Automated Rock Detection From Mars Rover Image via Y-Shaped Dual-Task Network With Depth-Aware Spatial Attention Mechanism
Author:
Affiliation:
1. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China
2. School of Geospatial Engineering and Science and the Key Laboratory of Comprehensive Observation of Polar Environment, Sun Yat-sen University, Zhuhai, China
Funder
National Natural Science Foundation of China
Open Fund of State Key Laboratory of Remote Sensing Science
Leading Talents of Guangdong Pearl River Talent Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10453623.pdf?arnumber=10453623
Reference84 articles.
1. Reconstructing the transport history of pebbles on Mars
2. Bold space mission to bring back rocks from Mars takes shape
3. The Mars 2020 Mission
4. The evolution of scientific goals for Mars exploration and future prospects
5. Rock modeling and matching for autonomous long-range Mars rover localization
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