fire, Rob, Traffic Accident Event for Example." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/22914482088011851742.
Повний текст джерела國立臺灣大學
地理環境資源學研究所
91
Along with the network development, the electronics document presents the growth of the geometric progression, among them, the news document is everyday constantly at produce, accumulate a great deal of information. If can accomplish each news to event topic, relational person, taking place time, occurrence location etc, according to the attribute, then it can make these information more application, for example: The query, management of the data, and the application of the relational database etc… The application of the spatial information is a lot of, have something to do with the location geocoding, map display, for example the addresses or roads query on the map, the map display of governments'' social-economic data, such as crime location distribution at each district, line distribution etc. If these maps connect with other databases, it can further make the spatial decision support. If we can extract the hidden spatial information in the news document, then it can manage a great deal of news document effectively, and uses the information quickly. The types of geographic location representation are a lot of. They can be classified into point, line, and polygon kinds of geographic location representation. This research emphasize at point and a few line kinds description. This research with the way that inducing the news document, making use of the Dictionary Method and Linguistic Method in the natural language approach, through Information Map system, construct the extracting rules an a system for the news documents, with the fire, rob, the traffic accident topics. The information in topics include topic key word, taking place time and occurrence location. The rule to extract event occurrence location can be classify to five types: Address, Non-urban Road, Intersection Road, Mark, Dynamic Intersection Road Location Description; The rule to extract time description can be classified into six types: Season, Date, Week, Quarter, Festival and Time. Joining with the simple event keyword extracting rules, regards the paragraph as the unit to pick, the extraction export structure database format, to provide the user to make more exploitations. The system test shows that these methods can extract news events information effectively and correctly.
Tai, Chih-Chiang, and 戴志強. "A Study of Linear Feature Extraction on Ocean Surface Satellite Image Using Spatial Information Techniques." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/07554551120967948695.
Повний текст джерела義守大學
資訊管理學系碩士班
95
Modern techniques of satellite image acquisition have been of great advance lately, which provide a great amount of images with a higher resolution both in spatial and spectral resolution. However, the rate of utilizing the existed images has not yet been sufficient in comparison to the rate of obtaining them. Hence, issues in using automated method of linear feature extraction for replacing manual process have drawn a great deal of attentions in this area lately. The purpose of this study is to develop an integrated method for extracting linear features of oceanic internal waves from satellite imagery using spatial information techniques, which include: wavelet transform based de-noise, Multiscale Retinex (MSR), and linear feature extraction (LEF). To evaluate the performance of the integrated method, the extracted linear features will be vectorized and overlapped with the original image in the Geographic Information System (GIS) to investigate the position discrepancy between them and the true features’ boundary. The results show that the MSR method provides enhanced image with improved color contrast and brightness, which result in a better quality of extracted linear features. Finally, we evaluate the performance of feature extraction using both the Canny method and the Wavelet Transform Modulus Maxima (WTMM) method. It is shown that the Canny method is superior to the WTMM method in terms of visualization quality and positioning accuracy.
Silva, Teresa Alexandra Gonçalves dos Santos. "A methodology to produce geographical information for land planning using very-high resolution images." Doctoral thesis, 2011. http://hdl.handle.net/10362/19737.
Повний текст джерелаCurrently, the Portuguese municipalities are required to produce homologated cartography, under the Territorial Management Instruments framework. The Municipal Master Plan (PDM) has to be revised every 10 years, as well as the topographic and thematic maps that describe the municipal territory. However, this period is inadequate for representing counties where urban pressure is high, and where the changes in the land use are very dynamic. Consequently, emerges the need for a more efficient mapping process, allowing obtaining recent geographic information more often. Several countries, including Portugal, continue to use aerial photography for large-scale mapping. Although this data enables highly accurate maps, its acquisition and visual interpretation are very costly and time consuming. Very-High Resolution (VHR) satellite imagery can be an alternative data source, without replacing the aerial images, for producing large-scale thematic cartography. The focus of the thesis is the demand for updated geographic information in the land planning process. To better understand the value and usefulness of this information, a survey of all Portuguese municipalities was carried out. This step was essential for assessing the relevance and usefulness of the introduction of VHR satellite imagery in the chain of procedures for updating land information. The proposed methodology is based on the use of VHR satellite imagery, and other digital data, in a Geographic Information Systems (GIS) environment. Different algorithms for feature extraction that take into account the variation in texture, color and shape of objects in the image, were tested. The trials aimed for automatic extraction of features of municipal interest, based on aerial and satellite high-resolution (orthophotos, QuickBird and IKONOS imagery) as well as elevation data (altimetric information and LiDAR data). To evaluate the potential of geographic information extracted from VHR images, two areas of application were identified: mapping and analytical purposes. Four case studies that reflect different uses of geographic data at the municipal level, with different accuracy requirements, were considered. The first case study presents a methodology for periodic updating of large-scale maps based on orthophotos, in the area of Alta de Lisboa. This is a situation where the positional and geometric accuracy of the extracted information are more demanding, since technical mapping standards must be complied. In the second case study, an alarm system that indicates the location of potential changes in building areas, using a QuickBird image and LiDAR data, was developed for the area of Bairro da Madre de Deus. The goal of the system is to assist the updating of large scale mapping, providing a layer that can be used by the municipal technicians as the basis for manual editing. In the third case study, the analysis of the most suitable roof-tops for installing solar systems, using LiDAR data, was performed in the area of Avenidas Novas. A set of urban environment indicators obtained from VHR imagery is presented. The concept is demonstrated for the entire city of Lisbon, through IKONOS imagery processing. In this analytical application, the positional quality issue of extraction is less relevant.
