Moon Impact Crater Detection Using Nested Attention Mechanism Based UNet++

Moon Impact Crater Detection Using Nested Attention Mechanism Based UNet++

Impact craters are the most prominent topographic feature on the lunar surface, which will play a significant role in constructing lunar bases and lunar surface activities in the future. Traditional meteorite crater recognition methods are mainly based on artificial interpretation, usually combined...

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Bibliographic Details
Main Authors: Yutong Jia, Lei Liu, Chenyang Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Crater recognition
dense convolution block
deep supervision
nested attention-aware U-Net
template matching
Online Access:https://ieeexplore.ieee.org/document/9380415/

Internet

https://ieeexplore.ieee.org/document/9380415/

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