Articoli di riviste sul tema "Imagerie RGB"
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Vigneau, Nathalie, Corentin Chéron, Aleixandre Verger e Frédéric Baret. "Imagerie aérienne par drone : exploitation des données pour l'agriculture de précision". Revue Française de Photogrammétrie et de Télédétection, n. 213 (26 aprile 2017): 125–31. http://dx.doi.org/10.52638/rfpt.2017.203.
Shen, Xin, Lin Cao, Bisheng Yang, Zhong Xu e Guibin Wang. "Estimation of Forest Structural Attributes Using Spectral Indices and Point Clouds from UAS-Based Multispectral and RGB Imageries". Remote Sensing 11, n. 7 (3 aprile 2019): 800. http://dx.doi.org/10.3390/rs11070800.
Priyankara, Prabath, e Takehiro Morimoto. "UAV Based Agricultural Crop Canopy Mapping for Crop Field Monitoring". Abstracts of the ICA 1 (15 luglio 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-303-2019.
Purwanto, Anang Dwi, e Wikanti Asriningrum. "IDENTIFICATION OF MANGROVE FORESTS USING MULTISPECTRAL SATELLITE IMAGERIES". International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, n. 1 (30 ottobre 2019): 63. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3097.
Chhatkuli, S., T. Satoh e K. Tachibana. "MULTI SENSOR DATA INTEGRATION FOR AN ACCURATE 3D MODEL GENERATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (11 maggio 2015): 103–6. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-103-2015.
Argyrou, Argyro, Athos Agapiou, Apostolos Papakonstantinou e Dimitrios D. Alexakis. "Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics". Drones 7, n. 9 (13 settembre 2023): 578. http://dx.doi.org/10.3390/drones7090578.
Mawardi, Sonny, Emi Sukiyah e Iyan Haryanto. "Morphotectonic Characteristics Of Cisadane Watersshed Based On Satellite Images Analysis". Jurnal Geologi dan Sumberdaya Mineral 20, n. 3 (22 agosto 2019): 175. http://dx.doi.org/10.33332/jgsm.geologi.v20i3.464.
Vanbrabant, Yasmin, Stephanie Delalieux, Laurent Tits, Klaas Pauly, Joke Vandermaesen e Ben Somers. "Pear Flower Cluster Quantification Using RGB Drone Imagery". Agronomy 10, n. 3 (17 marzo 2020): 407. http://dx.doi.org/10.3390/agronomy10030407.
Simes, Tomás, Luís Pádua e Alexandra Moutinho. "Wildfire Burnt Area Severity Classification from UAV-Based RGB and Multispectral Imagery". Remote Sensing 16, n. 1 (20 dicembre 2023): 30. http://dx.doi.org/10.3390/rs16010030.
Semah, Franck. "Imagerie médicale et épilepsies". Revue Générale Nucléaire, n. 4 (agosto 2001): 36–37. http://dx.doi.org/10.1051/rgn/20014036.
Aarts, L., A. LaRocque, B. Leblon e A. Douglas. "USE OF UAV IMAGERY FOR EELGRASS MAPPING IN ATLANTIC CANADA". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (3 agosto 2020): 287–92. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-287-2020.
Berndt, Emily, Nicholas Elmer, Lori Schultz e Andrew Molthan. "A Methodology to Determine Recipe Adjustments for Multispectral Composites Derived from Next-Generation Advanced Satellite Imagers". Journal of Atmospheric and Oceanic Technology 35, n. 3 (marzo 2018): 643–64. http://dx.doi.org/10.1175/jtech-d-17-0047.1.
Wu, Jingru, Qixia Man, Xinming Yang, Pinliang Dong, Xiaotong Ma, Chunhui Liu e Changyin Han. "Fine Classification of Urban Tree Species Based on UAV-Based RGB Imagery and LiDAR Data". Forests 15, n. 2 (19 febbraio 2024): 390. http://dx.doi.org/10.3390/f15020390.
Koukiou, Georgia. "Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery". Journal of Imaging 8, n. 3 (7 marzo 2022): 67. http://dx.doi.org/10.3390/jimaging8030067.
