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Proceedings Paper

Texture pattern analysis of main geographical objects in QuickBird imagery
Author(s): Mujuan Gao; Fang Huang; Ping Wang; Xiangnan Liu
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Paper Abstract

With the development of the high-resolution remote sensing image, it is important to identify and extract the image information automatically. Texture analysis has been recognized as a useful method of improving the target identification and its accuracy. In this paper we mainly discussed texture patterns analysis of main geographical objects in QuickBird image. We analyze the texture's characteristic using Gray Level Co-occurrence Matrix (GLCM) and the Texture Measure of Gray Level Co-occurrence Matrix (TMGLCM). The texture pattern analysis takes TMGLCM as the main method. We establish a unify texture pattern use the TMGLCM parameter. The method is available after experiment.

Paper Details

Date Published: 28 October 2006
PDF: 9 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641914 (28 October 2006); doi: 10.1117/12.713018
Show Author Affiliations
Mujuan Gao, Northeast Normal Univ. (China)
Fang Huang, Northeast Normal Univ. (China)
International Institute for Geo-Information Science and Earth Observation (Netherlands)
Ping Wang, Northeast Normal Univ. (China)
Xiangnan Liu, China Univ. of Geosciences (China)


Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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