Neural network classification of mangrove species from multi-seasonal Ikonos imagery

Photogrammetric Engineering and Remote Sensing

Volumn 74, Issue 7, 2008, Pages 921-927

  Wang, Le ^a   Silván Cárdenas, José L ^b   Sousa, Wayne P ^c  

^a UNIVERSITY AT BUFFALO   (United States)

^b TEXAS STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DROUGHT; FORESTRY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; WIND;

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; DISCRIMINATION ABILITY; ENVIRONMENTAL VARIATIONS; MAXIMUM LIKELIHOOD CLASSIFIERS; NEURAL NETWORK CLASSIFICATION; NEURAL NETWORK CLASSIFIER; SPECTRAL INFORMATION;

CLASSIFICATION (OF INFORMATION);

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLIMATE VARIATION; COMPARATIVE STUDY; ENVIRONMENTAL CHANGE; IMAGERY; MANGROVE; SEASONAL VARIATION; SEASONALITY; TROPICAL FOREST;

CLASSIFICATION; CURING; DROUGHT; FORESTS; HUMIDITY; INFORMATION RETRIEVAL; MANGROVE; NEURAL NETWORKS; RAIN; REMOTE SENSING; SPECIES IDENTIFICATION; SUN LIGHT; WIND;

CARIBBEAN COAST [PANAMA]; CENTRAL AMERICA; PANAMA [CENTRAL AMERICA]; SOUTH AMERICA;

EID: 47549098844     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.74.7.921     Document Type: Article

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