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...

Celý popis

Podrobná bibliografia

Vydané v:	Neural networks Ročník 105; s. 346 - 355
Hlavní autori:	Sharma, Atharva, Liu, Xiuwen, Yang, Xiaojun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.09.2018
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!