Relevant bibliographies by topics / Airborne video imagery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Airborne video imagery'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Airborne video imagery"

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PICKUP, G., V. H. CHEWINGS, and G. PEARCE. "Procedures for correcting high resolution airborne video imagery." International Journal of Remote Sensing 16, no. 9 (June 1995): 1647–62. http://dx.doi.org/10.1080/01431169508954502.

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Everitt, J. H., M. A. Hussey, D. E. Escobar, P. R. Nixon, and B. Pinkerton. "Assessment of grassland phytomass with airborne video imagery." Remote Sensing of Environment 20, no. 3 (December 1986): 299–306. http://dx.doi.org/10.1016/0034-4257(86)90050-7.

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Wu, Sijie, Kai Zhang, Shaoyi Li, and Jie Yan. "Learning to Track Aircraft in Infrared Imagery." Remote Sensing 12, no. 23 (December 6, 2020): 3995. http://dx.doi.org/10.3390/rs12233995.

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Airborne target tracking in infrared imagery remains a challenging task. The airborne target usually has a low signal-to-noise ratio and shows different visual patterns. The features adopted in the visual tracking algorithm are usually deep features pre-trained on ImageNet, which are not tightly coupled with the current video domain and therefore might not be optimal for infrared target tracking. To this end, we propose a new approach to learn the domain-specific features, which can be adapted to the current video online without pre-training on a large datasets. Considering that only a few samples of the initial frame can be used for online training, general feature representations are encoded to the network for a better initialization. The feature learning module is flexible and can be integrated into tracking frameworks based on correlation filters to improve the baseline method. Experiments on airborne infrared imagery are conducted to demonstrate the effectiveness of our tracking algorithm.
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Cook, C. G., D. E. Escobar, J. H. Everitt, I. Cavazos, A. F. Robinson, and M. R. Davis. "Utilizing airborne video imagery in kenaf management and production." Industrial Crops and Products 9, no. 3 (March 1999): 205–10. http://dx.doi.org/10.1016/s0926-6690(98)00033-8.

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Edirisinghe, A., J. P. Louis, and G. E. Chapman. "Potential for Calibrating Airborne Video Imagery Using Preflight Calibration Coefficients." Photogrammetric Engineering & Remote Sensing 70, no. 5 (May 1, 2004): 573–80. http://dx.doi.org/10.14358/pers.70.5.573.

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Ifimov, Gabriela, Tomas Naprstek, Joshua M. Johnston, Juan Pablo Arroyo-Mora, George Leblanc, and Madeline D. Lee. "Geocorrection of Airborne Mid-Wave Infrared Imagery for Mapping Wildfires without GPS or IMU." Sensors 21, no. 9 (April 27, 2021): 3047. http://dx.doi.org/10.3390/s21093047.

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The increase in annual wildfires in many areas of the world has triggered international efforts to deploy sensors on airborne and space platforms to map these events and understand their behaviour. During the summer of 2017, an airborne flight campaign acquired mid-wave infrared imagery over active wildfires in Northern Ontario, Canada. However, it suffered multiple position-based equipment issues, thus requiring a non-standard geocorrection methodology. This study presents the approach, which utilizes a two-step semi-automatic geocorrection process that outputs image mosaics from airborne infrared video input. The first step extracts individual video frames that are combined into orthoimages using an automatic image registration method. The second step involves the georeferencing of the imagery using pseudo-ground control points to a fixed coordinate systems. The output geocorrected datasets in units of radiance can then be used to derive fire products such as fire radiative power density (FRPD). Prior to the georeferencing process, the Root Mean Square Error (RMSE) associated with the imagery was greater than 200 m. After the georeferencing process was applied, an RMSE below 30 m was reported, and the computed FRPD estimations are within expected values across the literature. As such, this alternative geocorrection methodology successfully salvages an otherwise unusable dataset and can be adapted by other researchers that do not have access to accurate positional information for airborne infrared flight campaigns over wildfires.
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Fletcher, Reginald S., and Allan T. Showler. "Surveying kaolin-treated cotton plots with airborne multispectral digital video imagery." Computers and Electronics in Agriculture 54, no. 1 (October 2006): 1–7. http://dx.doi.org/10.1016/j.compag.2006.06.004.

