Open AccessRemote Sensing Image Registration Algorithm Based on Multi-scale Corner and Haar Transformation
Author(s) -
Yanli Yang,
Zhiguo Liu,
Jinsheng Zhang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/2/022165
Subject(s) - haar , translation (biology) , artificial intelligence , transformation (genetics) , corner detection , pyramid (geometry) , computer vision , computation , image registration , rotation (mathematics) , scale (ratio) , algorithm , computer science , haar wavelet , image (mathematics) , laplace transform , mathematics , geometry , wavelet , wavelet transform , geography , discrete wavelet transform , biochemistry , chemistry , cartography , messenger rna , gene , mathematical analysis
This paper proposed a new image registration algorithm based on multi-scale corner and Haar transformation, which its core idea is the combination of Haar operator and the Laplace image pyramid are used in down sampling the original images, and detect corner at the resulting images, Angle of the corner and most value point of scale response (scale precision positioning) will get, registrating images will obtained after rotation and translation. Theoretical analysis and simulation results shows the algorithm has higher registration accuracy and small amount of computation.