Study of UAV Image Matching Based on SURF Algorithm and Homography Matrix

doi:10.13474/j.cnki.11-2246.2018.0206

Abstract

Abstract: For unmanned aerial vehicle (UAV) video shooting conditions,or by the regional complex environment caused by matching the effect not beautiful,local area can't even match,this article proposes an improved algorithm using multiple constraints of UAV image feature matching based on SURF algorithm.The matching algorithm firstly uses SURF algorithm to detect image feature points,uses FLANN fast search algorithm combined with the feature of KNN algorithm screening point to select the structure one interior point matrix of the optimal matching of,then uses RANSAC algorithm based on single matrix to filter mismatch.The experimental results show that with a single constraint conditions based on SURF algorithm compared to the UAV image matching,UAV image matching algorithm of multiple constraints in optimization matching quality at the same time can improve the UAV image matching set number,under the premise of the algorithm in matching error reduce can obtain more accurate feature points.

Key words: SURF algorithm, UAV image, homography matrix, epipolar constraint, feature matching

CLC Number:

P237

WANG Xiaohong, DENG Shixiong, HE Zhiwei, CAO Liuxia, YAN Xingguang. Study of UAV Image Matching Based on SURF Algorithm and Homography Matrix[J]. 测绘通报, 2018, 0(7): 38-42.

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