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A New Method of Mosaicking Context Camera (CTX) Images for the Geomorphological Study of Martian Landscape
Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India
Space Applications Centre, Indian Space Research Organization, Ahmedabad, India
Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India
Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India
- 1 Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India
- 2 Space Applications Centre, Indian Space Research Organization, Ahmedabad, India
- 3 Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India
- 4 Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India
Open Journal of Geology·Volume 11 (2021)·Pages 373–380·Published 5 August 2021·DOI10.4236/ojg.2021.118020
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Abstract
Various spacecraft and satellites from the world’s best space agencies are exploring Mars since 1970, constantly with great ability to capture the maximum amount of dataset for a better understanding of the red planet. In this paper, we propose a new method for making a mosaic of Mars Reconnaissance Orbiter (MRO) spacecraft payload Context Camera (CTX) images. In this procedure, we used ERDAS Imagine for image rectification and mosaicking as a tool for image processing, which is a new and unique method of generating a mosaic of thousands of CTX images to visualize the large-scale areas. The output product will be applicable for mapping of Martian geomorphological features, 2D mapping of the linear feature with high resolution, crater counting, and morphometric analysis to a certain extent.
KeywordsMosaickingERDAS ImagineContext Camera (CTX) ImagesMapping
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