The method for semi-automatic extraction of residential area from high resolution remote sensing images
LI Jinxiang1, LI Zhiqiang2, LI Shuai1, WANG Wei1, CHEN Yong1
1. Earthquake Administration of Xinjiang Uygur Autonomous Region, Urumqi 830011, China; 2. Institute of Geology, China Earthquake Administration, Beijing 100029, China
Abstract：Residential area, as an important hazard-bearing body of earthquake disasters, usually constitutes the basis of earthquake emergency preparation. In this paper, 2 m resolution GF-1 satellite remote sensing data were used to extract the spatial distribution information of residential area, which could provide data support for the earthquake emergency preparation. The results reveal that more accurate residential area information of the high resolution GF-1 2 m image can be extracted based on gray level co-occurrence matrix, binarization and mathematical morphology. This proposed algorithm has high accuracy and good robustness. However, higher false alarm rate factor was shown in the extraction of sparse vegetation and non-residential buildings. Thus, in order to ensure data accuracy, the authors compared and analyzed the extraction results and the images, and extracted the ultimate data results semi-automatically by the artificial intervention.
李金香, 李志强, 李帅, 王伟, 陈勇. 高分辨率遥感影像居民地半自动提取方法研究[J]. 国土资源遥感, 2017, 29(3): 17-24.
LI Jinxiang, LI Zhiqiang, LI Shuai, WANG Wei, CHEN Yong. The method for semi-automatic extraction of residential area from high resolution remote sensing images. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 17-24.
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