联合概率密度空间的遥感自适应变化检测方法

多种因素引起的辐射特征变化，将造成阈值法变化检测的误检。对此，本文提出了一种联合概率密度空间的多阈值自适应变化检测方法。首先，将影像从像素空间转化到联合概率密度空间，将变化地物定义为联合概率密度空间的离群点，并采用迭代方法将其提取，然后映射回原始影像后确定变化区域。选取两种典型应用进行试验，结果表明，本文方法在正确率、误检率和漏检率方面优于传统方法，具有较好的稳健性。...

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Bibliographic Details
Published inCe hui xue bao Vol. 45; no. 1; pp. 73 - 79
Main Author 吴炜 沈占锋 吴田军 王卫红
Format Journal Article
LanguageChinese
English
Published Beijing Surveying and Mapping Press 2016
浙江工业大学计算机学院,浙江杭州,310023%中国科学院遥感与数字地球研究所,北京,100101%长安大学理学院,陕西西安,710064
Subjects
Change detection
False alarms
Image acquisition
Land cover
Outliers (statistics)
Remote sensing
Threshold limits
联合概率密度
自适应多阈值
迭代法
非监督变化检测
unsupervised change detection
非监督变化检测
self-adaptive multi threshold
联合概率密度
迭代法
joint probability density
自适应多阈值
iterative method
Online AccessGet full text
ISSN1001-1595
1001-1595
DOI10.11947/j.AGCS.2016.20140484

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Summary:多种因素引起的辐射特征变化，将造成阈值法变化检测的误检。对此，本文提出了一种联合概率密度空间的多阈值自适应变化检测方法。首先，将影像从像素空间转化到联合概率密度空间，将变化地物定义为联合概率密度空间的离群点，并采用迭代方法将其提取，然后映射回原始影像后确定变化区域。选取两种典型应用进行试验，结果表明，本文方法在正确率、误检率和漏检率方面优于传统方法，具有较好的稳健性。
Bibliography:WU Wei,SHEN Zhanfeng ,WU Tianjun ,WANG Weihong（ 1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023,China; 2. Institute ef Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing 100101,China; 3. College of Science, Chang＇an University,Xi＇an 710064,China）
A variety of factors has led to radiometric variations of the land cover, which severely limits the threshold based change detection method performance. To overcome this problem, we propose a joint probability density space based self adaptive multi-threshold change detection approach. Firstly, the two images of the same geographic area acquired at different time are transformed into the joint probability space. In which, the land cover change pixels are defined as outliers and identified by an iterative method. Then, the extracted outliers are mapped back to the original image space and determine the change area. To illustrate the performance of the proposed method, an experimental analysis on two c
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ISSN:1001-1595
1001-1595
DOI:10.11947/j.AGCS.2016.20140484