Comparison of Landsat image classification methods for detecting mangrove forests in Sundarbans

International Journal of Remote Sensing

Volumn 34, Issue 4, 2013, Pages 1041-1056

  Rahman, Mijanur ^a   Ullah, Rahmat ^b   Lan, M ^a   Sri Sumantyo, J T ^a   Kuze, H ^a   Tateishi, R ^a  

^a CHIBA UNIVERSITY   (Japan)

^b Atish Dipankar University of Science and Technology   (Bangladesh)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; MAXIMUM LIKELIHOOD; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SUPERVISED LEARNING;

CLASSIFICATION METHODS; ENHANCED THEMATIC MAPPER PLUS (ETM+); K - MEANS CLUSTERING; MAXIMUM LIKELIHOOD DECISION RULES; REMOTE SENSING IMAGES; SUPERVISED CLASSIFICATION; TOP OF THE ATMOSPHERES; UNSUPERVISED CLASSIFICATION;

MAPPING;

FORESTRY; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; MANGROVE; MAXIMUM LIKELIHOOD ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTRAL ANALYSIS;

BANGLADESH; CLASSIFICATION; DECISION MAKING; FORESTRY; IMAGE ANALYSIS; INDIA; MANGROVE; REMOTE SENSING; SATELLITES;

BANGLADESH; INDIA; SUNDARBANS;

EID: 84867593289     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.717181     Document Type: Article

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