GEOSAT – Methodologies to extract large scale GEOgraphical information from very high resolution SATellite images (PTDC/GEO/64826/2006), e-GEO – Centro de Estudos de Geografia e Planeamento Regional, da Faculdade de Ciências Sociais e Humanas, no quadro do Grupo de Investigação Modelação Geográfica, Cidades e Ordenamento do Território
Tseng, Hui-Yu, and 曾惠虞. "Extracting and Modifying the Spatial Information in Stereo Audio." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/27468502775850926782.
Повний текст джерела大同大學
資訊工程學系(所)
94
In this thesis, the method to extract the spatial information and single representing source of original sound field in stereo, and then synthesis them as demanded are proposed. The objective is to synthesize appropriate sound field corresponding to vary listening condition. The discussed situation is focused on multi-sources playing the same melody by the same music instrument aligned in line. Since each source plays the same melody, the same music scale would be played on the sector in time. Human perception is insensitive to the phase of audio. So we might assume that the magnitudes of spectrogram of each source is similar even their waveforms are different. Therefore, the signal received by microphone could be treated as the summation of one spectrogram with shifts in time and attenuation. It is similar to an image corrupted by a motion blur function. Thus, the concept of image-restoration may be applied to extract the spatial information and single representing source by which the property of time-frequency components of each original source could be represented. The sound field similar to original sound field can be synthesized using the extracted single representing source and the obtained spatial information. Also the spatial information can be modified to synthesize the different sound field for different playback conditions in pleasure. The simulation is performed to confirm the method in this thesis. And the result shows that the concept of image distortion/restoration process with sound spectrogram could be applied to the spatial information extraction and sound field resynthesis. There will be certain compression effects with applying the concept of decomposing and re-synthesizing in this thesis with multi-channel processing in the future.
Yang, Lin-Szu, and 楊琳思. "Improvement on Extracting and Modifying the Spatial Information in Audio." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/04153699034348200029.
Повний текст джерела大同大學
資訊工程學系(所)
96
Recently, microphone array technique has already been used in teleconference and distance education. Accurate localization of multiple sound sources is indispensable for sound capture of microphone array. The sound signal from the position selected could also be enhanced. In this thesis, the method to extract the spatial information and sound sources from the received signal is proposed. The Cross-power Spectrum Phase (CSP) is used to nd the arrival time delay from sources to microphone. If two microphones are considered to locate at two foci, then the trajectory of the time delay found by microphone pair is a hyperbola. Treating a source location is a kind of projection. All of hyperbolas produced by microphone pairs have been collected. Therefore, the back-projection method could be used to reconstruct the source location. After all of the source locations are known, the sound projection is used to extract the sources one by one according the the spatial information. Finally, a sound eld would be synthesized. The result of the simulation veri es that the synthesized sound eld similar to original ones is synthesized. Furthermore, a new sound eld could also be synthesized according to the spatial information with requirement.
Xu, Zhi-Fen, and 許芝芬. "The Establishment of Spatial Information Extracting Model -Application on Land Appraisal." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/52213091443667758715.
Повний текст джерела逢甲大學
土地管理研究所
85
The phrase "land inbreeds fortune" reveals not only the close relationship between land and human life, but also one of the four important factors of productivity. Land characteristics such as supply substantiality, non-mobile objects, non-alternative targets and incomplete market information, compose the differences from other commercial products. Optimum resource allocation of land can hardly be reached by free market mechanism. It is obviously that social problem coming from unequal social resources allocation and inefficiencies will be derived from non-controllable market reasonable price. There are abundant literature studies on the topic of land appraisal. The goal of this paper is not to assess land price or examine land appraisal parameter, but to construct the spatial information extracting model for factors which influence land price.The appraisers used to collect a lot of appraisal related data and conduct some onsite survey, in order to accordingly estimate the land value. Therefore workload was very heavy and time consuming. This study took the advantages of the fast-computing and mass data-storing capabilities of a computer, and mean while applied the GIS technique to the establishment of data file for the appraisal process. So that the time and labors can be saved and the efficiency of the assessment of land parcels can be enhanced. Taichung city in Taiwan was selected for an empirical test area. An existing land appraisal model is applied in this test to analyze the issues of spatial data including (1) establishment of criteria for data extraction, (2)investigation of spatial relationships among objects, such as distance, direction, and topological relationships, and (3)the design of spatial data analysis process for land appraisal.The result indicated that all spatial analysis is based on the feature topology, and network analysis is the most important tool for spatial analysis. Auto-extracting information can serve as a useful tool the assessment of external environment condition and can improve the appraisal technique. But it is non-efficient in the assessment of internal basic site information.
Gigliotti, Angelo. "Extracting temporal and spatial distributions information about marine mucilage phenomenon based on Modis satellite images; a case study of the Tyrrhenian and the Adriatic Sea, 2010-2012." Master's thesis, 2013. http://hdl.handle.net/10362/9205.
Повний текст джерелаA novel approach was used with data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to detect Marine Mucilage in tow different marine areas of the Italy (Campanian Seas and North Adriatic Sea) from 2010 to 2012. The approach involves first deriving a Mucilage Index (MI) based on the medium‐resolution (500 m) MODIS reflectance data correction of the ozone/gaseous absorption and Rayleigh scattering effects and then objectively determining the MI threshold value (0.05