关键词: 高分辨率遥感影像, 多尺度分割, 统计区域增长, 四邻域策略, 多边形对象

Abstract: With the development of remote sensing technology, high-resolution remote sensing imagery’s content becomes more and more complicated. Information presentation is more and more precise. If these image segmentation or classification methods suitable for medium-sized and low resolution imagery are applied to high-resolution imagery directly, result is always unsatisfactory. On the basis of the algorithm of the traditional region merging, high-resolution imagery is carried out quadruplex optimization, adopted four neighborhood region tactics to plot out different pixel pairs, which are merged into bigger region under different scales and strictly establishing merging criterion. The area threshold is determined, and region smaller than threshold will be merged. Segmentation imagery is obtained. Experiment proves that the algorithm realizes extraction of object to some extent, reducing calculation work of traditional regional merging algorithm, taking the spatial characteristic of pixel into consideration. Meanwhile, it possesses good  noise-resistance ability, meeting the demands of dealing with high-resolution remote sensing image with intense noise.

Key words: high-resolution remote sensing imagery, multi-scale segmentation, statistical region merging, four-neighborhood regional strategy, polygonal object