中文摘要：

提出了利用模糊综合评判进行面向对象的遥感影像变化检测方法。首先对遥感影像进行多尺度分割来获取对象;然后,进行对象的特征优选,利用变化向量模法、χ2变换法、向量相似度法、相关系数法来构造＂综合层间逻辑值＂,并作为因素集建立模糊综合评判模型,对目标对象是否发生变化做出判决。最后与单个＂层间逻辑值＂进行OTSU阈值分割的结果进行对比,证明了该方法的可行性。

英文摘要：

In the process of object-oriented change detection,the accuracy of the final result is directly related to the change threshold.Aiming at this problem,this paper presents a novel object-oriented change detection method using fuzzy comprehensive evaluation.Firstly,multi-scale segmentation is used to obtain initial objects;then,optional features for each object are chosen.Several criteria,such as objects change vector analysis,Chi-square transformation,the similarity of vector,and correlation coefficient,are treated as factors to get the＂synthetic inter-layer logical values＂of the fuzzy comprehensive evaluation model.The fuzzy comprehensive evaluation model is used to decide whether the target object has changed or not.Finally,the result of fuzzy comprehensive evaluation model is compared with the result of each single＂inter-layer logical value＂that using OTSU threshold segmentation.Based on this theory,experiments are done with SPOT5multi-spectral remote sensing imagery.The experimental results illustrate that the model proposed can integrate the spectral and texture features and also overcome the defects caused by using single criteria.The fuzzy comprehensive evaluation model is proved to outperform other methods.