García-Fernández, Marta, Enoc Sanz-Ablanedo e José Ramón Rodríguez-Pérez. "High-Resolution Drone-Acquired RGB Imagery to Estimate Spatial Grape Quality Variability". Agronomy 11, n. 4 (30 marzo 2021): 655. http://dx.doi.org/10.3390/agronomy11040655.
Niu, Yaxiao, Liyuan Zhang, Huihui Zhang, Wenting Han e Xingshuo Peng. "Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery". Remote Sensing 11, n. 11 (28 maggio 2019): 1261. http://dx.doi.org/10.3390/rs11111261.
Eltner, A., D. Mader, N. Szopos, B. Nagy, J. Grundmann e L. Bertalan. "USING THERMAL AND RGB UAV IMAGERY TO MEASURE SURFACE FLOW VELOCITIES OF RIVERS". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (28 giugno 2021): 717–22. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-717-2021.
Fernandez-Gallego, Jose, Ma Buchaillot, Nieves Aparicio Gutiérrez, María Nieto-Taladriz, José Araus e Shawn Kefauver. "Automatic Wheat Ear Counting Using Thermal Imagery". Remote Sensing 11, n. 7 (28 marzo 2019): 751. http://dx.doi.org/10.3390/rs11070751.
Tubau Comas, A., J. Valente e L. Kooistra. "AUTOMATIC APPLE TREE BLOSSOM ESTIMATION FROM UAV RGB IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (4 giugno 2019): 631–35. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-631-2019.
Chen, Jianqu, Xunmeng Li, Kai Wang, Shouyu Zhang, Jun Li e Mingbo Sun. "Assessment of intertidal seaweed biomass based on RGB imagery". PLOS ONE 17, n. 2 (24 febbraio 2022): e0263416. http://dx.doi.org/10.1371/journal.pone.0263416.
Pádua, Luís, Pedro Marques, Jonáš Hruška, Telmo Adão, Emanuel Peres, Raul Morais e Joaquim Sousa. "Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery". Remote Sensing 10, n. 12 (29 novembre 2018): 1907. http://dx.doi.org/10.3390/rs10121907.
Yassine, H., K. Tout e M. Jaber. "IMPROVING LULC CLASSIFICATION FROM SATELLITE IMAGERY USING DEEP LEARNING – EUROSAT DATASET". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (28 giugno 2021): 369–76. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-369-2021.
Iskandar, Beni, I. Nengah Surati Jaya e Muhammad Buce Saleh. "Crown closure segmentation on wetland lowland forest using the mean shift algorithm". Indonesian Journal of Electrical Engineering and Computer Science 24, n. 2 (1 novembre 2021): 965. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp965-977.
Rau, J. Y., J. P. Jhan e C. Y. Huang. "ORTHO-RECTIFICATION OF NARROW BAND MULTI-SPECTRAL IMAGERY ASSISTED BY DSLR RGB IMAGERY ACQUIRED BY A FIXED-WING UAS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (26 agosto 2015): 67–74. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-67-2015.
Shi, Weibo, Xiaohan Liao, Jia Sun, Zhengjian Zhang, Dongliang Wang, Shaoqiang Wang, Wenqiu Qu et al. "Optimizing Observation Plans for Identifying Faxon Fir (Abies fargesii var. Faxoniana) Using Monthly Unmanned Aerial Vehicle Imagery". Remote Sensing 15, n. 8 (21 aprile 2023): 2205. http://dx.doi.org/10.3390/rs15082205.
Fu, Yuanyuan, Guijun Yang, Zhenhai Li, Xiaoyu Song, Zhenhong Li, Xingang Xu, Pei Wang e Chunjiang Zhao. "Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes Regression". Remote Sensing 12, n. 22 (18 novembre 2020): 3778. http://dx.doi.org/10.3390/rs12223778.
