Automated detection of craters on the lunar surface using deep learning: A review with insights from Chandrayaan-2 TMC-2 data
The Moon’s surface, marked by craters, serves as a crucial record of the Solar System's impact history, offering key insights into planetary formation and evolution. As missions like Chandrayaan-2 generate vast amounts of high-resolution lunar data, manual annotation of features such as craters...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Results in Earth Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211714825000366 |
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