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Craters are amongst the most important morphological features in planetary exploration.
Impact Cratering
H. J. Melosh · 1989
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Circularity of objects in images
M.J. Bottema · 2000
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Cratering chronology and the evolution of mars
G. Neukum W. K. Hartman · 2001
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Orcus patera, mars: Impact crater or volcanic caldera?
D.A. van der Kolk, K.L. Tribbett, E.B. Grosfils, S.E.H. Sakimoto, C.V. Mendelson, and J.E. Bleacher · 2001
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Learning to detect small impact craters
P. G. Wetzler, R. Honda, B. Enke, W. J. Merline, C. R. Chapman, and M. C. Burl · 2005
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Segmentation of multivariate mixed data via lossy data coding and compression
Yi Ma, Harm Derksen, Wei Hong, and John Wright · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2010
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Ma130301gt catalogue of martian impact craters and advanced evaluation of crater detection algorithms using diverse topography and image datasets
Goran Salamunićcar, Sven Lončarić, Pedro Pina, Lourenço Bandeira, and José Saraiva · 2011
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Computer vision algorithms and applications
Richard Szeliski · 2011
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Image segmentation based on histogram analysis utilizing the cloud model
Kun Qin, Kai Xu, Feilong Liu, and Deyi Li · 2011
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Lu60645gt and ma132843gt catalogues of lunar and martian impact craters developed using a crater shape-based interpolation crater detection algorithm for topography data
Goran Salamunićcar, Sven Lončarić, and Erwan Mazarico · 2012
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Learning hierarchical features for scene labeling
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2013
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Illumination conditions at the lunar south pole using high resolution digital terrain models from lola
P. Gläser, F. Scholten, D. De Rosa, R. Marco Figuera, J. Oberst, E. Mazarico, G.A. Neumann, and M.S. Robinson · 2014
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The variability of crater identification among expert and community crater analysts
Stuart J. Robbins, Irene Antonenko, Michelle R. Kirchoff, Clark R. Chapman, Caleb I. Fassett, Robert R. Herrick, Kelsi Singer, Michael Zanetti, Cory Lehan, Di Huang, and Pamela L. Gay · 2014
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A machine learning approach to crater detection from topographic data
Kaichang Di, Wei Li, Zongyu Yue, Yiwei Sun, and Yiliang Liu · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Automatic crater detection using convex grouping and convolutional neural networks
Ebrahim Emami, George Bebis, Ara Nefian, and Terry Fong · 2015
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Image segmentation using k -means clustering algorithm and subtractive clustering algorithm
Nameirakpam Dhanachandra, Khumanthem Manglem, and Yambem Jina Chanu · 2015
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Learning deconvolution network for semantic segmentation
Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han · 2015
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Geological characteristics of von kármán crater, northwestern south pole-aitken basin: Chang’e-4 landing site region
Jun Huang, Zhiyong Xiao, Jessica Flahaut, Mélissa Martinot, James Head, Xiao Xiao, Minggang Xie, and Long Xiao · 2018
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The science process for selecting the landing site for the 2020 mars rover
John A. Grant, Matthew P. Golombek, Sharon A. Wilson, Kenneth A. Farley, Ken H. Williford, and Al Chen · 2018
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Lunar crater identification via deep learning
Ari Silburt, Mohamad Ali-Dib, Chenchong Zhu, Alan Jackson, Diana Valencia, Yevgeni Kissin, Daniel Tamayo, and Kristen Menou · 2018
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9th planetary crater consortium
P. G. Wetzler, R. Honda, B. Enke, W. J. Merline, C. R. Chapman, and M. C. Burl · 2018
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Bathymetric inversion and uncertainty estimation from synthetic surf-zone imagery with machine learning
Adam M. Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, and Joseph W. Long · 2020
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Binarized encoder-decoder network and binarized deconvolution engine for semantic segmentation
Hyunwoo Kim, Jeonghoon Kim, Jungwook Choi, Jungkeol Lee, and Yong Ho Song · 2021
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Deep learning-based aerial image segmentation with open data for disaster impact assessment
Ananya Gupta, Simon Watson, and Hujun Yin · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Multi-type microbial relation extraction by transfer learning
Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, and Xingpeng Jiang · 2021
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2018
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Dense deconvolutional network for semantic segmentation
Wenbin Yang, Quan Zhou, Jingnan Lu, Xiaofu Wu, Suofei Zhang, and Longin Jan Latecki · 2018
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Road extraction by deep residual u-net
Zhengxin Zhang, Qingjie Liu, and Yunhong Wang · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Deep-learning seismic facies on state-of-the-art CNN architectures
Jesper S. Dramsch and Mikael Lüthje · 2018
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Planetary Geoscience
H.Y. McSween, J.E. Moersch, D.M. Burr, W.M. Dunne, J.P. Emery, L.C. Kah, and M.C. McCanta · 2019
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The compositions of the lunar crust and upper mantle: Spectral analysis of the inner rings of lunar impact basins
Myriam Lemelin, Paul G. Lucey, Katarina Miljković, Lisa R. Gaddis, Trent Hare, and Makiko Ohtake · 2019
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Basic study for transfer learning for autonomous driving in car race of model car
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Trcla: A transfer learning approach to reduce negative transfer for cellular learning automata
Seyyed Amir Hadi Minoofam, Azam Bastanfard, and Mohammad Reza Keyvanpour · 2021
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Optical navigation for lunar landing based on convolutional neural network crater detector
Stefano Silvestrini, Margherita Piccinin, Giovanni Zanotti, Andrea Brandonisio, Ilaria Bloise, Lorenzo Feruglio, Paolo Lunghi, Michèle Lavagna, and Mattia Varile · 2022
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A reproducible and reusable pipeline for segmentation of geoscientific imagery
D. Buscombe and E. B. Goldstein · 2022
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Mars terrain segmentation with less labels
Edwin Goh, Jingdao Chen, and Brian Wilson · 2022
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Reviving iterative training with mask guidance for interactive segmentation
Konstantin Sofiiuk, Ilya A. Petrov, and Anton Konushin · 2022
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Simpleclick: Interactive image segmentation with simple vision transformers
Qin Liu, Zhenlin Xu, Gedas Bertasius, and Marc Niethammer · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Deep learning–based nondestructive evaluation of reinforcement bars using ground-penetrating radar and electromagnetic induction data
Xiaofeng Li, Hai Liu, Feng Zhou, Zhongchang Chen, Iraklis Giannakis, and Evert Slob · 2022
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Classification of knee osteoarthritis based on transfer learning model and magnetic resonance images
Xin Wang, Shuang Liu, and Changcai Zhou · 2022
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Mrisnet: Deep-learning-based martian instance segmentation against blur
M. Liu, J. Liu, and X. Ma · 2023
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A hybrid attention semantic segmentation network for unstructured terrain on mars
Haiqiang Liu, Meibao Yao, Xueming Xiao, and Hutao Cui · 2023
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