An Image Retrieval Method for Lunar Complex Craters Integrating Visual and Depth Features

Y Zhang, Z Kang, Z Cao - Electronics, 2024 - mdpi.com
In the geological research of the Moon and other celestial bodies, the identification and
analysis of impact craters are crucial for understanding the geological history of these …

AE-TransUNet+: An Enhanced Hybrid Transformer Network for Detection of Lunar South Small Craters in LRO NAC Images

Y Jia, Z Su, G Wan, L Liu, J Liu - IEEE Geoscience and Remote …, 2023 - ieeexplore.ieee.org
Impact craters are the most significant topographic features on the lunar surface. They are
also essential factors affecting the construction of lunar bases and activities on the lunar …

[HTML][HTML] L2AMF-Net: An L2-Normed Attention and Multi-Scale Fusion Network for Lunar Image Patch Matching

W Zhong, J Jiang, Y Ma - Remote Sensing, 2022 - mdpi.com
The terrain-relative navigation (TRN) method is often used in entry, descent and landing
(EDL) systems for position estimation and navigation of spacecraft. In contrast to the crater …

[HTML][HTML] An effective lunar crater recognition algorithm based on convolutional neural network

S Wang, Z Fan, Z Li, H Zhang, C Wei - Remote Sensing, 2020 - mdpi.com
The lunar crater recognition plays a key role in lunar exploration. Traditional crater
recognition methods are mainly based on the human observation that is usually combined …

[HTML][HTML] Coupling complementary strategy to u-net based convolution neural network for detecting lunar impact craters

Y Mao, R Yuan, W Li, Y Liu - Remote Sensing, 2022 - mdpi.com
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 …

[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 …

Moon impact crater detection using nested attention mechanism based UNet++

Y Jia, L Liu, C Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

[PDF][PDF] Synthesizing a massive training dataset based on real lunar data for image-based navigation and crater recognition

H Lee, D Jung, S Son, H Choi - Aerospace Europe CEAS …, 2017 - fzt.haw-hamburg.de
Image-based navigation is a key technology for landing on the Moon and other planetary
bodies. Image-based navigation requires real-time crater detection/recognition for position …

Automated detection of lunar craters using deep learning

Y Jia, G Wan, L Liu, Y Wu… - 2020 IEEE 9th Joint …, 2020 - ieeexplore.ieee.org
In view of the problems of traditional lunar crater detection algorithm (CDA) needs artificial
building crater, morphological characteristics, and the extraction precision is not high and …

A Deep Learning Approach for Lunar Impact Crater Detection Based on YOLO v7 and CBAM Attention Mechanism

J Zhu, J Liang, X Tian, P Yan - 2023 8th International …, 2023 - ieeexplore.ieee.org
Impact craters are the most common geomorphic unit on the lunar surface, and there are a
large number of impact craters of different sizes and morphologies on the lunar surface …