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Crater detection, classification and contextual information extraction in lunar images using a novel algorithm.
- Source :
-
ICARUS . Sep2013, Vol. 226 Issue 1, p798-815. 18p. - Publication Year :
- 2013
-
Abstract
- Highlights: [•] Crater detection algorithm to detect craters and extract their contextual information. [•] Round- and flat-floored simple lunar craters classified by their structural profile pattern. [•] Contextual information like ejecta identification and dull/degraded state of crater was detected. [•] Overall algorithm performance: Q ∼75%, precision ∼0.8, FPR∼0.2. [•] Round-floor craters in sub-km range with lesser depth forms major population on lunar surface. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00191035
- Volume :
- 226
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- ICARUS
- Publication Type :
- Academic Journal
- Accession number :
- 90067144
- Full Text :
- https://doi.org/10.1016/j.icarus.2013.06.028