Data Mining System for Planetary Images - Crater Detection and Categorization

Machine cataloging of impact craters on Mars

Stepinski, Tomasz F.
Mendenhall, Michael P.
Bue, Brian D.

September 2009

This study presents an automated system for cataloging impact craters using the MOLA 128 pixels/degr...

Machine cataloging of impact craters on Mars

Stepinski, Tomasz F.
Mendenhall, Michael P.
Bue, Brian D.

September 2009

This study presents an automated system for cataloging impact craters using the MOLA 128 pixels/degr...

Automated Crater Detection using Machine Learning

Cohen, Joseph Paul

May 2016

Craters are among the most studied geomorphic features in the Solar System because they yield import...

Y : Data Mining System for Planetary Images - Crater Detection and Categorization

Osamu Konishi
Ryushi Azuma
Hisashi Yokogawa
Syuta Yamanaka
Yuichi Iijima

January 2000

The surfaces of solid planets are covered with a tremendous number of craters of various shape and s...

Machine learning approaches to detecting impact craters in planetary images,” in Intelligent Data Analysis for Real-Life Applications: Theory and Practice

T. F. Stepinski
Wei Ding
R. Vilalta

January 2012

Craters are topographic features on planetary surfaces resulting from impacts of meteoroids. Craters...

Data Mining Methodology Development: Classification Case Study on Mars Craters Detection and Visualization Analysis Using Sammon\u27s Mapping

Wang, Jue

August 2010

Data Mining is a tool that extracts useful and novel patterns from great amounts of data. According ...

Mining of Topographic Feature from a Large-Scale Heterogeneous Planetary Imagery

January 2001

Proc. Int. Workshop on Mining Scientific Datasets in conjunction with ACM-SIGKDD Conf. Sanfrancisc

Novel approach of crater detection by crater candidate region selection and matrix-pattern-oriented least squares support vector machine

Ding, Meng
Cao, Yunfeng
Wu, Qingxian

April 2013

AbstractImpacted craters are commonly found on the surface of planets, satellites, asteroids and oth...

A deep learning approach to crater detection

Blumenkamp, Jan

June 2019

Detecting craters can be useful for a broad variety of tasks, such as monitoring the development of...

Mars Crater Database: A participative project for the classification of the morphological characteristics of large Martian craters

Lagain, Anthony
Bouley, Sylvain
Baratoux, David
Marmo, Chiara
Costard, François
Delaa, O.
Rossi, Angelo Pio
Minin, M.
Benedix, G. K.
Ciocco, M.
Bedos, B.
Guimpier, A.
Dehouck, E.
Loizeau, D.
Bouquety, A.
Zhao, J.
Vialatte, A.
Cormau, M.
Floris, E. Le Conte Des
Schmidt, F.
Thollot, P.
Champion, J.
Martinot, M.
Gargani, J.
Beck, P.
Boisson, J.
Paulien, N.
Séjourné, Antoine
Pasquon, K.
Christoff, N.
Belgacem, I.
Landais, F.
Rousseau, Batiste
Dupeyrat, L.
Franco, M.
Andrieu, F.
Cecconi, Baptiste
Erard, Stéphane
Jabaud, B.
Malarewicz, V.
Beggiato, G.
Janez, G.
Elbaz, L.
Ourliac, C.
Catheline, M.
Fries, M.
Karamoko, A.
Rodier, J.
Sarian, R.
Gillet, A.
Girard, S.
Pottier, M.
Strauss, S.
Chanon, C.
Lavaud, P.
Boutaric, A.
Savourat, M.
Garret, E.
Leroy, E.
Parquet, M.-C.
Parquet, L.
Delagoutte, M.-A.
Gamblin, O.

January 2021

International audienceABSTRACT. The most recent comprehensive database of Martian impact craters was...

