Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era
Abstract Convolutional Neural Networks (CNN) offer promising opportunities to
automatically glean scientifically relevant information directly from annotated images …
automatically glean scientifically relevant information directly from annotated images …
A Cartographic Perspective on the Planetary Geologic Mapping Investigation of Ceres
A Naß, S van Gasselt - Remote Sensing, 2023 - mdpi.com
The NASA Dawn spacecraft visited asteroid 4 Vesta between 2011 and 2012 and dwarf
planet 1 Ceres between 2015 and 2018 to investigate their surfaces through optical and …
planet 1 Ceres between 2015 and 2018 to investigate their surfaces through optical and …
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 …
such as accurate planetary surface age dating and geological mapping. Such recognition is …
A template‐matching approach combining morphometric variables for automated mapping of charcoal kiln sites
A Schneider, M Takla, A Nicolay… - Archaeological …, 2015 - Wiley Online Library
Analysing the spatial distribution of anthropogenic relief structures can contribute to the
understanding of past land‐use systems. With automated mapping routines, small relief …
understanding of past land‐use systems. With automated mapping routines, small relief …
YOLOLens: A deep learning model based on super-resolution to enhance the crater detection of the planetary surfaces
The impact crater detection offers a great scientific contribution in analyzing the geological
processes, morphologies and physical properties of the celestial bodies and plays a crucial …
processes, morphologies and physical properties of the celestial bodies and plays a crucial …
A machine learning approach to crater detection from topographic data
K Di, W Li, Z Yue, Y Sun, Y Liu - Advances in Space Research, 2014 - Elsevier
Craters are distinctive features on the surfaces of most terrestrial planets. Craters reveal the
relative ages of surface units and provide information on surface geology. Extracting craters …
relative ages of surface units and provide information on surface geology. Extracting craters …
Impact crater recognition on Mars based on a probability volume created by template matching
L Bandeira, J Saraiva, P Pina - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
This paper presents a methodology that brings together a number of techniques in the fields
of image processing and pattern recognition with the purpose of achieving the automated …
of image processing and pattern recognition with the purpose of achieving the automated …
Impact crater recognition methods: A review
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 …
celestial bodies. Impact is the most significant driving force in the evolution of celestial …
Crater detection by a boosting approach
R Martins, P Pina, JS Marques… - IEEE Geoscience and …, 2008 - ieeexplore.ieee.org
An approach to automatically detect impact craters on planetary surfaces is presented in this
letter. It is built up from a boosting algorithm proposed by Viola and Jones (2004) whose …
letter. It is built up from a boosting algorithm proposed by Viola and Jones (2004) whose …
Lunar crater detection based on terrain analysis and mathematical morphology methods using digital elevation models
Lunar impact craters are the most typical geomorphic feature on the moon and are of great
importance in studies of lunar terrain features. This paper presents a crater detection …
importance in studies of lunar terrain features. This paper presents a crater detection …