Artículos de revistas sobre el tema "Hyperspectral imaging, Landmine detection, Remote sensing"
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Manley, Paul V., Vasit Sagan, Felix B. Fritschi y Joel G. Burken. "Remote Sensing of Explosives-Induced Stress in Plants: Hyperspectral Imaging Analysis for Remote Detection of Unexploded Threats". Remote Sensing 11, n.º 15 (5 de agosto de 2019): 1827. http://dx.doi.org/10.3390/rs11151827.
Texto completoShukla, Alpana y Rajsi Kot. "An Overview of Hyperspectral Remote Sensing and its applications in various Disciplines". IRA-International Journal of Applied Sciences (ISSN 2455-4499) 5, n.º 2 (12 de diciembre de 2016): 85. http://dx.doi.org/10.21013/jas.v5.n2.p4.
Texto completoLiu, Hong, Tao Yu, Bingliang Hu, Xingsong Hou, Zhoufeng Zhang, Xiao Liu, Jiacheng Liu et al. "UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring". Remote Sensing 13, n.º 20 (12 de octubre de 2021): 4069. http://dx.doi.org/10.3390/rs13204069.
Texto completoLi, Yanyi, Jian Wang, Tong Gao, Qiwen Sun, Liguo Zhang y Mingxiu Tang. "Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images". Computational Intelligence and Neuroscience 2020 (1 de septiembre de 2020): 1–13. http://dx.doi.org/10.1155/2020/8886932.
Texto completoChang, Chein-I., Meiping Song, Junping Zhang y Chao-Cheng Wu. "Editorial for Special Issue “Hyperspectral Imaging and Applications”". Remote Sensing 11, n.º 17 (27 de agosto de 2019): 2012. http://dx.doi.org/10.3390/rs11172012.
Texto completoQian, Liyong, Decheng Wu, Dong Liu, Shalei Song, Shuo Shi, Wei Gong y Le Wang. "Parameter Simulation and Design of an Airborne Hyperspectral Imaging LiDAR System". Remote Sensing 13, n.º 24 (17 de diciembre de 2021): 5123. http://dx.doi.org/10.3390/rs13245123.
Texto completoJha, Sudhanshu Shekhar y Rama Rao Nidamanuri. "Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data". Remote Sensing 12, n.º 13 (3 de julio de 2020): 2145. http://dx.doi.org/10.3390/rs12132145.
Texto completoHuang, Zuo Wei, Shu Guang Wu y Tao Xin Zhang. "A Approach to Change Detection for HR Image". Advanced Materials Research 971-973 (junio de 2014): 1449–53. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1449.
Texto completoWei, Jiaojiao y Xiaofei Wang. "An Overview on Linear Unmixing of Hyperspectral Data". Mathematical Problems in Engineering 2020 (25 de agosto de 2020): 1–12. http://dx.doi.org/10.1155/2020/3735403.
Texto completoSulaiman, Nursyazyla, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nisfariza Mohd Noor y Wan Fazilah Fazlil Ilahi. "The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review". Applied Sciences 12, n.º 5 (1 de marzo de 2022): 2570. http://dx.doi.org/10.3390/app12052570.
Texto completoCline, Don, Simon Yueh, Bruce Chapman, Boba Stankov, Al Gasiewski, Dallas Masters, Kelly Elder et al. "NASA Cold Land Processes Experiment (CLPX 2002/03): Airborne Remote Sensing". Journal of Hydrometeorology 10, n.º 1 (1 de febrero de 2009): 338–46. http://dx.doi.org/10.1175/2008jhm883.1.
Texto completoWang, Yi Ting, Shi Qi Huang, Hong Xia Wang y Dai Zhi Liu. "Study on Anomaly Detection Methods in Hyperspectral Image". Applied Mechanics and Materials 631-632 (septiembre de 2014): 631–35. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.631.
Texto completoRaita-Hakola, A.-M. y I. Pölönen. "PIECEWISE ANOMALY DETECTION USING MINIMAL LEARNING MACHINE FOR HYPERSPECTRAL IMAGES". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (17 de junio de 2021): 89–96. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-89-2021.
