摘要
在太空环境中,视传感器捕获图片颜色单一、纹理弱、特征点少,图像拼接难度大。构造Hessian矩阵以及尺度空间,通过非极大值抑制得到了匹配点,并使用Harris角点检测算法构建特征点描述子,采用RANSAC算法对匹配结果进行筛选,得到单应矩阵进而实现拼接。另外,在实验部分使用卫星图片比较了Harris角点检测算法与其他算法处理情况。结果表明,Harris角点检测算法图像拼接效果更好,可基于Harris角点检测算法利用星载处理单元有限算力,达到快速拼接卫星图像的目的。
In the space environment,visual sensors capture images with single colors,weak textures,and few feature points,making image stitching difficult.The Hessian matrix and scale space were constructed to obtain matching points through non maximum suppression,using Harris corner detection algorithm to construct feature point descriptors.RANSAC algorithm was used to filter the matching results and obtain the homography matrix for concatenation.In addition,satellite images were used in the experimental section to compare the processing performance of Harris corner detection algorithm with other algorithms.The results show that the Harris corner detection algorithm has better image stitching performance,and can be used to quickly stitch satellite images using the limited computing power of onboard processing units based on the Harris corner detection algorithm.
作者
陈丽娟
虞业泺
刘晨龙
陈烨海
武子连
卢小豹
李亚卿
CHEN Lijuan;YU Yeluo;LIU Chenlong;CHEN Yehai;WU Zilian;LU Xiaobao;LI Yaqing(Innovation Academy for Microsatellites of CAS,Shanghai 201304,China;Yahekou Irrigation District Affairs Center,Wancheng District,Nanyang 473004,China)
出处
《电信科学》
北大核心
2024年第12期86-92,共7页
Telecommunications Science
