Paper
2 March 2016 Automatic extraction of lunar impact craters from Chang’E images based on Hough transform and RANSAC
Author Affiliations +
Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99010I (2016) https://doi.org/10.1117/12.2234683
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
Abstract
This article proposed an algorithm combining Hough transform and RANSAC algorithm for automatic extraction of lunar craters. (1) In order to suppress noise, the images were filtered; (2) The edge of image were extracted, subsequently, eliminate false edge points by qualifying the gradient direction and the area of connected domain; (3) The edge images were segmented through Hough transform, gathering the same crater edge points together; (4) The edge images after segmentation were fitted using RANSAC algorithm, getting the high precision parameter. High precision of the algorithm was verified by the experiments of images acquired by the Chang’E-1 satellites.
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Zhongfei Luo and Zhizhong Kang "Automatic extraction of lunar impact craters from Chang’E images based on Hough transform and RANSAC", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010I (2 March 2016); https://doi.org/10.1117/12.2234683
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Hough transforms

Image filtering

Image processing algorithms and systems

Nonlinear filtering

Satellites

Data acquisition

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