The Research of Remote Sensing Image Matching Based on the Improved Harris Corner Detection Algorithm

2011 ◽  
Vol 271-273 ◽  
pp. 201-204
Author(s):  
Yu Liu ◽  
Hong Chen ◽  
Yong Sheng Guo ◽  
Wen Bang Sun ◽  
Yao Yu Zhang
Keyword(s):  
Remote Sensing ◽  
Image Matching ◽  
Remote Sensing Image ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Good Stability ◽  
Exact Match ◽  
Harris Corner ◽  
Harris Corner Detection ◽  
Detection Speed

According to the lack of Harris corner detection algorithm in corner detection, positioning, detection speed and anti-noise ,this paper improves Harris operator to make up for the bad stability of original operator, so as to realize accurate inspection, Strong anti-noise, fast, good stability and the exact match of image.

scholarly journals An Improved Corner Detection Algorithm Based on Harris

2012 ◽  
Vol 6-7 ◽  
pp. 717-721 ◽  
Author(s):  
Zhao Yang Zeng ◽  
Zhi Qiang Jiang ◽  
Qiang Chen ◽  
Pan Feng He
Keyword(s):  
Computation Time ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Test Results ◽  
Harris Corner ◽  
Texture Complexity ◽  
Harris Corner Detection ◽  
Better Than

In order to accurately extract corners from the image with high texture complexity, the paper analyzed the traditional corner detection algorithm based on gray value of image. Although Harris corner detection algorithm has higher accuracy, but there also exists the following problems: extracting false corners, the information of the corners is missing and computation time is a bit long. So an improved corner detection algorithm combined Harris with SUSAN corner detection algorithm is proposed, the new algorithm first use the Harris to detect corners of image, then use the SUSAN to eliminate the false corners. By comparing the test results show that the new algorithm to extract corners very effective, and better than the Harris algorithm in the performance of corner detection.

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