Texture pattern analysis of main geographical objects in QuickBird imagery

Mujuan Gao; Fang Huang; Ping Wang; Xiangnan Liu

doi:10.1117/12.713018

28 October 2006 Texture pattern analysis of main geographical objects in QuickBird imagery

Mujuan Gao, Fang Huang, Ping Wang, Xiangnan Liu

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641914 (2006) https://doi.org/10.1117/12.713018
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

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.

Citation Download Citation

Mujuan Gao, Fang Huang, Ping Wang, and Xiangnan Liu "Texture pattern analysis of main geographical objects in QuickBird imagery", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641914 (28 October 2006); https://doi.org/10.1117/12.713018

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