MC-UNet: Martian Crater Segmentation at Semantic and Instance Levels Using U-Net-Based Convolutional Neural Network

MC-UNet: Martian Crater Segmentation at Semantic and Instance Levels Using U-Net-Based Convolutional Neural Network

Crater recognition on Mars is of paramount importance for many space science applications, such as accurate planetary surface age dating and geological mapping. Such recognition is achieved by means of various image-processing techniques employing traditional CNNs (convolutional neural networks), wh...

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Bibliographic Details
Main Authors: Dong Chen, Fan Hu, P. Takis Mathiopoulos, Zhenxin Zhang, Jiju Peethambaran
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
Martian craters
crater recognition
semantic segmentation
instance-level segmentation
U-Net
template matching
Online Access:https://www.mdpi.com/2072-4292/15/1/266

Internet

https://www.mdpi.com/2072-4292/15/1/266

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