Vision‐based crater and rock detection using a cascade decision forest
Author:
Affiliation:
1. College of Electrical Engineering, Zhejiang UniversityHangzhouPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5600
Reference28 articles.
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2. LU60645GT and MA132843GT catalogues of Lunar and Martian impact craters developed using a Crater Shape-based interpolation crater detection algorithm for topography data
3. Novel approach of crater detection by crater candidate region selection and matrix-pattern-oriented least squares support vector machine
4. Crater Detection by a Boosting Approach
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