[HTML][HTML] A flexible deep learning crater detection scheme using Segment Anything Model (SAM)
Craters are one of the most important morphological features in planetary exploration. To
that extent, detecting, mapping and counting craters is a mainstream process in planetary …
that extent, detecting, mapping and counting craters is a mainstream process in planetary …
Optical navigation for Lunar landing based on Convolutional Neural Network crater detector
Traditional vision-based navigation algorithms are highly affected from non-nominal
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …
Deep learning based systems for crater detection: A review
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 …
such as age estimation, hazard detection, and spacecraft navigation. Crater detection is a …
Knowledge-driven GeoAI: Integrating spatial knowledge into multi-scale deep learning for Mars Crater detection
This paper introduces a new GeoAI solution to support automated mapping of global craters
on the Mars surface. Traditional crater detection algorithms suffer from the limitation of …
on the Mars surface. Traditional crater detection algorithms suffer from the limitation of …
High-resolution feature pyramid network for automatic Crater detection on Mars
S Yang, Z Cai - IEEE Transactions on Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Crater detection is widely used in terrain relative navigation, which can help scientists target
a spacecraft's position and estimate the age of a planet. However, high-performance crater …
a spacecraft's position and estimate the age of a planet. However, high-performance crater …
Network architecture and action space analysis for deep reinforcement learning towards spacecraft autonomous guidance
L Capra, A Brandonisio, M Lavagna - Advances in Space Research, 2023 - Elsevier
The growing ferment towards enhanced autonomy on-board spacecrafts is driving the
research of leading space agencies. Concurrently, the rapid developments of Artificial …
research of leading space agencies. Concurrently, the rapid developments of Artificial …
Geotechnology in the Age of AI: The Convergence of Geotechnical Data Analytics and Machine Learning
B Satipaldy, T Marzhan, U Zhenis… - Fusion of …, 2021 - fusionproceedings.com
The integration of artificial intelligence (AI) technologies, particularly machine learning (ML),
with geotechnical engineering is transforming the landscape of infrastructure development …
with geotechnical engineering is transforming the landscape of infrastructure development …
Progressive domain adaptive network for crater detection
S Yang, Z Cai - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
Existing crater detection methods are typically carried out in the same domain where the
training and testing data are drawn from an identical distribution. However, this means that …
training and testing data are drawn from an identical distribution. However, this means that …
Automated crater detection from co-registered optical images, elevation maps and slope maps using deep learning
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 …
bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital …
Intelligent crater detection on planetary surface using convolutional neural network
Y Wu, G Wan, L Liu, Z Wei… - 2021 IEEE 5th Advanced …, 2021 - ieeexplore.ieee.org
Crater extraction and recognition is an important research content of deep space planetary
science. Traditional crater detection algorithms (CDAs) are mainly based on crater feature …
science. Traditional crater detection algorithms (CDAs) are mainly based on crater feature …