基于目标分析的高分辨率遥感影像建筑物提取方法

Wang Yan, Tao Zui, Lyu Fenghua
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引用次数: 0

摘要

今天可以获得更多的高空间分辨率遥感图像。高分辨率意味着图像上有更多的细节,它提供了一个机会来发现地面物体之间的空间关系。针对从高分辨率遥感影像中提取建筑物的问题,本文提出了一种基于地理目标图像分析(Geographic Object-Based Image Analysis, GEOBIA)的方法,利用阴影、绿地、建筑物之间的关系以及建筑物本身的特征,尝试提取高分辨率遥感影像上的所有建筑物。实验选择ISPRS样本图像作为研究区域,结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Building Extraction Using Object Based Analysis of High Resolution Remote Sensing Images
More high spatial resolution remote sensing images can be available today. High resolution means more details on the images and it gives a chance to find the spatial relationship among ground objects. Aiming at extracting building from high resolution remote sensing images, this paper proposed a method based on Geographic Object-Based Image Analysis (GEOBIA), using the relationship among shadow, greenland, buildings and the building its own characteristics to try to extract all the buildings on the high resolution remote sensing images. The experiment chose the ISPRS sample images as study area and the result has proved the validity of the method.
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