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, ril...

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Detalhes bibliográficos

Principais autores:	Mimansa Sinha, Sanchita Paul
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
coleção:	Results in Earth Sciences
Assuntos:	Deep Learning (DL) Machine Learning (ML) Convolutional Neural Networks (CNNs) Terrain Mapping Camera-2 (TMC-2) Digital Elevation Model (DEM)
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2211714825000366
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