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Developing an Automated Science Analysis System for Mars Surface Exploration for MSL and Beyond

V. C. Gulick, S. D. Hart, Xian Shi, Victoria Siegel

Year
2004
Citations
6

Abstract

We are developing an automated science analysis system that could be utilized by robotic or human explorers on Mars (or even in remote locations on Earth) to improve the quality and quantity of science data returned. Three components of this system (our rock, layer, and horizon detectors) [1] have been incorporated into the JPL CLARITY system for possible use by MSL and future Mars robotic missions. Two other components include a multi-spectral image compression (SPEC) algorithm for pancam-type images with multiple filters and image fusion algorithms that identify the in focus regions of individual images in an image focal series [2]. Recently, we have been working to combine image and spectral data, and other knowledge to identify both rocks and minerals. Here we present our progress on developing an igneous rock detection system.

Keywords

Mars Exploration ProgramRemote sensingImage fusionComputer scienceArtificial intelligenceExploration of MarsComputer visionImage (mathematics)GeologyAstrobiology

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