A Performance Comparison of Rock Detection Algorithms for Autonomous Planetary Geology
Conference Paper, Proceedings of IEEE Aerospace Conference, March, 2007
Abstract
Detecting rocks in images is a valuable capability for autonomous planetary science. Rock detection facilitates selective data collection and return. It also assists with image analysis on Earth. This work reviews seven rock detection algorithms from the autonomous science literature. We evaluate each algorithm with respect to several autonomous geology applications. Tests show the algorithms' performance on Mars Exploration Rover imagery, terrestrial images from analog environments, and synthetic images from a Mars terrain simulator. This provides insight into the detectors' performance under different imaging conditions.
BibTeX
@conference{Thompson-2007-9665,author = {David R. Thompson and Rebecca Castano},
title = {A Performance Comparison of Rock Detection Algorithms for Autonomous Planetary Geology},
booktitle = {Proceedings of IEEE Aerospace Conference},
year = {2007},
month = {March},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.