Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in java 2006
Texture retrieval using grey-level co-occurrence matrix for Ikonos panchromatic images of earthquake in java 2006
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DOI：
10.1109/igarss.2007.4422786
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发表时间：
2007-07
期刊：
影响因子：
--
通讯作者：
Bingbing Liu;Soo Chin Liew
中科院分区：
文献类型：
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作者：
Bingbing Liu;Soo Chin Liew
纹理特征在遥感应用中经常被用来检索图像的空间规则性。在现有的纹理分析工具中，灰度发生矩阵(GLCM)对于高分辨率光学图像(如Ikonos)是有效的，并被广泛用于纹理特征的分类和分析。2006年5月27日，印度尼西亚爪哇发生里氏6.3级地震，13.5万座房屋被毁。利用GLCM从地震前后地震灾区的Ikonos全色图像中提取纹理信息，以评估当地住宅的破坏程度。
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.