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|Title:||Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in Java 2006|
|Authors:||Liu, B. |
|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)|
|Appears in Collections:||Staff Publications|
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