Journal:Geomatics and Information Science of Wuhan University

Key Words:the theory of zero crossing; SlFT operator; feature extraction; remote sensing image matching, geometry feature

Abstract:An improved SIFT operator based on the theory of zero crossing is proposed forautomatic remote sensing image matching. Firstly, in the improved SIFT algorithm based onzero crossing theory, the array of scale space pyramid zero crossing point detection is constructed. Then the search window around the center pixel for the zero crossing point in theadjacent three layers from the array of scale space detection pyramids is established. lf theresult of zero crossing detection is greater than the detection threshold, the center pixewill be marked as a feature point. Feature extraction based on the theory of zero crossing in Gaussian scale space introduced the image geometry feature in scale space detection, resulting in higher repeatability and more stable characteristics. The experiments carried withclose range digital stereo image which has large rotation angle and low altitude aerial stereoimage showed significant increase in the aspects of feature repeatability rate, correct numberof corresponding points and matching correct rate with the improved SIFT operator appliedto automatic remote sensing matching image.

Co-author:Zuxun Zhang,Tao Ke

First Author:Xue Wan

Volume:28

Issue:3

Page Number:270-273

Translation or Not:no

Date of Publication:2013-03-01