Texto completoBalsi, Marco, Monica Moroni, Valter Chiarabini y Giovanni Tanda. "High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing". Remote Sensing 13, n.º 8 (16 de abril de 2021): 1557. http://dx.doi.org/10.3390/rs13081557.
Texto completoDubrovskaya, O. A., T. A. Gurova, I. A. Pestunov y K. Yu Kotov. "METHODS OF DETECTION OF DISEASES ON WHEAT CROPS ACCORDING TO REMOTE SENSING (overview)". Siberian Herald of Agricultural Science 48, n.º 6 (24 de enero de 2019): 76–89. http://dx.doi.org/10.26898/0370-8799-2018-6-11.
Texto completoChang, Chein-I., Meiping Song, Chunyan Yu, Yulei Wang, Haoyang Yu, Jiaojiao Li, Lin Wang, Hsiao-Chi Li y Xiaorun Li. "Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”". Remote Sensing 14, n.º 20 (13 de octubre de 2022): 5111. http://dx.doi.org/10.3390/rs14205111.
Texto completoPaul, A., D. Dutta y C. S. Jha. "TARGET DETECTION USING DLR EARTH SENSING IMAGING SPECTROMETER (DESIS) DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-1/W1-2021 (11 de febrero de 2022): 57–64. http://dx.doi.org/10.5194/isprs-archives-xlvi-1-w1-2021-57-2022.
Texto completoYou, Hojun y Dongsu Kim. "Development of an Image Registration Technique for Fluvial Hyperspectral Imagery Using an Optical Flow Algorithm". Sensors 21, n.º 7 (31 de marzo de 2021): 2407. http://dx.doi.org/10.3390/s21072407.
Texto completoGuyot, Alexandre, Marc Lennon, Nicolas Thomas, Simon Gueguen, Tristan Petit, Thierry Lorho, Serge Cassen y Laurence Hubert-Moy. "Airborne Hyperspectral Imaging for Submerged Archaeological Mapping in Shallow Water Environments". Remote Sensing 11, n.º 19 (25 de septiembre de 2019): 2237. http://dx.doi.org/10.3390/rs11192237.
Texto completoLiu, Tao, Tiezhu Shi, Huan Zhang y Chao Wu. "Detection of Rise Damage by Leaf Folder (Cnaphalocrocis medinalis) Using Unmanned Aerial Vehicle Based Hyperspectral Data". Sustainability 12, n.º 22 (10 de noviembre de 2020): 9343. http://dx.doi.org/10.3390/su12229343.
Texto completoTuohy, Madison, Jasper Baur, Gabriel Steinberg, Jalissa Pirro, Taylor Mitchell, Alex Nikulin, John Frucci y Timothy S. de Smet. "Utilizing UAV-based hyperspectral imaging to detect surficial explosive ordnance". Leading Edge 42, n.º 2 (febrero de 2023): 98–102. http://dx.doi.org/10.1190/tle42020098.1.
Texto completoAbdulridha, Jaafar, Ozgur Batuman y Yiannis Ampatzidis. "UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning". Remote Sensing 11, n.º 11 (8 de junio de 2019): 1373. http://dx.doi.org/10.3390/rs11111373.
Texto completoŽibrat, Uroš, Barbara Gerič Stare, Matej Knapič, Nik Susič, Janez Lapajne y Saša Širca. "Detection of Root-Knot Nematode Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods". Remote Sensing 13, n.º 10 (20 de mayo de 2021): 1996. http://dx.doi.org/10.3390/rs13101996.
Texto completoShen, Ying, Jie Li, Wenfu Lin, Liqiong Chen, Feng Huang y Shu Wang. "Camouflaged Target Detection Based on Snapshot Multispectral Imaging". Remote Sensing 13, n.º 19 (2 de octubre de 2021): 3949. http://dx.doi.org/10.3390/rs13193949.
Texto completoMacfarlane, Fraser, Paul Murray, Stephen Marshall y Henry White. "Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications". Remote Sensing 13, n.º 9 (23 de abril de 2021): 1647. http://dx.doi.org/10.3390/rs13091647.
