Texture pattern analysis of main geographical objects in QuickBird imagery
Mujuan Gao, Fang Huang, Ping Wang, Xiangnan Liu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
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.