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Articles from other publishers (15)
Chih-Ming Tseng, Yie-Ruey Chen, Chwen-Ming Chang, Yung-Sheng Chue & Shun-Chieh Hsieh. (2021) Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan. ISPRS International Journal of Geo-Information 10:4, pages 209.
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Tianjun Wu, Jiancheng Luo, Lijing Gao, Yingwei Sun, Wen Dong, Ya’nan Zhou, Wei Liu, Xiaodong Hu, Jiangbo Xi, Changpeng Wang & Yun Yang. (2021) Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China. Remote Sensing 13:2, pages 249.
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Brian Barrett, Christoph Raab, Fiona Cawkwell & Stuart Green. (2016) Upland vegetation mapping using Random Forests with optical and radar satellite data. Remote Sensing in Ecology and Conservation 2:4, pages 212-231.
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Rajesh K. Agrawal & Narendra G. Bawane. (2015) Multiobjective PSO based adaption of neural network topology for pixel classification in satellite imagery. Applied Soft Computing 28, pages 217-225.
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Menaka Chellasamy, Rafal Tomasz Zielinski & Mogens Humlekrog Greve. (2014) A Multievidence Approach for Crop Discrimination Using Multitemporal WorldView-2 Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:8, pages 3491-3501.
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David Graham Milledge, Jeff Warburton, Stuart N. Lane & Carly J. Stevens. (2012) Testing the influence of topography and material properties on catchment‐scale soil moisture patterns using remotely sensed vegetation patterns in a humid temperate catchment, northern Britain. Hydrological Processes 27:8, pages 1223-1237.
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Libin Zhou & Xiaojun Yang. (2010) Training Algorithm Performance for Image Classification by Neural Networks. Photogrammetric Engineering & Remote Sensing 76:8, pages 945-951.
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Mu Bai, Huiping Liu, Wenli Huang, Yu Qiao & Xiaodong Mu. (2009) Automatic farmland extraction from multi-temporal landsat TM data based on artificial neural network. Automatic farmland extraction from multi-temporal landsat TM data based on artificial neural network.
Mu Bai, Huiping Liu, Wenli Huang, Yu Qiao & Xiaodong Mu. (2009) Classification of remotely sensed imagery using adjacent features based approach. Classification of remotely sensed imagery using adjacent features based approach.
Yie-Ruey Chen, Jing-Wen Chen, Shun-Chieh Hsieh & Po-Ning Ni. (2009) The Application of Remote Sensing Technology to the Interpretation of Land Use for Rainfall-Induced Landslides Based on Genetic Algorithms and Artificial Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2:2, pages 87-95.
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Libin Zhou & Xiaojun Yang. (2009) A preliminary study of three training methods for land cover classification by artificial neural networks. A preliminary study of three training methods for land cover classification by artificial neural networks.
Ryan R. Jensen, Perry J. Hardin & Genong Yu. (2009) Artificial Neural Networks and Remote Sensing. Geography Compass 3:2, pages 630-646.
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A. Harris & R. G. Bryant. 2009. Carbon Cycling in Northern Peatlands. Carbon Cycling in Northern Peatlands
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M.J. Aitkenhead, S. Flaherty & M.E.J. Cutler. (2008) Evaluating Neural Networks and Evidence Pooling for Land Cover Mapping. Photogrammetric Engineering & Remote Sensing 74:8, pages 1019-1032.
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Mu Bai, Huiping Liu, Wenli Huang, Xiaoluo Zhou & Xiaodong Mu. (2008) The Research on Image Classification of Remote Sensing Based on an Improved Neural Network. The Research on Image Classification of Remote Sensing Based on an Improved Neural Network.