Mars Crater Database: A participative project for the classification of the morphological characteristics of large Martian craters

Lagain, Anthony
Bouley, Sylvain
Baratoux, David
Marmo, Chiara
Costard, François
Delaa, O.
Rossi, Angelo Pio
Minin, M.
Benedix, G. K.
Ciocco, M.
Bedos, B.
Guimpier, A.
Dehouck, E.
Loizeau, D.
Bouquety, A.
Zhao, J.
Vialatte, A.
Cormau, M.
Floris, E. Le Conte Des
Schmidt, F.
Thollot, P.
Champion, J.
Martinot, M.
Gargani, J.
Beck, P.
Boisson, J.
Paulien, N.
Séjourné, Antoine
Pasquon, K.
Christoff, N.
Belgacem, I.
Landais, F.
Rousseau, Batiste
Dupeyrat, L.
Franco, M.
Andrieu, F.
Cecconi, Baptiste
Erard, Stéphane
Jabaud, B.
Malarewicz, V.
Beggiato, G.
Janez, G.
Elbaz, L.
Ourliac, C.
Catheline, M.
Fries, M.
Karamoko, A.
Rodier, J.
Sarian, R.
Gillet, A.
Girard, S.
Pottier, M.
Strauss, S.
Chanon, C.
Lavaud, P.
Boutaric, A.
Savourat, M.
Garret, E.
Leroy, E.
Parquet, M.-C.
Parquet, L.
Delagoutte, M.-A.
Gamblin, O.

January 2021

International audienceABSTRACT. The most recent comprehensive database of Martian impact craters was...

Mars Crater Database: A participative project for the classification of the morphological characteristics of large Martian craters

Lagain, Anthony
Bouley, Sylvain
Baratoux, David
Marmo, Chiara
Costard, François
Delaa, O.
Rossi, Angelo Pio
Minin, M.
Benedix, G. K.
Ciocco, M.
Bedos, B.
Guimpier, A.
Dehouck, E.
Loizeau, D.
Bouquety, A.
Zhao, J.
Vialatte, A.
Cormau, M.
Floris, E. Le Conte Des
Schmidt, F.
Thollot, P.
Champion, J.
Martinot, M.
Gargani, J.
Beck, P.
Boisson, J.
Paulien, N.
Séjourné, Antoine
Pasquon, K.
Christoff, N.
Belgacem, I.
Landais, F.
Rousseau, Batiste
Dupeyrat, L.
Franco, M.
Andrieu, F.
Cecconi, Baptiste
Erard, Stéphane
Jabaud, B.
Malarewicz, V.
Beggiato, G.
Janez, G.
Elbaz, L.
Ourliac, C.
Catheline, M.
Fries, M.
Karamoko, A.
Rodier, J.
Sarian, R.
Gillet, A.
Girard, S.
Pottier, M.
Strauss, S.
Chanon, C.
Lavaud, P.
Boutaric, A.
Savourat, M.
Garret, E.
Leroy, E.
Parquet, M.-C.
Parquet, L.
Delagoutte, M.-A.
Gamblin, O.

January 2021

International audienceABSTRACT. The most recent comprehensive database of Martian impact craters was...

Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis

Solarna, David
Moser, Gabriele
Le Moigne, Jacqueline
Serpico, Sebastiano B.

January 2017

Because of the large variety of sensors and spacecraft collecting data, planetary science needs to i...

Directional Statistics and Machine Learning for crater detection in Space

Palmirotta, Guendalina
Loizidou, Sophia
Nagarajan, Senthil Murugan

July 2023

Craters are distinctive features on the surfaces of most terrestrial planets such as Mars and Venus....

Automatic recognition of impact craters on the martian surface from DEM and images

Zhang T.
Jin S.

January 2015

Impact craters are the most outstanding and attractive geomorphological features on the surface of t...

Machine cataloging of impact craters on Mars

Stepinski, Tomasz F.
Mendenhall, Michael P.
Bue, Brian D.

September 2009

This study presents an automated system for cataloging impact craters using the MOLA 128 pixels/degr...

Machine cataloging of impact craters on Mars

Stepinski, Tomasz F.
Mendenhall, Michael P.
Bue, Brian D.

