Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2007.4422786
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dc.titleTexture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in Java 2006
dc.contributor.authorLiu, B.
dc.contributor.authorLiew, S.C.
dc.date.accessioned2014-12-12T07:16:24Z
dc.date.available2014-12-12T07:16:24Z
dc.date.issued2007
dc.identifier.citationLiu, B., Liew, S.C. (2007). Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in Java 2006. International Geoscience and Remote Sensing Symposium (IGARSS) : 286-289. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2007.4422786
dc.identifier.isbn1424412129
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115506
dc.description.abstractTexture features have often been used in remote sensing applications to retrieve spatial regularities for images. Among existent texture analytical tools, grey-level cooccurrence matrix (GLCM) is effective for high resolution optical imagery (e.g. Ikonos) and widely accepted for the classification and analysis of texture features. On May 27th 2006, a Mw 6.3 earthquake took place in Java, Indonesia, which destroyed 135,000 homes. Texture information was retrieved using GLCM from Ikonos panchromatic images, which were taken in the earthquake-affected areas both before and after the earthquake, to evaluate the damage of local residences. ©2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IGARSS.2007.4422786
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.doi10.1109/IGARSS.2007.4422786
dc.description.sourcetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.page286-289
dc.description.codenIGRSE
dc.identifier.isiut000256657300072
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