Combined edge segment texture analysis for the detection of damaged buildings in crisis areas

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

Volumn 5, Issue 4, 2012, Pages 1118-1128

  Klonus, S ^a   Tomowski, D ^b   Ehlers, Manfred ^a   Reinartz, Peter ^c   Michel, Ulrich ^d  

^a UNIVERSITY OF OSNABRÜCK   (Germany)

^b CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

^d UNIVERSITY OF EDUCATION HEIDELBERG   (Germany)

Author keywords

Change detection; disaster; edge detection; segmentation

Indexed keywords

CHANGE DETECTION; COMBINED METHOD; DATA SETS; EDGE DETECTION ALGORITHMS; FREQUENCY ANALYSIS; FREQUENCY FILTERING; FREQUENCY INFORMATION; HIGH RESOLUTION; IMAGE DATA; IMAGE DIFFERENCE; MORPHOLOGICAL OPERATIONS; MULTI-TEMPORAL; MULTI-TEMPORAL IMAGE; MULTISPECTRAL TEXTURES; POST CLASSIFICATION; REMOTE SENSING IMAGES; RULE BASED; SPATIAL DOMAINS; SPECTRAL INFORMATION; STANDARD ALGORITHMS; STANDARD METHOD; TEXTURE ANALYSIS;

ALGORITHMS; BANDPASS FILTERS; DISASTERS; EDGE DETECTION; EMBEDDED SYSTEMS; FAST FOURIER TRANSFORMS; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SIGNAL DETECTION; TEXTURES;

IMAGE TEXTURE;

ALGORITHM; DISASTER; FOURIER TRANSFORM; IMAGE ANALYSIS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING;

DARFUR; SUDAN;

EID: 84864766850     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2205559     Document Type: Article

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