Classification of 10m-resolution SPOT data using a combined Bayesian Network Classifier-shape adaptive neighborhood method

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 72, Issue , 2012, Pages 36-45

  Yang, Jingxue ^a   Wang, Yunpeng ^a  

^a GUANGZHOU INSTITUTE OF GEOCHEMISTRY   (China)

Author keywords

Bayesian Network Classifier; Classification; Fisher optimal division; Maximum Likelihood Classifier; Remote sensing; Shape adaptive neighborhood

Indexed keywords

ADAPTIVE NEIGHBORHOOD; BAYESIAN NETWORK CLASSIFIERS; BAYESIAN NETWORK STRUCTURE; CLASSIFICATION RESULTS; DIRECTED ACYCLIC GRAPH (DAG); GUANGZHOU; INVERSION METHODS; LAND USE/COVER; MAXIMUM LIKELIHOOD CLASSIFIERS; OPTIMAL DIVISION; POSTERIOR PROBABILITY; REMOTE SENSING IMAGES; RESOLUTION IMAGES; SHAPE FEATURES; SHAPE-ADAPTIVE; SPECTRAL FEATURE; VARIABLE RELATIONSHIPS;

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); IMAGE RECONSTRUCTION; MAXIMUM LIKELIHOOD; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

BAYESIAN ANALYSIS; LAND COVER; LAND USE; MAXIMUM LIKELIHOOD ANALYSIS; PROBABILITY; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPOT;

CHINA; GUANGDONG; GUANGZHOU;

EID: 84862775956     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.05.011     Document Type: Article

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