NDLI: Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in java 2006

Content Provider	IEEE Xplore Digital Library
Author	Bingbing Liu Soo Chin Liew
Copyright Year	2007
Description	Author affiliation: Singapore Nat. Univ., Singapore (Bingbing Liu; Soo Chin Liew)
Abstract	Texture features have often been used in remote sensing applications to retrieve spatial regularities for images. Among existent texture analytical tools, grey-level occurrence 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.
Starting Page	286
Ending Page	289
File Size	765267
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4422786
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Earthquakes Java Image texture analysis Remote sensing Image analysis Spatial resolution Image resolution Optical sensors Information retrieval
Content Type	Text
Resource Type	Article

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Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in java 2006