机译:基于空间变异高斯混合模型和可分离性准则的遥感图像变分贝叶斯变化检测
Southwest Jiaotong Univ, Sichuan Prov Key Lab Informat Coding & Transmiss, Chengdu 610031, Sichuan, Peoples R China;
Southwest Jiaotong Univ, Sichuan Prov Key Lab Informat Coding & Transmiss, Chengdu 610031, Sichuan, Peoples R China;
Wuhan Univ, Sch Elect Informat, Wuhan 430079, Hubei, Peoples R China;
Chinese Acad Sci, Key Lab Technol Geospatial Informat Proc & Applic, Inst Elect, Beijing 100190, Peoples R China;
Southwest Jiaotong Univ, Sichuan Prov Key Lab Informat Coding & Transmiss, Chengdu 610031, Sichuan, Peoples R China;
Univ Colorado, Dept Aerosp Engn Sci, Boulder, CO 80309 USA;
Remote sensing (RS); separability criterion; spatial constraint; spatially variant Gaussian mixture model (SVGMM); unsupervised change detection; variational inference (VI);
机译:基于空间变体高斯混合模型和可分支标准的遥感图像变分贝叶斯变化检测
机译:基于空间采样和高斯混合模型的贝叶斯变化检测
机译:基于变分多元高斯混合模型和香农熵的SAR图像无监督变化检测
机译:超顶旋塞分割和变分高斯混合模型的遥感图像的无监督变化检测
机译:基于邻域/对象相关图像分析,专家系统和自动校准模型的遥感变化检测系统。
机译:基于决策混合模型的高分辨率遥感影像近海舰船检测方法
机译:用于遥感多光谱图像无监督鲁棒变化检测的迭代光谱空间贝叶斯标记方法