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3 变化检测模型性能比较(0.5%椒盐噪声+零均值,方差0.001的高斯噪声)

Tab.3 Change detection model performance comparison (0.5% salt and pepper noise + zero mean, gaussian noise with variance 0.001)

指标 FCM-SBN- CVAPS SVM- CVAPS FLICM- SBN-CVAPS 错检率 0.347 0.594 0.071 漏检率 0.006 0.291 0.187 总体精度 0.957 0.898 0.979 Kappa系数 0.751 0.549 0.851