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Everitt, James H., David E. Escobar, Mario A. Alaniz, Ricardo Villarreal, and Michael R. Davis. "Distinguishing Brush and Weeds on Rangelands Using Video Remote Sensing." Weed Technology 6, no. 4 (December 1992): 913–21. http://dx.doi.org/10.1017/s0890037x00036472.

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This paper describes the application of a relatively new remote sensing tool, airborne video imagery, for distinguishing weed and brush species on rangelands. Plant species studied were false broomweed, spiny aster, and Chinese tamarisk. A multispectral video system that acquired color-infrared (CIR) composite imagery and its simultaneously synchronized three-band [near-infrared (NIR), red, and yellow-green] narrowband images was used for the false broomweed and spiny aster experiments. A conventional color camcorder video system was used to study Chinese tamarisk. False broomweed and spiny aster could be detected on CIR composite and NIR narrowband imagery, while Chinese tamarisk could be distinguished on conventional color imagery. Quantitative data obtained from digitized video images of the three species showed that their digital values were statistically different (P = 0.05) from those of associated vegetation and soil. Computer analyses of video images showed that populations of the three species could be quantified from associated vegetation. This technique permits area estimates of false broomweed, spiny aster, and Chinese tamarisk populations on rangeland and wildland areas.
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Everitt, James H., David E. Escobar, Ricardo Villarreal, Mario A. Alaniz, and Michael R. Davis. "Integration of Airborne Video, Global Positioning System and Geographic Information System Technologies for Detecting and Mapping Two Woody Legumes on Rangelands." Weed Technology 7, no. 4 (December 1993): 981–87. http://dx.doi.org/10.1017/s0890037x00038112.

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Blackbrush acacia and huisache, two troublesome woody legumes on Texas rangelands, could be distinguished on conventional color aerial video imagery. The integration of a global positioning system with the video imagery permitted latitude/longitude coordinates of blackbrush acacia and huisache infestations to be recorded on each image. Global positioning system coordinates were entered into a geographic information system to map blackbrush acacia and huisache populations over an extensive rangeland area.
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Stutte, G. W., and C. A. Stutte. "Use of Near-Infrared video for Localizing Nitrogen Stress in Peach Orchards." HortTechnology 2, no. 2 (April 1992): 224–27. http://dx.doi.org/10.21273/horttech.2.2.224.

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Computer analysis of airborne, broad-band, near-infrared (NIR, 710 to 1100 nm) video imagery of peach tree canopies was used to determine spatial variability of cumulative stress in two peach orchards. A significant quadratic correlation was found between leaf-N content and the normalized mean pixel intensity (MPI) of the digital imagery of NIR canopy reflectance. This correlation was used to establish MPI estimates of N-stressed trees in the orchard. The relationship was used to localize site-specific spatial variability in a commercial peach orchard. The underlying soil type was found to be closely associated with the spatial variability in NIR imagery in the commercial peach orchard. Assessing spatial variability in the orchard with NIR video permits early localization of potentially low productivity regions within an orchard.
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Dissertations / Theses on the topic "Airborne video imagery"

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Buckley, Mark, Alfredo Berard, and Michael Butler. "Interoperability Standards for Network Based Airborne Video Systems." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596422.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
The deployment of network-based airborne instrumentation is leading to cost efficient replacement of legacy systems. One application of airborne instrumentation systems that has to this point been developed and maintained separately from traditional avionics and orange-wire data acquisition systems is video and imagery. The development of network-based video and imagery systems has led to an opportunity to unify these two previously distinct airborne data acquisition activities using standards for plug-n-play interoperability across airframes and organizations. This paper describes standards based network-based video and imagery instrumentation systems which, are being implemented to replace existing proprietary systems.
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Roth, Guy W., and n/a. "Agronomic measurements to validate airborne video imagery for irrigated cotton management." University of Canberra. Resource and Environmental Sciences, 1993. http://erl.canberra.edu.au./public/adt-AUC20050801.124927.

