Abstract: Aiming at the low registration accuracy of Synthetic Aperture Radar (SAR) images and optical images,a point feature descriptor HHIHC based on corner amplitude and orientation is proposed to improve the Harris corner detector.The detector's response function is extended from a first-order term to a second-order term to improve its robustness to SAR image noise.At the same time,a weight function combining pixel space and gray information is constructed to improve the accuracy of corner detection.Experimental results show that compared with conventional Harris corner detector,the improved detector can effectively reduce the influence of SAR image noise and has higher registration accuracy.

Key words: registration, Harris corner detector, Synthetic Apecture Radar(SAR) image, optical image, structural feature

摘要： 针对合成孔径雷达（SAR）图像与可见光图像配准精度低的问题，提出一种基于角点幅值与方向的点特征描述符HIOHC，用以改进Harris角点检测器。将检测器的响应函数从一阶项扩展为二阶项，提高其对SAR图像噪声的鲁棒性，同时构建一个组合像素空间及灰度信息的权值函数，提高角点检测的准确性。实验结果表明，与传统的Harris检测器相比，改进的检测器能够有效降低SAR图像噪声的影响，具有更高的配准精度。

关键词: 配准, Harris角点检测器, 合成孔径雷达图像, 可见光图像, 结构特征

CLC Number: 

• TP751