Neural Network Approach to Crater Detection for Lunar Terrain Relative Navigation
Author:
Affiliation:
1. Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
2. Draper, Cambridge, Massachusetts 02139
Funder
Charles Stark Draper Laboratory
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering
Reference22 articles.
1. Guidance Summary and Assessment of the Chang’e-3 Powered Descent and Landing
2. A performance evaluation of local descriptors
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4. ELCD: Efficient Lunar Crater Detection Based on Attention Mechanisms and Multiscale Feature Fusion Networks from Digital Elevation Models;Remote Sensing;2022-10-19
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