Texto completoMarquez Castellanos, Miguel Angel, Cesar Augusto Vargas y Henry Arguello. "Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging". Ingeniería e Investigación 36, n.º 3 (19 de diciembre de 2016): 117. http://dx.doi.org/10.15446/ing.investig.v36n3.54267.
Texto completoJewell, Paul W., J. Anna Farnsworth y Theresa Zajac. "Rediscovering the Discovery Outcrop: The Promises and Pitfalls of LiDAR Technology in Mineral Exploration". SEG Discovery, n.º 92 (1 de enero de 2013): 1–18. http://dx.doi.org/10.5382/segnews.2013-92.fea.
Texto completoBecek, K., A. Borkowski y Ç. Mekik. "A STUDY OF THE IMPACT OF INSOLATION ON REMOTE SENSING-BASED LANDCOVER AND LANDUSE DATA EXTRACTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (17 de junio de 2016): 65–69. http://dx.doi.org/10.5194/isprs-archives-xli-b7-65-2016.
Texto completoBecek, K., A. Borkowski y Ç. Mekik. "A STUDY OF THE IMPACT OF INSOLATION ON REMOTE SENSING-BASED LANDCOVER AND LANDUSE DATA EXTRACTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (17 de junio de 2016): 65–69. http://dx.doi.org/10.5194/isprsarchives-xli-b7-65-2016.
Texto completoKuswidiyanto, Lukas Wiku, Hyun-Ho Noh y Xiongzhe Han. "Plant Disease Diagnosis Using Deep Learning Based on Aerial Hyperspectral Images: A Review". Remote Sensing 14, n.º 23 (28 de noviembre de 2022): 6031. http://dx.doi.org/10.3390/rs14236031.
Texto completoHou, Fujin, Yan Zhang, Yong Zhou, Mei Zhang, Bin Lv y Jianqing Wu. "Review on Infrared Imaging Technology". Sustainability 14, n.º 18 (6 de septiembre de 2022): 11161. http://dx.doi.org/10.3390/su141811161.
Texto completoGerhards, Max, Martin Schlerf, Kaniska Mallick y Thomas Udelhoven. "Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review". Remote Sensing 11, n.º 10 (24 de mayo de 2019): 1240. http://dx.doi.org/10.3390/rs11101240.
Texto completoNguyen, Canh, Vasit Sagan, Matthew Maimaitiyiming, Maitiniyazi Maimaitijiang, Sourav Bhadra y Misha T. Kwasniewski. "Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning". Sensors 21, n.º 3 (22 de enero de 2021): 742. http://dx.doi.org/10.3390/s21030742.
Texto completoDierssen, Heidi M., Kelley J. Bostrom, Adam Chlus, Kamille Hammerstrom, David R. Thompson y Zhongping Lee. "Pushing the Limits of Seagrass Remote Sensing in the Turbid Waters of Elkhorn Slough, California". Remote Sensing 11, n.º 14 (12 de julio de 2019): 1664. http://dx.doi.org/10.3390/rs11141664.
Texto completoZhan, Shuyue, Weiwen Zhou, Xu Ma y Hui Huang. "Hyperspectral Imaging Bioinspired by Chromatic Blur Vision in Color Blind Animals". Photonics 6, n.º 3 (12 de agosto de 2019): 91. http://dx.doi.org/10.3390/photonics6030091.
Texto completoHonkavaara, E., R. Näsi, R. Oliveira, N. Viljanen, J. Suomalainen, E. Khoramshahi, T. Hakala et al. "USING MULTITEMPORAL HYPER- AND MULTISPECTRAL UAV IMAGING FOR DETECTING BARK BEETLE INFESTATION ON NORWAY SPRUCE". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (21 de agosto de 2020): 429–34. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-429-2020.
Texto completoLiu, Chun, Mengchi Ai, Zhuo Chen, Yuan Zhou y Hangbin Wu. "Detection of Firmiana danxiaensis Canopies by a Customized Imaging System Mounted on an UAV Platform". Journal of Sensors 2018 (27 de mayo de 2018): 1–12. http://dx.doi.org/10.1155/2018/6869807.
