期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B7
页码：1121-1126
出版社：Copernicus Publications
摘要：In this paper a residential area texture description based on the 3×3 region grey deviations is proposed which is much better than based on the grey sy mbiotic matrix and Fourier power spectrum through the experiment and comparison data. Considering the original residential area in the image is composed by the mixed pixels, which have interlaced bright and dark pixels and the darkness area is very similar to the background, the texture character image is solved with the original image at first and a transformation processing of the texture character image such as the Gauss blur is applied to make the residential area in the texture character image possess accordant grey value and definite contrast relative to the background area so that the segmentation threshold can be easy to obtain through the histogram processing or iterate processing in the texture character image. Some residential areas with large interior texture change and asy mmetric texture representation in the original image have the same case in the deviation image while they can be changed from the asymmetric region into equality region through the transformation processing to the texture character image for the successful segmentation. And a skeleton processing is proposed to eliminate the road from the residential area. The experiment results of the semi-automatic extraction of the residential area in the remote sensing image with 3 meters ground resolution show this technique is very simple and effective to the semi-automatic extraction of the residential area and can meet the precision requirement of the mapping and surveying with satellite ima
