Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks

Environmental sustainability research is dependent on accurate land cover information. Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal characteristics and the new data distribution policy, most existing land cov...

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Bibliographic Details

Published in:	Neural networks Vol. 105; pp. 346 - 355
Main Authors:	Sharma, Atharva, Liu, Xiuwen, Yang, Xiaojun
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.09.2018
Subjects:	Deep learning Land cover classification LSTMs Multi-temporal remote sensing imagery Patch-based RNNs Spatial context Deep learning Land cover classification Patch-based RNNs Multi-temporal remote sensing imagery LSTMs Spatial context
ISSN:	0893-6080, 1879-2782, 1879-2782
Online Access:	Get full text
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