Texto completoSavelonas, Michalis A., Christos N. Veinidis y Theodoros K. Bartsokas. "Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey". Remote Sensing 14, n.º 23 (27 de noviembre de 2022): 6017. http://dx.doi.org/10.3390/rs14236017.
Texto completoDíaz, María, Raúl Guerra, Pablo Horstrand, Sebastián López, José F. López y Roberto Sarmiento. "Towards the Concurrent Execution of Multiple Hyperspectral Imaging Applications by Means of Computationally Simple Operations". Remote Sensing 12, n.º 8 (23 de abril de 2020): 1343. http://dx.doi.org/10.3390/rs12081343.
Texto completoSzalay, K., J. Deákvári, F. Firtha, I. Tolner, Á. Csorba y L. Fenyvesi. "Identifying nutrition sensitive spectral changes in various winter wheat samples". Progress in Agricultural Engineering Sciences 7, n.º 1 (1 de enero de 2011): 47–63. http://dx.doi.org/10.1556/progress.7.2011.4.
Texto completoCigna, Francesca, Deodato Tapete y Zhong Lu. "Remote Sensing of Volcanic Processes and Risk". Remote Sensing 12, n.º 16 (10 de agosto de 2020): 2567. http://dx.doi.org/10.3390/rs12162567.
Texto completoLiu, Bingxin, Yulong Du, Chengyu Liu y Ying Li. "A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager". Sensors 22, n.º 19 (29 de septiembre de 2022): 7403. http://dx.doi.org/10.3390/s22197403.
Texto completoKurihara, Junichi, Voon-Chet Koo, Cheaw Wen Guey, Yang Ping Lee y Haryati Abidin. "Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging". Remote Sensing 14, n.º 3 (8 de febrero de 2022): 799. http://dx.doi.org/10.3390/rs14030799.
Texto completoGallagher, Neal B., Barry M. Wise y David M. Sheen. "Error Analysis for Estimation of Trace Vapor Concentration Pathlength in Stack Plumes". Applied Spectroscopy 57, n.º 6 (junio de 2003): 614–21. http://dx.doi.org/10.1366/000370203322005283.
Texto completoGao, Bo-Cai y Rong-Rong Li. "FVI—A Floating Vegetation Index Formed with Three Near-IR Channels in the 1.0–1.24 μm Spectral Range for the Detection of Vegetation Floating over Water Surfaces". Remote Sensing 10, n.º 9 (7 de septiembre de 2018): 1421. http://dx.doi.org/10.3390/rs10091421.
Texto completoJeong, Yongsik, Jaehyung Yu, Lei Wang, Huy Hoa Huynh y Hyun-Cheol Kim. "Monitoring Asbestos Mine Remediation Using Airborne Hyperspectral Imaging System: A Case Study of Jefferson Lake Mine, US". Remote Sensing 14, n.º 21 (4 de noviembre de 2022): 5572. http://dx.doi.org/10.3390/rs14215572.
Texto completoChang, Zhanyuan, Huiling Yu, Yizhuo Zhang y Keqi Wang. "Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network". Sensors 20, n.º 14 (16 de julio de 2020): 3961. http://dx.doi.org/10.3390/s20143961.
Texto completoMahlein, Anne-Katrin. "Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping". Plant Disease 100, n.º 2 (febrero de 2016): 241–51. http://dx.doi.org/10.1094/pdis-03-15-0340-fe.
Texto completoIost Filho, Fernando Henrique, Juliano de Bastos Pazini, André Dantas de Medeiros, David Luciano Rosalen y Pedro Takao Yamamoto. "Assessment of Injury by Four Major Pests in Soybean Plants Using Hyperspectral Proximal Imaging". Agronomy 12, n.º 7 (24 de junio de 2022): 1516. http://dx.doi.org/10.3390/agronomy12071516.
Texto completoWang, Xiaoxu, Zihui Zhang, Shurong Wang, Yu Huang, Guanyu Lin, Zhanfeng Li y Xiaohu Yang. "Atmospheric Aerosol Multiband Synthesis Imaging Spectrometer". Applied Spectroscopy 73, n.º 2 (14 de noviembre de 2018): 221–28. http://dx.doi.org/10.1177/0003702818809474.
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