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Water is a major factor limiting cotton production and farmers must aim to optimise crop water use through timely irrigation scheduling decisions. Airborne video imagery when calibrated with a low density of ground based observations, offers the potential for near real time monitoring of crop condition, through sequential coverages of entire cotton fields. Using commercially available video equipment mounted on a light aircraft images were acquired of field experiments that were established in commercial cotton fields to test if the imagery could monitor changes in crop condition. Ground data collected from these experiments were used to evaluate green, red, near infrared and thermal band imagery for irrigated crop management. Prior to acquiring imagery, a ground radiometer study was conducted to investigate if canopy reflectance changed with the onset of crop water stress. Canopy reflectance decreased in the near infrared and green bands during the five day period prior to the crop's normal irrigation date. Red reflectance increased only after the crop irrigation was due, when the crop was suffering from water stress. The greatest change in canopy reflectance was in the near infrared region, attributable in part to a decrease in ground cover caused by canopy architectural changes including leaf wilting. The results of this experiment were used to select spectral filters for the video cameras. A range of crop conditions were identified in the imagery including; crop waterlogging, wheeltrack soil compaction, crop nitrogen status, different varieties, crop maturity, canopy development, soil moisture status, cotton yield and nutgrass weeds. Thermal imagery was the most successful for distinguishing differences in the crop soil moisture status. Near infrared imagery was most closely related to crop canopy development and is recommended for monitoring crop growth. Linear relationships were found between spectral responses in the imagery, crop reflectance (%) and crop temperature measured on the ground. Near infrared reflectance linearly increased, while spectral responses in the green, red and thermal bands exhibited an inverse relationship with plant height and ground cover. Imagery collected early in the season was affected by the soil background. Final lint yield was related to imagery in the red band. As the soil moisture level declined, crop temperature increased while reflectance in the green band decreased. To ensure an accurate relationship between soil moisture and thermal imagery, separate calibration equations are recommended for different stages in the season. Green, red and near infrared imagery were affected by the sun angle that caused one side of the imagery to appear brighter than the other. This problem was greatest in the green and red bands, but was not evident in the thermal imagery. Changes in solar radiation and air temperature on some occasions caused greater variation to the imagery between flights, than changes in crop condition per se. Therefore, it is not aIways possible to directly determine the soil moisture status from canopy temperature. Further research is required to correct imagery for environmental variables such as solar radiation, air temperature and vapour pressure deficit. Thermal imagery offers many improvements to current irrigation scheduling techniques including the facilitation of locating more representative ground sampling points. Thermal imagery also enables cotton fields on a farm to be ranked according to their soil moisture status. This then provides farmers with a visual picture of the crop water status across the whole farm, which is not possible using conventional ground scheduling techniques. At this stage, airborne video imagery will not replace soil moisture data collected for irrigation scheduling, however offers potential to enhance irrigation scheduling methods by addressing the problem of crop variability within cotton fields.
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Kaba, Utku. "Moving Hot Object Detection In Airborne Thermal Videos." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614532/index.pdf.

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In this thesis, we present an algorithm for vision based detection of moving objects observed by IR sensors on a moving platform. In addition we analyze the performance of different approaches in each step of the algorithm. The proposed algorithm is composed of preprocessing, feature detection, feature matching, homography estimation and difference image analysis steps. First, a global motion estimation based on planar homography model is performed in order to compensate the motion of the sensor and moving platform where the sensors are located. Then, moving objects are identified on difference images of consecutive video frames with global motion suppression. Performance of the proposed algorithm is shown on different IR image sequences.
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Books on the topic "Airborne video imagery"

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Automated digital mosaicking of airborne videography. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Forest Health Technology Enterprise Team, 1996.

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Book chapters on the topic "Airborne video imagery"

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Plaza, Antonio, Javier Plaza, David Valencia, and Pablo Martiez. "Parallel Segmentation of Multi-Channel Images Using Multi-Dimentional Mathematical Morphology." In Advances in Image and Video Segmentation, 270–91. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-753-9.ch013.

