研究了双时相影像的联合不确定性对变化检测结果精度的影响机理，为通过抑制不确定性的方法提高变化检测精度的工作奠定理论基础.首先利用联合熵对双时相影像的联合不确定性进行量化评估；进而基于空间统计相关方法，研究影像的联合不确定性与双时相影像变化检测精度指标之间的关系；最后建立双时相影像联合不确定性对变化检测结果精度的作用模型.实验结果表明：双时相影像的联合不确定性与变化检测结果的精度之间呈现出强负相关性，且对变化检测结果精度的影响模式具有线性特征.
This paper aims at studying the influence of image uncertainty on change detection accuracy, and revealing a theoretical basis for improving change detection accuracy by suppressing uncertainty. Firstly, joint entropy is used to evaluate the joint uncertainty of a two-phase image. Then, based on spatial statistical correlation method, the relationship between the joint uncertainty and the indexes characterizing the change detection results' accuracy of the two-phase image is studied. Finally, according to the relationship, an effect model about the joint uncertainty and the accuracy of change detection of the two-phase image is established. Experimental results show that the joint uncertainty of bio-images performs a strong negative-correlation with the accuracy of change detection results in an influence mode of linear feature.
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