基于中性集对北川羌族自治县新城人工建设用地的识别

Analysis of built- up land detection in new Beichuan County based on neutrosophic set

人工建设用地(包括建筑物、道路、广场等社会服务设施)的识别一直是用来监测地区发展速度的一个有效途径。针对目前在人工建设用地识别领域中对在建建筑物的忽视问题,利用中性集、均值漂移以及绿度因子等概念将在建建设用地信息进行增强,进而将其成功识别出来。实验证明,该方法对高分辨率遥感影像的人工建设用地识别是可行的。通过分析2009—2013年期间北川新城的建设工地面积及分布的变化情况可以看出,北川新城在2010—2013年期间完工面积占2009—2010年新建工程总面积的98.17%,在北川新城拓展区又新建0.6 km2的工程,施工迅速,为受灾居民提供了良好的居住和生活保障。

The detection of built-up land, including buildings, roads, squares and other social service facilities, has been an effective method in monitoring developing speed of a specific area. The purpose of this paper is to find the methods suitable for monitoring and comparing the progress of constructing new Beichuan on the basis of high spatial resolution aerial images. Aimed at solving the problem of neglecting buildings under construction in built-up area detection, the method put forward by the authors successfully extracted constructions in process by synthesizing neutrosophic set, mean shift and green factor. Experiments show that the method is effective in detecting built-up areas from remote sensed images with high spatial resolution. An analysis of change detection of built-up area from the year 2009 to 2013 indicates that new Beichuan has accomplished 98 . 17% of the project area where the construction was started from 2009 to 2010. Moreover, from the year 2010 to 2013, new Beichuan started several projects which occupied an area of 0. 6 km2 . High developing rate makes it possible for new Beichuan to be able to guarantee the living environment for victims of the earthquake.