Li, Hui, Linhai Jing, Changyong Dou e Haifeng Ding. "A Comprehensive Assessment of the Pansharpening of the Nighttime Light Imagery of the Glimmer Imager of the Sustainable Development Science Satellite 1". Remote Sensing 16, n. 2 (8 gennaio 2024): 245. http://dx.doi.org/10.3390/rs16020245.
Feng, Haikuan, Huilin Tao, Zhenhai Li, Guijun Yang e Chunjiang Zhao. "Comparison of UAV RGB Imagery and Hyperspectral Remote-Sensing Data for Monitoring Winter Wheat Growth". Remote Sensing 14, n. 15 (8 agosto 2022): 3811. http://dx.doi.org/10.3390/rs14153811.
López-García, Patricia, Diego Intrigliolo, Miguel A. Moreno, Alejandro Martínez-Moreno, José Fernando Ortega, Eva Pilar Pérez-Álvarez e Rocío Ballesteros. "Machine Learning-Based Processing of Multispectral and RGB UAV Imagery for the Multitemporal Monitoring of Vineyard Water Status". Agronomy 12, n. 9 (7 settembre 2022): 2122. http://dx.doi.org/10.3390/agronomy12092122.
Wu, Qiang, Yongping Zhang, Min Xie, Zhiwei Zhao, Lei Yang, Jie Liu e Dingyi Hou. "Estimation of Fv/Fm in Spring Wheat Using UAV-Based Multispectral and RGB Imagery with Multiple Machine Learning Methods". Agronomy 13, n. 4 (29 marzo 2023): 1003. http://dx.doi.org/10.3390/agronomy13041003.
Lussem, U., A. Bolten, M. L. Gnyp, J. Jasper e G. Bareth. "EVALUATION OF RGB-BASED VEGETATION INDICES FROM UAV IMAGERY TO ESTIMATE FORAGE YIELD IN GRASSLAND". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30 aprile 2018): 1215–19. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1215-2018.
Dabrowski, R., A. Orych, A. Jenerowicz e P. Walczykowski. "PRELIMINARY RESULTS FROM THE PORTABLE IMAGERY QUALITY ASSESSMENT TEST FIELD (PIQuAT) OF UAV IMAGERY FOR IMAGERY RECONNAISSANCE PURPOSES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (26 agosto 2015): 111–15. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-111-2015.
Jollet, D., U. Rascher e M. Müller-Linow. "Assessing yield quality parameters in bush bean via RGB imagery". Acta Horticulturae, n. 1327 (novembre 2021): 421–28. http://dx.doi.org/10.17660/actahortic.2021.1327.56.
Sebastian, C., B. Boom, T. van Lankveld, E. Bondarev e P. H. N. De With. "BOOTSTRAPPED CNNS FOR BUILDING SEGMENTATION ON RGB-D AERIAL IMAGERY". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (19 settembre 2018): 187–92. http://dx.doi.org/10.5194/isprs-annals-iv-4-187-2018.
Rodriguez-Gallo, Yakdiel, Byron Escobar-Benitez e Jony Rodriguez-Lainez. "Robust Coffee Rust Detection Using UAV-Based Aerial RGB Imagery". AgriEngineering 5, n. 3 (21 agosto 2023): 1415–31. http://dx.doi.org/10.3390/agriengineering5030088.
Psiroukis, Vasilis, George Papadopoulos, Aikaterini Kasimati, Nikos Tsoulias e Spyros Fountas. "Cotton Growth Modelling Using UAS-Derived DSM and RGB Imagery". Remote Sensing 15, n. 5 (22 febbraio 2023): 1214. http://dx.doi.org/10.3390/rs15051214.
Surový, P., N. A Ribeiro, A. C Oliveira e Ľ. Scheer. "Discrimination of vegetation from the background in high resolution colour remote sensed imagery". Journal of Forest Science 50, No. 4 (11 gennaio 2012): 161–70. http://dx.doi.org/10.17221/4611-jfs.
Agapiou, Athos. "Vegetation Extraction Using Visible-Bands from Openly Licensed Unmanned Aerial Vehicle Imagery". Drones 4, n. 2 (26 giugno 2020): 27. http://dx.doi.org/10.3390/drones4020027.
