多光谱遥感影像建筑物提取  

Building Extraction from Multispectral Remotely Sensed Imagery

作　　者：施文灶[1,2] 刘金清[1,2] 黄晞[1,2] 

机构地区：[1]福建师范大学光电与信息工程学院,福州350108 [2]福建师范大学医学光电科学与技术教育部重点实验室福建省光子技术重点实验室,福州350007

出　　处：《计算机系统应用》2017年第8期201-205,共5页Computer Systems & Applications

基　　金：福建省自然科学基金(2017J01464);教育部"长江学者和创新团队发展计划"创新团队项目滚动支持计划(IRT_15R10)

摘　　要：针对传统遥感影像目标提取对数据要求严格及应用受限的问题,提出一种基于非线性尺度空间滤波的建筑物提取算法.首先,构造多光谱影像各个波段的非线性尺度空间并进行迭代滤波;然后,搜索全局影像的标准差曲线的第一个谷点,停止迭代过程;最后,利用最大类间方差法分别对各个波段的滤波结果进行二值化.为了验证本文方法的有效性,选取福州市的一幅航空影像,并与同类方法进行对比.试验结果表明,本文算法能在平滑噪声的同时保留建筑物边缘信息,对于提取排列紧密的建筑物有更好的效果,在保证查准率的前提下,查全率有5%以上的提高.Considering the strict requirements for data and limited application for the traditional method of the object extraction from Remotely Sensed Imagery （RSI）, a building extraction algorithm based on the nonlinear scale-space filtering is proposed. Firstly, nonlinear scale-space of each band in the multispectral RSI is constructed, and the iterative filtering is done. Then, the first valley point in standard deviation curve of the global image is searched to stop the iteration process. Finally, the binarization of filtering results using the Otsu method for each band is made. To verify the validity of the proposed method, an aerial image covering Fuzhou, China is chosen to test and compare with the similar method. Experimental results show that the proposed method can smooth the noise while preserving the building edges information, and has better effect for extraction of the closely spaced buildings. Moreover, the recall of the proposed method increases more than 5% in the premise of ensuring the precision.

关 键 词：非线性尺度空间滤波 多光谱 遥感影像 建筑物 提取 

分 类 号：P237[天文地球—摄影测量与遥感] TP751[天文地球—测绘科学与技术]