摘要
针对卫星轨道参数及传感器姿态角等信息缺乏且无控制点的近海域遥感影像定位难题,提出了基于海岸线状特征匹配的影像定位方法。首先,扩展应用Live-Wire算法,实现待定位影像的海岸线交互式提取;然后,设计一种改进的曲线形状签名和优化的部分匹配算法,实现海岸曲线匹配;最后,根据曲线匹配结果计算变换矩阵,实现近海域卫星遥感影像定位。利用Land Sat和SPOT影像的定位实验验证了该方法的有效性。
Aiming at the information lack of satellite orbit, sensors attitude and so on, an offshore area satellite remote sensing images location method based on coastline feature matching was presented. First, seacoast interactive extraction of images to be located was done by the extending application of Live-Wire algorithm. Then, the curve form ideograph was improved to adapt seacoast line feature, and an optimized cure matching algorithm based on the ideograph was designed to realize seacoast curve matching. Finally, offshore area location of satellite remote sensing images was implemented by computing transform matrix according to the matching results. Localization experiments using Land Sat and SPOT images indicated that the algorithm was efficient.
作者
朱宁龙
ZHU Ninglong(The 91404^th Unit of PLA, Qinhuangdao Hebei 066000, China)
出处
《海军航空工程学院学报》
2018年第2期187-193,共7页
Journal of Naval Aeronautical and Astronautical University
关键词
卫星遥感影像定位
海岸线状特征
曲线匹配
satellite remote sensing images location
coastline feature
curve matching
