An automatic tie point matching method for L0 level airborne three-line-array images
DU Shouji2, ZOU Zhengrong2, ZHANG Yunsheng1,2, ZHANG Minglei2
1. Hunan Provincial Key Laboratory of Hydropower Development Key Technology, Changsha 410014, China;
2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
To tackle the problem of the large quantities and serious deformation of L0 level airborne three-line-array images, this paper proposes a tie point matching method based on SIFT algorithm and correlation coefficient. Firstly, pyramid image is generated and SIFT algorithm is used to match initial corresponding points on the top-level of pyramid image. Then tie points are propagated through pyramid images via correlation coefficient matching method. Finally, possible match error is removed based on geometric constraint of POS data, and distribution of tie points are optimized. Three stripes of ADS40 images were used for experiments. Compared with the conventional image tie point transfer method, the proposed method can improve the ratio of correct matches by more than 6% and the tie points are well-distributed.
杜守基, 邹峥嵘, 张云生, 张明磊. L0级机载三线阵影像连接点自动提取[J]. 国土资源遥感, 2017, 29(1): 65-70.
DU Shouji, ZOU Zhengrong, ZHANG Yunsheng, ZHANG Minglei. An automatic tie point matching method for L0 level airborne three-line-array images. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 65-70.
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