结合多尺度角点和Harris变换的遥感图像配准方法  

A Remote Sensing Image Registration Algorithm Based on Multi-scale Corner and Harris Transformation

作　　者：杨艳丽 夏朝辉 张金生 王李平[2] YANG Yanli;XIA Chaohui;ZHANG Jinsheng;WANG Liping(Missile Academy,Rocket Force University of Engineering,Xi'an 710025,China;Dadukou District Bureau of Chongqing Public Security Bureau,Chongqing 400084,China)

机构地区：[1]火箭军工程大学导弹工程学院,西安710025 [2]重庆市公安局大渡口区分局,重庆400084

出　　处：《电光与控制》2020年第8期105-108,共4页Electronics Optics & Control

摘　　要：提出了一种新的基于多尺度角点和Harris变换相结合的角点检测的图像配准方法。其核心思想是采用Harris算子和Laplace图像金字塔相结合,对原始图像进行不同尺度的向下采样并对得到的图像进行角点检测,得到角点的角度和尺度响应的最值点比(尺度精定位),对图像进行旋转和平移变换,完成图像配准。理论分析和仿真实验表明,该算法具有较高的配准精度且计算量较小。A new image registration algorithm based on multi-scale corner and Harris transformation is proposed,whose core idea is the combination of Harris operator and the Laplace image pyramid.The original image is sampled down on different scales and the corner of the obtained image is detected.The angle of the corner and the ratio of maximum values of the scale response(scale fine positioning) are obtained.Then the image is rotated and translated to complete the image registration.Theoretical analysis and simulation results show that the algorithm has higher registration accuracy and less computation amount.

关 键 词：图像配准 多尺度角点 HARRIS算子 尺度响应 

分 类 号：P407.8[天文地球—大气科学及气象学]