An Image Retrieval Method for Lunar Complex Craters Integrating Visual and Depth Features

An Image Retrieval Method for Lunar Complex Craters Integrating Visual and Depth Features

In the geological research of the Moon and other celestial bodies, the identification and analysis of impact craters are crucial for understanding the geological history of these bodies. With the rapid increase in the volume of high-resolution imagery data returned from exploration missions, traditi...

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Bibliographic Details
Main Authors: Yingnan Zhang, Zhizhong Kang, Zhen Cao
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
LC<sup>2</sup>R-Net
CBAM
ECA
impact crater
image retrieval
deep learning
Online Access:https://www.mdpi.com/2079-9292/13/7/1262

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