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Multi-channel images are characteristic of certain applications, such as medical imaging or remotely sensed data analysis. Mathematical morphology-based segmentation of multi-channel imagery has not been fully accomplished yet, mainly due to the lack of vector-based strategies to extend classic morphological operations to multidimensional imagery. For instance, the most important morphological approach for image segmentation is the watershed transformation, a hybrid of seeded region growing and edge detection. In this chapter, we describe a vector-preserving framework to extend morphological operations to multi-channel images, and further propose a fully automatic multi-channel watershed segmentation algorithm that naturally combines spatial and spectral/temporal information. Due to the large data volumes often associated with multi-channel imaging, this chapter also develops a parallel implementation strategy to speed up performance. The proposed parallel algorithm is evaluated using magnetic resonance images and remotely sensed hyperspectral scenes collected by the NASA Jet Propulsion Laboratory Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS).
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"Benthic Habitats and the Effects of Fishing." In Benthic Habitats and the Effects of Fishing, edited by T. D. Clayton, J. C. Brock, and C. W. Wright. American Fisheries Society, 2005. http://dx.doi.org/10.47886/9781888569605.ch21.

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For ecologists and managers of seagrass systems, the spatial context provided by remote sensing has proven to be an important complement to in situ assessments and measurements. The spatial extent of seagrass beds has been mapped most commonly with conventional aerial photography. Additional remote mapping and monitoring tools applied to seagrass studies include optical satellite sensors, airborne multispectral scanners, underwater video cameras, and towed sonar systems. An additional tool that shows much promise is airborne, waveform-resolving lidar (light detection and ranging). Now used routinely for high-resolution bathymetric and topographic surveys, lidar systems operate by emitting a laser pulse, then measuring its two-way travel time from the plane to reflecting surface(s) below, then back to the detector co-located with the laser transmitter. Using a novel, waveformresolving lidar system developed at NASA — the Experimental Advanced Airborne Research Lidar (EAARL) — we are investigating the possibility of using the additional information contained in the returned laser pulse (waveform) for the purposes of benthic habitat mapping. Preliminary analyses indicate that seagrass beds can potentially be delineated on the basis of apparent bathymetry, returned waveform shape and amplitude, and (horizontal) spatial texture. A complete set of georectified digital camera imagery is also collected during each EAARL overflight and can aid in mapping efforts. Illustrative examples are shown from seagrass beds in the turbid waters of Tampa Bay and the relatively clear waters of the Florida Keys.
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Krasilenko, Vladimir G., Alexander Lazarev, and Diana Nikitovich. "Matrix Models of Cryptographic Transformations of Video Images Transmitted From Aerial-Mobile Robotic Systems." In Advances in Computational Intelligence and Robotics, 170–214. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9924-1.ch005.

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In this chapter, the authors consider the need and relevance of cryptographic transformation of images and video files that are transmitted from unmanned aircraft, airborne robots. The authors propose and consider new multifunctional matrix-algebraic models of cryptographic image transformations, the variety of matrix models, including block parametrical and matrix affine permutation ciphers. The authors show the advantages of the cryptographic models, such as adaptability to various formats, multi-functionality, ease of implementation on matrix parallel structures, interchangeability of iterative procedures and matrix exponentiation modulo, ease of selection, and control of cryptographic transformation parameters. The simulation results of the proposed algorithms and procedures for the direct and inverse transformation of images with the aim of masking them during transmission are demonstrated and discussed in this chapter. The authors evaluate the effectiveness and implementation reliability of matrix-algebraic models of cryptographic image transformations.
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Rango, Albert, and Jerry Ritchie. "Applications of Remotely Sensed Data from the Jornada Basin." In Structure and Function of a Chihuahuan Desert Ecosystem. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195117769.003.0019.

