A spatial-temporal Hopfield neural network approach for super-resolution land cover mapping with multi-temporal different resolution remotely sensed images

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 93, Issue , 2014, Pages 76-87

  Li, Xiaodong ^a   Ling, Feng ^a   Du, Yun ^a   Feng, Qi ^a   Zhang, Yihang ^a  

^a Wuhan National Laboratory for Optoelectronics   (China)

Author keywords

Change detection; Hopfield neural network; Land cover; Mapping; Multitemporal; Super resolution mapping

Indexed keywords

ALGORITHMS; DIGITAL STORAGE; ERRORS; HOPFIELD NEURAL NETWORKS; IMAGE RESOLUTION; MAPPING; REMOTE SENSING;

CHANGE DETECTION; CLASSIFICATION METHODS; LAND COVER; LAND COVER INFORMATIONS; MULTI-TEMPORAL; REMOTE SENSING TECHNOLOGY; REMOTELY SENSED IMAGES; SUPER-RESOLUTION MAPPINGS;

PIXELS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; LAND COVER; LANDSAT; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; TOPOGRAPHIC MAPPING;

EID: 84899809590     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.03.013     Document Type: Article

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