Wang, Jiali, Ming Chen, Weidong Zhu, Liting Hu e Yasong Wang. "A Combined Approach for Retrieving Bathymetry from Aerial Stereo RGB Imagery". Remote Sensing 14, n. 3 (7 febbraio 2022): 760. http://dx.doi.org/10.3390/rs14030760.
Chandel, Narendra S., Yogesh A. Rajwade, Kumkum Dubey, Abhilash K. Chandel, A. Subeesh e Mukesh K. Tiwari. "Water Stress Identification of Winter Wheat Crop with State-of-the-Art AI Techniques and High-Resolution Thermal-RGB Imagery". Plants 11, n. 23 (2 dicembre 2022): 3344. http://dx.doi.org/10.3390/plants11233344.
Zhang, Jiuyuan, Jingshan Lu, Qiuyan Zhang, Qimo Qi, Gangjun Zheng, Fadi Chen, Sumei Chen, Fei Zhang, Weimin Fang e Zhiyong Guan. "Estimation of Garden Chrysanthemum Crown Diameter Using Unmanned Aerial Vehicle (UAV)-Based RGB Imagery". Agronomy 14, n. 2 (6 febbraio 2024): 337. http://dx.doi.org/10.3390/agronomy14020337.
Makinde, Esther, e Oluwaseun Oyelade. "Land Cover Mapping Using Sentinel-1 SAR Satellite Imagery of Lagos State for 2017". Proceedings 2, n. 22 (29 ottobre 2018): 1399. http://dx.doi.org/10.3390/proceedings2221399.
Alldieck, Thiemo, Chris Bahnsen e Thomas Moeslund. "Context-Aware Fusion of RGB and Thermal Imagery for Traffic Monitoring". Sensors 16, n. 11 (18 novembre 2016): 1947. http://dx.doi.org/10.3390/s16111947.
Abu Sari, Mohd Yazid, Yana Mazwin Mohmad Hassim, Rahmat Hidayat e Asmala Ahmad. "Monitoring Rice Crop and Paddy Field Condition Using UAV RGB Imagery". JOIV : International Journal on Informatics Visualization 5, n. 4 (31 dicembre 2021): 469. http://dx.doi.org/10.30630/joiv.5.4.742.
Soria, Xavier, Angel Sappa e Riad Hammoud. "Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images". Sensors 18, n. 7 (27 giugno 2018): 2059. http://dx.doi.org/10.3390/s18072059.
Paccaud, Philippe, e D. A. Barry. "Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery". PLOS ONE 13, n. 10 (22 ottobre 2018): e0205319. http://dx.doi.org/10.1371/journal.pone.0205319.
Tedore, Cynthia, e Sönke Johnsen. "Using RGB displays to portray color realistic imagery to animal eyes". Current Zoology 63, n. 1 (30 giugno 2016): 27–34. http://dx.doi.org/10.1093/cz/zow076.
Laslier, Marianne, Laurence Hubert‐Moy, Thomas Corpetti e Simon Dufour. "Monitoring the colonization of alluvial deposits using multitemporal UAV RGB ‐imagery". Applied Vegetation Science 22, n. 4 (ottobre 2019): 561–72. http://dx.doi.org/10.1111/avsc.12455.
Pádua, Luís, Pedro Marques, Jonáš Hruška, Telmo Adão, José Bessa, António Sousa, Emanuel Peres, Raul Morais e Joaquim J. Sousa. "Vineyard properties extraction combining UAS-based RGB imagery with elevation data". International Journal of Remote Sensing 39, n. 15-16 (10 maggio 2018): 5377–401. http://dx.doi.org/10.1080/01431161.2018.1471548.
Davidson, Corey, Vishnu Jaganathan, Arun Narenthiran Sivakumar, Joby M. Prince Czarnecki e Girish Chowdhary. "NDVI/NDRE prediction from standard RGB aerial imagery using deep learning". Computers and Electronics in Agriculture 203 (dicembre 2022): 107396. http://dx.doi.org/10.1016/j.compag.2022.107396.