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Like other rangelands, little application of remote sensing data for measurement and monitoring has taken place within the Jornada Basin. Although remote sensing data in the form of aerial photographs were acquired as far back as 1935 over portions of the Jornada Basin, little reliance was placed on these data. With the launch of Earth resources satellites in 1972, a variety of sensors have been available to collect remote sensing data. These sensors are typically satellite-based but can be used from other platforms including ground-based towers and hand-held apparatus, low-altitude aircraft, and high-altitude aircraft with various resolutions (now as good as 0.61 m) and spectral capabilities. A multispectral, multispatial, and multitemporal remote sensing approach would be ideal for extrapolating ground-based point and plot knowledge to large areas or landscape units viewed from satellite-based platforms. This chapter details development and applications of long-term remotely sensed data sets that are used in concert with other long-term data to provide more comprehensive knowledge for management of rangeland across this basin and as a template for their use for rangeland management in other regions. In concert with the ongoing Jornada Basin research program of ground measurements, in 1995 we began to collect remotely sensed data from ground, airborne, and satellite platforms to provide spatial and temporal data on the physical and biological state of basin rangeland. Data on distribution and reflectance of vegetation were measured on the ground along preestablished transects with detailed vegetation surveys (cover, composition, and height); with hand-held and yoke-mounted spectral and thermal radiometers; from aircraft flown at different elevations with spectral and thermal radiometers, infrared thermal radiometers, multispectral video, digital imagers, and laser altimeters; and from space with Landsat Thematic Mapper (TM), IKONOS, QuickBird, Terra/Aqua, and other satellite-based sensors. These different platforms (ground, aircraft, and satellite) allow evaluation of landscape patterns and states at different scales. One general use of these measurements will be to quantify the hydrologic budget and plant response to changes in components in the water and energy balance at different scales and to evaluate techniques of scaling data.
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Conference papers on the topic "Airborne video imagery"

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Mirzaoff, Alexander. "Semantics for airborne video imagery ontology." In SPIE Defense, Security, and Sensing. SPIE, 2012. http://dx.doi.org/10.1117/12.919892.

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Holm, Mikael. "Global object reconstruction using airborne video imagery: the ESPRIT-III GLORE Project." In Photonics East '95, edited by Sabry F. El-Hakim. SPIE, 1995. http://dx.doi.org/10.1117/12.220910.

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Chen, Ting, Hichem Sahli, Yanning Zhang, and Tao Yang. "Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses." In MoMM 2015: The 13th International Conference on Advances in Mobile Computing and Multimedia. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2837126.2843846.

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Zhang, Shuqun, and Mo Chen. "Target detection and tracking in airborne video imagery using statistical snake and mean shift." In Optics & Photonics 2005, edited by Andrew G. Tescher. SPIE, 2005. http://dx.doi.org/10.1117/12.618171.

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Guerrero, Hugo, and Cameron Shankland. "Integrating Airborne Datasets Into the Design and Construction Planning Phases." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64338.

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Today, obtaining field information in traditional pipeline design workflows rely on the use of conventional aerial photography, mapping and field visits. As a Designer, Engineer or Project Manager, a field visit can answer many questions and perhaps be the key to achieving a sound, successful design and installation. While conventional aerial orthophotography and mapping is invaluable during the design, it lacks a dimension that allows you to visualize the right-of-way the way you would if you were there. The use of Airborne Video and Oblique Imagery is not intended to replace conventional aerial orthophotography or mapping, but augment its use by providing a rich visualization that, in conjunction with the planimetric data sets, can aid the project team immensely during the design and permitting phase of a project. Currently, there are Airborne Data services available serving the pipeline industry that contain custom tools that either integrate into GIS platforms or operate as stand-alone proprietary software. These tools aid designers, engineers and constructors navigate through the video without having to sit and watch the whole video. In addition, video can be geocoded to specific pipeline or right-of-way features, such as a valve sites or stream crossings. Some tools even allow you to take rough measurements from visible features like fences or roads. Having such a dataset enables project team members to revisit any location along the right-of-way as many times as required to get information to finalize a design, permit application or to estimate the cost of construction. As Project Managers, we regularly face having new team members join the project at all stages of the project. Having a video to hand to new team members reduces the time they will take to get on board and familiarize themselves with the right-of-way. It also reduces the amount of field trips required just for this purpose. Another great use of Airborne Datasets is to use it during a pre-bid conference and provide it to the contractors bidding on the job. On large pipeline projects, it is unfeasible and impractical to have the project management team tour the entire right-of-way during a job walk, and there is likely areas along the right-of-way that are not very accessible thus requiring a flyover to review it with others.
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Miller, Mary L., and Cameron Shankland. "Utilizing Low Level Videography and GIS to Rethink Traditional Phase I Environmental Site Assessments." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10428.

