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2 变化检测模型性能比较(零均值,方差0.01高斯噪声)

Tab.2 Change detection model performance comparison (Gaussian noise with zero mean, variance 0.01)

指标 FCM-SBN- CVAPS SVM- CVAPS FCM_S1- SBN- CVAPS KFCM_S1- SBN-CVAPS 错检率 0.501 0.594 0.199 0.070 漏检率 0.525 0.291 0.131 0.241 总体精度 0.923 0.898 0.973 0.977 Kappa系数 0.497 0.466 0.798 0.830