As an effective method for describing texture structure, variogram has a good application in residential areas extraction from high-resolution remote sensing image. However, nowadays, residential areas extraction methods mostly apply the calculation in pixel level by moving window, thus the computational efficiency tends to be lower when encountering large images. In addition, when describing texture structure characteristics for different data sources, it has a poor robustness and efficiency for selecting parameters. Therefore, the authors propose an effective method for residential area extraction based on variogram function and grid division in this paper. Firstly, the original image was divided into small grid units and then the unit was taken as the processing object;meanwhile, the optimal description parameters were selected based on the texture difference curve. Finally, the calculated texture characteristics were used to extract residential areas. The experimental results show that the proposed method has better spatial structure description capability and calculation efficiency.
张恩兵, 秦昆, 岳梦雪, 张晔, 曾诚. 基于变差函数和格网划分的居民区特征描述与提取[J]. 国土资源遥感, 2016, 28(4): 149-155.
ZHANG Enbing, QIN Kun, YUE Mengxue, ZHANG Ye, ZENG Cheng. Feature description and extraction of residential area based on variogram function and grid division. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 149-155.
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