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The method used for traditional “Phase I” Environmental Site Assessments (ESA’s) has required staff to physically walk the rights-of-way (ROW). In order to compete the ESA in a more timely and cost-effective manner than traditional techniques allowed, URS Corporation (URS) contracted LinearVision (LV) to fly the utility ROW and collect low-level, airborne, geo-referenced videography, complemented with geo-referenced still-imagery to enable URS to complete the Phase I ESA data analysis in their office. The data provided enabled URS’s analysts the ability to access all ROW points of interest in their Geographic Information System (GIS), and “fly” the line with oblique and downward perspectives from their computer screen. The digital video could be sped up or slowed down allowing URS the ability to review each frame for careful, detailed analysis, and identify potential recognized environmental conditions (RECs) and encroachment upon the ROW. The high-resolution still-imagery provided URS the ability to zoom into the potential REC for a closer inspection of site features, vegetation, and surrounding land use. URS created a database of potential RECs and areas of interest along with a simple user interface as a deliverable to the client, which allows the user to link directly to specific video frames and high-resolution photographs for their own review and analysis. The cost of the airborne data capture and processing was substantially less than a traditional Phase I ESA. Furthermore, the video and high-resolution images provided for a more comprehensive analysis tool, which can be reviewed by multiple analysts and catalogued for future reference by third parties. An additional benefit is that the high-resolution photographs can be imported into AutoCAD or other software for development of maps and figures. Overall, the net result of low-level GIS integrated videography is enhanced quality of data and a 50% reduction in total cost for the ROW project as compared to traditional Phase I ESA methodology.
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Melville, W. Kendall, Lenonel Romero, and Jessica Kleiss. "Observations of Surface Waves and Wave Breaking: A Tribute to Nick Newman." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57490.

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The Gulf of Tehuantepec is well known for having strong offshore winds, which occur predominantly during the winter months when significant atmospheric pressure differences develop between the Gulf of Mexico and the Pacific Ocean, forcing winds through a mountain gap at the head of the gulf. During the Gulf of Tehuantepec Experiment (GOTEX), conducted in February 2004, we collected surface-wave and wave-breaking measurements using a conical scanning lidar (NASA Airborne Terrain Mapper, ATM) and a downward-looking video camera on the NSF/NCAR C-130 aircraft. We present ATM observations of surface waves as well as statistical and spectral descriptions of the wave field. We also present measurements of the occurrence and strength of breaking using digital video data to identify actively breaking waves. In order to infer the dynamics of breaking from simple physical models, the kinematics of the breaking must be separated from the kinematics of the underlying waves. This is done using linear and nonlinear estimates of the underlying orbital velocities from the spatio-temporal surface displacement data measured by the ATM. Nonlinear estimation of the orbital velocities is described in a companion paper in this symposium (Grue et al., OMAE 2008). Frequent breaking is observed under the strong wind forcing. Examples of the spatial structure of waves are compared to simultaneous video imagery, giving an indication of the scale at which wave breaking occurs. The GOTEX observations, to almost full wave development, are tested against the latest wind-wave numerical spectral models that include the effects of wave generation, nonlinear wave-wave interactions and wave dissipation due to breaking. This paper is dedicated to Nick Newman by the lead author in appreciation of Nicks encouragement and assistance when he (WKM) moved to MIT in the early 1980s.
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Wang, Fei, Jun Chen, Jie Zhang, and Jianjiang Zhou. "LPID based criterion for airborne radar hopping frequency design." In 2016 International Symposium on Signal, Image, Video and Communications (ISIVC). IEEE, 2016. http://dx.doi.org/10.1109/isivc.2016.7894016.

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Ramachandran, Mahesh, and Rama Chellappa. "Stabilization and Mosaicing of Airborne Videos." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.313164.

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Sarwar, Omair, Bernhard Rinner, and Andrea Cavallaro. "Design space exploration for adaptive privacy protection in airborne images." In 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2016. http://dx.doi.org/10.1109/avss.2016.7738067.

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