基于空间模糊C均值聚类和贝叶斯网络的抗噪声遥感图像变化检测

王子浩, 李轶鲲, 李小军, 杨树文

Noise-resistant change detection for remote sensing images based on spatial fuzzy C-means clustering and a Bayesian network

WANG Zihao, LI Yikun, LI Xiaojun, YANG Shuwen

表1 变化检测模型性能比较(5%椒盐噪声)

Tab.1 Change detection model performance comparison(5% salt and pepper noise)

指标 FCM-SBN- CVAPS SVM- CVAPS FCM_S2- SBN- CVAPS KFCM_S2- SBN-CVAPS 错检率 0.341 0.684 0.209 0.325 漏检率 0.202 0.070 0.076 0.095 总体精度 0.953 0.841 0.975 0.959 Kappa系数 0.647 0.406 0.844 0.751