Extraction of Slum Areas From VHR Imagery Using GLCM Variance

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

Volumn 9, Issue 5, 2016, Pages 1830-1840

  Kuffer, Monika ^a   Pfeffer, Karin ^b   Sliuzas, Richard ^a   Baud, Isa ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Global South; gray level co occurrence matrix (GLCM); homogenous urban patches; image segmentation; informal settlements; random forest classification; slums; texture; urban remote sensing; variance

Indexed keywords

AGGREGATES; CLASSIFICATION (OF INFORMATION); DECISION TREES; SATELLITE IMAGERY;

AHMEDABAD , INDIA; GRAY LEVEL CO OCCURRENCE MATRIX(GLCM); NORMALIZED DIFFERENCE VEGETATION INDEX; OVERALL ACCURACIES; PIXEL BASED CLASSIFICATIONS; RANDOM FOREST CLASSIFIER; SPECTRAL INFORMATION; STATISTICAL DATAS;

HOUSING;

IMAGE CLASSIFICATION; INFORMAL SETTLEMENT; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SEGMENTATION; URBAN AREA;

AHMEDABAD; GUJARAT; INDIA; KIGALI; MAHARASHTRA; MUMBAI; RWANDA;

EID: 84979493207     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2538563     Document Type: Article

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