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.
CHAO Jian, ZHANG Huifang, XU Changjun, ZHANG Penglin
. Research on Influence Mechanism of Joint Uncertainty of Bio-images on Change Detection Accuracy[J]. Journal of Applied Sciences, 2020
, 38(6)
: 916
-923
.
DOI: 10.3969/j.issn.0255-8297.2020.06.008
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