Multi spectral image matching algorithm of unmanned aerial vehicle based on affine invariant operator
The traditional unmanned aerial vehicle(UAV)multispectral image matching algorithm has some problems,such as low matching accuracy,low matching accuracy,and poor overall effect.In order to solve the problems in traditional methods,a UAV multispectral image matching algorithm based on affine invariant operator is proposed.Firstly,the UAV multispectral image is enhanced by histogram equalization method,and the affine invariant region of the UAV multispectral image is extracted by affine invariant operator;Secondly,corner detection and feature point extraction of UAV multispectral image are completed by multi-scale product LoG method;Finally,the shape description operator is used to describe the image feature points,and the Gaussian weighted distance algorithm is used to complete the final image matching.The experimental results show that the proposed method has higher accuracy,smaller error and better overall effect for UAV multispectral image matching.
affine invariant operatorunmanned aerial vehiclemulti spectral imageimage matchingfeature point extraction
万方数据
维普
