首页|基于快速异源配准的高分辨率SAR影像海岛区域正射校正

基于快速异源配准的高分辨率SAR影像海岛区域正射校正

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随着高分辨率合成孔径雷达(SAR)卫星的陆续发射,对天气条件多变的海岛区域进行全天候、全时段的高精度观测已变得可行.作为多种遥感应用的关键前置步骤正射校正,依赖于高精度控制点来纠正SAR影像的几何定位误差.然而,在海岛区域获取符合SAR校正要求的人工控制点不仅成本高,且风险大.为了应对这一挑战,该文首先提出了一种光学与SAR异源影像的快速配准算法,然后基于光学参考底图自动提取控制点,实现了海岛区域SAR影像的正射校正.所提出的配准算法分为两个阶段:首先构建异源影像的共性密集特征,然后在降采样后的特征上进行逐像素匹配,避免了异源影像特征点重复性低的问题.为了降低匹配复杂度,引入了海陆分割掩模以限定搜索范围.接着,对初步匹配点进行局部精细匹配,以减少降采样带来的不准确性.同时,引入海岸线均匀采样点以提升匹配结果的均匀性,并通过分段线性变换模型生成正射影像,确保了稀疏岛屿区域的整体校正精度.该算法在多景海岛区域的高分辨率SAR影像上表现出色,平均定位误差为3.2 m,整景校正时间仅需17.3 s,均优于现有多种先进的异源配准与校正算法,显示出其在工程应用中的巨大潜力.
Orthorectification of High-resolution SAR Images in Island Regions Based on Fast Multimodal Registration
With the successive launch of high-resolution Synthetic Aperture Radar(SAR)satellites,conducting all-weather,all-time high-precision observation of island regions with variable weather conditions has become feasible.As a key preprocessing step in various remote sensing applications,orthorectification relies on high-precision control points to correct the geometric positioning errors of SAR images.However,obtaining artificial control points that meet SAR correction requirements in island areas is costly and risky.To address this challenge,this study first proposes a rapid registration algorithm for optical and SAR heterogeneous images,and then automatically extracts control points based on an optical reference base map,achieving orthorectification of SAR images in island regions.The proposed registration algorithm consists of two stages:constructing dense common features of heterogeneous images;performing pixel-by-pixel matching on the down-sampled features,to avoid the issue of low repeatability of feature points in heterogeneous images.To reduce the matching complexity,a land sea segmentation mask is introduced to limit the search range.Subsequently,local fine matching is applied to the preliminary matched points to reduce inaccuracies introduced by down-sampling.Meanwhile,uniformly sampled coastline points are introduced to enhance the uniformity of the matching results,and orthorectified images are generated through a piecewise linear transformation model,ensuring the overall correction accuracy in sparse island areas.This algorithm performs excellently on the high-resolution SAR images of multiple scenes in island regions,with an average positioning error of 3.2 m and a complete scene correction time of only 17.3 s,both these values are superior to various existing advanced heterogeneous registration and correction algorithms,demonstrating the great potential of the proposed algorithm in engineering applications.

Synthetic Aperture Radar(SAR)Remote sensing image registrationOrthorectificationOptical and SAR image registrationIslandCoastline shapefile

向俞明、滕飞、王林徽、焦念刚、王峰、尤红建

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中国科学院空天信息创新研究院 北京 100094

中国科学院空间信息处理与应用系统技术重点实验室 北京 100190

中国科学院大学电子电气和通信工程学院 北京 100049

合成孔径雷达 遥感影像配准 正射校正 光学SAR配准 海岛区域 海岸线矢量

2024

雷达学报
中国科学院电子学研究所 中国雷达行业协会

雷达学报

CSTPCD北大核心EI
影响因子:0.667
ISSN:2095-283X
年,卷(期):2024.13(4)