Analysis of co-occurrence and discrete wavelet transform textures for differentiation of forest and non-forest vegetation in very-high-resolution optical-sensor imagery

International Journal of Remote Sensing

Volumn 29, Issue 12, 2008, Pages 3417-3456

  Ouma, Yashon O ^a   Tetuko, J ^a   Tateishi, R ^a  

^a CHIBA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE WAVELET TRANSFORMS; FORESTRY; IMAGE ANALYSIS; REMOTE SENSING; SIGNAL RECONSTRUCTION; VEGETATION;

CLASSIFICATION PROCESS; CLASSIFICATION RESULTS; COMPUTER ASSISTED CLASSIFICATIONS; GREY-LEVEL CO-OCCURRENCE MATRIXES; HIGH RESOLUTION REMOTE SENSING IMAGERY; HIGH SPATIAL RESOLUTION; REMOTELY SENSED IMAGERY; WAVELET TRANSFORMATIONS;

CLASSIFICATION (OF INFORMATION);

FOREST INVENTORY; LAND COVER; LANDSCAPE; REMOTE SENSING; SATELLITE IMAGERY; VEGETATION CLASSIFICATION; VEGETATION TYPE; WAVELET ANALYSIS;

EID: 46349105751     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701601782     Document Type: Article

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