Combining hopfield neural network and contouring methods to enhance super-resolution mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 5, 2012, Pages 1403-1417

  Su, Yuan Fong ^a   Foody, Giles M ^b   Muad, Anuar M ^c   Cheng, Ke Sheng ^d  

^a NATIONAL SCIENCE AND TECHNOLOGY CENTER FOR DISASTER REDUCTION   (Taiwan)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^d NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Contour based approach; Hopfield neural network; soft classification; super resolution mapping

Indexed keywords

BINARY CLASSIFICATION; CONTOUR-BASED APPROACH; GAIN FUNCTION; MAPPING ANALYSIS; MAPPING METHOD; MIXED PIXEL; NETWORK-BASED APPROACH; REAL IMAGE DATA; SOFT CLASSIFICATION; SUPER RESOLUTION;

FACTOR ANALYSIS; MAPPING; OPTICAL RESOLVING POWER;

HOPFIELD NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; CONTOUR MAP; DATA SET; IMAGE CLASSIFICATION; MAPPING METHOD; PIXEL;

EID: 84869494118     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2191537     Document Type: Article

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