Learning a transferable change rule from a recurrent neural network for land cover change detection

Remote Sensing

Volumn 8, Issue 6, 2016, Pages

  Lyu, Haobo ^a   Lu, Hui ^a,b   Mou, Lichao ^c,d  

^a TSINGHUA UNIVERSITY   (China)

^b JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Change detection; LSTMmodel; Recurrent neural network; Transferability; multi spectral image

Indexed keywords

BINS; COMPLEX NETWORKS; IMAGE PROCESSING; REMOTE SENSING; SIGNAL DETECTION; SPECTROSCOPY;

CHANGE DETECTION; INFORMATION CONCERNING; LONG SHORT TERM MEMORY; LSTMMODEL; MULTI-TEMPORAL IMAGE; MULTISPECTRAL IMAGES; REMOTE SENSING ANALYSIS; REMOTE SENSING DATA;

RECURRENT NEURAL NETWORKS;

EID: 84974817496     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8060506     Document Type: Article

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