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机译:基于区域特征和边缘的可见和红外图像配准
School of Computer Science, Northwestern Polytechnical University, Xi'an, China;
School of Computer Science, Northwestern Polytechnical University, Xi'an, China;
School of Computer Science, Northwestern Polytechnical University, Xi'an, China;
Department of Computer Science and Information Systems, Birkbeck College, University of London, London, UK;
School of Computer Science, Northwestern Polytechnical University, Xi'an, China,Henan University of Science and Technology, Luoyang, China;
Multi-sensor; Image registration; Region features; Edginess;
机译:eolgd:基于边缘特征描述的远波红外和可见图像配准方法
机译:基于视觉显着性和尺度不变特征变换的红外和可见光图像注册
机译:基于视觉显着特征的可见光和红外图像配准
机译:基于四边形特征的电气设备检查机器人的可见图像和红外图像之间的图像配准
机译:开发和评估用于长波长红外和可见波长图像的图像配准和分割算法。
机译:基于受约束点特征的红外可见图像登记方法
机译:基于混合图像特征的红外可见图像自动配准算法
机译:评估来自Tres marias地区(巴西米纳斯吉拉斯州)的sIR-a(穿梭成像雷达)图像,使用派生的空间特征和mss-LaNDsaT图像登记