Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2007.4422786
Title: Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in Java 2006
Authors: Liu, B. 
Liew, S.C. 
Issue Date: 2007
Citation: Liu, 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
Abstract: Texture 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.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/115506
ISBN: 1424412129
DOI: 10.1109/IGARSS.2007.4422786
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