Deep learning based systems for crater detection: A review

A Tewari, K Prateek, A Singh, N Khanna - arXiv preprint arXiv:2310.07727, 2023 - arxiv.org
Craters are one of the most prominent features on planetary surfaces, used in applications
such as age estimation, hazard detection, and spacecraft navigation. Crater detection is a …

[HTML][HTML] Impact crater recognition methods: A review

D Chen, F Hu, L Zhang, Y Wu, J Du… - Science China Earth …, 2024 - Springer
Impact craters are formed due to the high-speed collisions between small to medium-sized
celestial bodies. Impact is the most significant driving force in the evolution of celestial …

[HTML][HTML] Lunar crater detection on digital elevation model: a complete workflow using deep learning and its application

X Lin, Z Zhu, X Yu, X Ji, T Luo, X Xi, M Zhu, Y Liang - Remote Sensing, 2022 - mdpi.com
Impact cratering process is the major geologic activity on the surface of the Moon, and the
spatial distribution and size-frequency distribution of lunar craters are indicative to the …

Automated crater detection from co-registered optical images, elevation maps and slope maps using deep learning

A Tewari, V Verma, P Srivastava, V Jain… - Planetary and Space …, 2022 - Elsevier
Craters are topographic structures resulting from impactors striking the surface of planetary
bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital …

[HTML][HTML] MC-UNet: Martian crater segmentation at semantic and instance levels using u-net-based convolutional neural network

D Chen, F Hu, PT Mathiopoulos, Z Zhang… - Remote Sensing, 2023 - mdpi.com
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 …

[HTML][HTML] A novel system for measuring pterygium's progress using deep learning

C Wan, Y Shao, C Wang, J Jing, W Yang - Frontiers in Medicine, 2022 - frontiersin.org
Pterygium is a common ocular surface disease. When pterygium significantly invades the
cornea, it limits eye movement and impairs vision, which requires surgery to remove. It is …

[HTML][HTML] Split-attention networks with self-calibrated convolution for moon impact crater detection from multi-source data

Y Jia, G Wan, L Liu, J Wang, Y Wu, N Xue, Y Wang… - Remote Sensing, 2021 - mdpi.com
Impact craters are the most prominent features on the surface of the Moon, Mars, and
Mercury. They play an essential role in constructing lunar bases, the dating of Mars and …

[HTML][HTML] A variable attention nested UNet++ network-based NDT X-ray image defect segmentation method

J Liu, JH Kim - Coatings, 2022 - mdpi.com
In this paper, we describe a new method for non-destructive testing (NDT) X-ray image
defect segmentation by introducing a variable attention nested UNet++ network. To further …

Energy-efficient craters detection based on spiking neural network using digital elevation models

K Zha, J Yuan, L Fan, X Liu, X Niu - Expert Systems with Applications, 2024 - Elsevier
Craters are the primary topographic features on celestial bodies and play a vital role in deep
space exploration missions. Recently, artificial neural networks (ANNs) have excelled in …

SqUNet: An High-performance Network for Crater Detection with DEM data

Y Zhao, H Ye - IEEE Journal of Selected Topics in Applied …, 2023 - ieeexplore.ieee.org
Identification of craters plays an essential role in planetary exploration. This article proposes
a new neural network, called Square U-Net (SqUNet) for automatic detection of craters using …