An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model

An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model

The study of secondary craters on the Moon is vital for understanding lunar impact dynamics and surface evolution. However, this task is complicated by sample imbalance, with primary crater samples outnumbering those of secondary craters, and by the reliance on time-intensive manual methods or limit...

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Bibliographic Details
Main Authors: Minghao Zhu, Jialong Lai, Xiaoping Zhang, Yi Xu, Weidong He
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
secondary craters
classification
variable extraction
Digital Elevation Model (DEM)
machine learning
variable analysis
Online Access:https://www.mdpi.com/2072-4292/17/7/1236
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