Coupling Complementary Strategy to U-Net Based Convolution Neural Network for Detecting Lunar Impact Craters

Coupling Complementary Strategy to U-Net Based Convolution Neural Network for Detecting Lunar Impact Craters

Lunar crater detection plays an important role in lunar exploration, while machine learning (ML) exhibits promising advantages in the field. However, previous ML works almost all used a single type of lunar map, such as an elevation map (DEM) or orthographic projection map (WAC), to extract crater f...

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Bibliographic Details
Main Authors: Yuqing Mao, Rongao Yuan, Wei Li, Yijing Liu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
convolutional neural network
deep learning
crater detection
moon
Online Access:https://www.mdpi.com/2072-4292/14/3/661

Internet

https://www.mdpi.com/2072-4292/14/3/661

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