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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8183
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dc.contributor.authorRohil, Mukesh Kumar-
dc.date.accessioned2022-12-30T11:02:24Z-
dc.date.available2022-12-30T11:02:24Z-
dc.date.issued2021-03-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-981-16-1103-2_3-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8183-
dc.description.abstractMars is a dynamic and active planet in our solar system, which attracts humans due to different geological events continuously reshaping its surface. ISRO’s Mars Color Camera (MCC) onboard Mangalyaan spacecraft send more than thousand images of planet Mars at varying spatial resolution, which is of utmost importance for doing surface change detection over Mars. In this paper, we have described a methodology for automated change detection using MCC and Viking images having more than decade separation in image acquisition. The processing steps includes geometric transformation of Viking color image to the same size as MCC, image registration using SIFT based feature matching technique and automated change detection using multi-variate alteration detection (MAD). The workflow chain developed is tested in bi-temporal images from MCC and Viking having more than 20 years’ time span difference covering Esylum and Amentia quadrangles of Mars. The result shows the change detection map generated using MCC and Viking images, which focus the changing landscape of Mars due to wind streaks, dust deposits, landslides, lava flows and new impact craters formation.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectComputer Scienceen_US
dc.subjectChange detectionen_US
dc.subjectSIFTen_US
dc.subjectMADen_US
dc.subjectMCCen_US
dc.subjectMarsen_US
dc.titleMars Surface Multi-decadal Change Detection Using ISRO’s Mars Color Camera (MCC) and Viking Orbiter Imagesen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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