SqUNet: An High-Performance Network for Crater Detection With DEM Data-Reference-Cited by-同舟云学术

SqUNet: An High-Performance Network for Crater Detection With DEM Data

Published:2023 Issue: Volume:16 Page:8577-8585
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhao Yaqi¹^ORCID,Ye Hongxia¹^ORCID

Affiliation:

1. Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10246969.pdf?arnumber=10246969

Reference34 articles.

1. Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era

2. Lunar crater identification via deep learning

3. A new global database of Mars impact craters ≥1 km: 1. Database creation, properties, and parameters

4. Multiscale CNN Based on Component Analysis for SAR ATR

5. D-LinkNet: LinkNet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction;lichen;Proc IEEE/CVF Conf Comput Vis Pattern Recognit Workshops,2018

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