A Multi-sensor Remote Sensing Image Automatic Matching Method Based on Topological Information and SIFT Features

doi:10.13474/j.cnki.11-2246.2017.0327

Abstract

Abstract: Based on the question of matching method of single feature matching in multi-source remote sensing images are often not ideal, a matching method for combination of topology information and SIFT automatic feature of multi-source remote sensing image is proposed in this paper. The method first in two images using the SIFT algorithm in scale space to extract feature vectors, then these feature points using the nearest neighbor the extraction of 1:N multiple possible matching points. Secondly, the matching points are eliminated by the combination of location information and topological information, and the double edge matching strategy and the RANSAC method are used to eliminate the coarse tea. The experimental results show that compared with the SIFT algorithm commonly used in the field of computer vision, the proposed method can effectively improve the matching accuracy and obtain more correct points of the same name.

Key words: multi-sensor image registration, topological information, SIFT

CLC Number:

DU Chunpeng, LI Jingshan. A Multi-sensor Remote Sensing Image Automatic Matching Method Based on Topological Information and SIFT Features[J]. 测绘通报, 2017, 0(10): 115-119.

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