Crater Detection on Moon Surface
Arpita Baronia1, Jyoti Sarup2
1Arpita Baronia*,Remote Sensing, GIS and GPS center , MANIT, Bhopal, India.
2Dr. Jyoti Sarup, Civil Engineering Department, MANIT, Bhopal, India.
Manuscript received on November 13, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 1447-1451 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6187129219/2019©BEIESP | DOI: 10.35940/ijitee.B6187.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Moon is major object of research and crater is one element. Impact craters are initial feature in lunar and planetary science. Estimation of crater is major challenges. Lunar surface is very interesting part of study specially detection of crater and its age. So, exact detection of crater is necessary. For morphological analysis and detection of crater size distribution lunar craters is necessary. Detection of craters from visual analysis may be a tough task because it needs vast information regarding that particular area also it need skill and lots of manpower. Thus cheapest and Powerful automatic crater detection methodology is required. For better detection of crater here image based crater detection is proposed. In this, the crater will detected with different methodology like SVD, KNN and Hybrid method using CHANDRAYAAN-1 TMC image with the help of MATLAB.KNN found better than SVD and hybrid method takes advantages of both.
Keywords: Crater Detection, Crater Size Detection Euclidean Distance, Image Segmentation, SVD, Wavelet Transform,
Scope of the Article: Image Processing and Pattern Recognition