September 2009

This study presents an automated system for cataloging impact craters using the MOLA 128 pixels/degr...

Automated Crater Detection using Machine Learning

Cohen, Joseph Paul

May 2016

Craters are among the most studied geomorphic features in the Solar System because they yield import...

Y : Data Mining System for Planetary Images - Crater Detection and Categorization

Osamu Konishi
Ryushi Azuma
Hisashi Yokogawa
Syuta Yamanaka
Yuichi Iijima

January 2000

The surfaces of solid planets are covered with a tremendous number of craters of various shape and s...

Machine learning approaches to detecting impact craters in planetary images,” in Intelligent Data Analysis for Real-Life Applications: Theory and Practice

T. F. Stepinski
Wei Ding
R. Vilalta

January 2012

Craters are topographic features on planetary surfaces resulting from impacts of meteoroids. Craters...

Data Mining Methodology Development: Classification Case Study on Mars Craters Detection and Visualization Analysis Using Sammon\u27s Mapping

Wang, Jue

August 2010

Data Mining is a tool that extracts useful and novel patterns from great amounts of data. According ...

Mining of Topographic Feature from a Large-Scale Heterogeneous Planetary Imagery

January 2001

Proc. Int. Workshop on Mining Scientific Datasets in conjunction with ACM-SIGKDD Conf. Sanfrancisc

Novel approach of crater detection by crater candidate region selection and matrix-pattern-oriented least squares support vector machine

Ding, Meng
Cao, Yunfeng
Wu, Qingxian

April 2013

AbstractImpacted craters are commonly found on the surface of planets, satellites, asteroids and oth...

A deep learning approach to crater detection

Blumenkamp, Jan

June 2019

Detecting craters can be useful for a broad variety of tasks, such as monitoring the development of...

Mars Crater Database: A participative project for the classification of the morphological characteristics of large Martian craters

Lagain, Anthony
Bouley, Sylvain
Baratoux, David
Marmo, Chiara
Costard, François
Delaa, O.
Rossi, Angelo Pio
Minin, M.
Benedix, G. K.
Ciocco, M.
Bedos, B.
Guimpier, A.
Dehouck, E.
Loizeau, D.
Bouquety, A.
Zhao, J.
Vialatte, A.
Cormau, M.
Floris, E. Le Conte Des
Schmidt, F.
Thollot, P.
Champion, J.
Martinot, M.
Gargani, J.
Beck, P.
Boisson, J.
Paulien, N.
Séjourné, Antoine
Pasquon, K.
Christoff, N.
Belgacem, I.
Landais, F.
Rousseau, Batiste
Dupeyrat, L.
Franco, M.
Andrieu, F.
Cecconi, Baptiste
Erard, Stéphane
Jabaud, B.
Malarewicz, V.
Beggiato, G.
Janez, G.
Elbaz, L.
Ourliac, C.
Catheline, M.
Fries, M.
Karamoko, A.
Rodier, J.
Sarian, R.
Gillet, A.
Girard, S.
Pottier, M.
Strauss, S.
Chanon, C.
Lavaud, P.
Boutaric, A.
Savourat, M.
Garret, E.
Leroy, E.
Parquet, M.-C.
Parquet, L.
Delagoutte, M.-A.
Gamblin, O.

January 2021

International audienceABSTRACT. The most recent comprehensive database of Martian impact craters was...

Mars Crater Database: A participative project for the classification of the morphological characteristics of large Martian craters

Lagain, Anthony
Bouley, Sylvain
Baratoux, David
Marmo, Chiara
Costard, François
Delaa, O.
Rossi, Angelo Pio
Minin, M.
Benedix, G. K.
Ciocco, M.
Bedos, B.
Guimpier, A.
Dehouck, E.
Loizeau, D.
Bouquety, A.
Zhao, J.
Vialatte, A.
Cormau, M.
Floris, E. Le Conte Des
Schmidt, F.
Thollot, P.
Champion, J.
Martinot, M.
Gargani, J.
Beck, P.
Boisson, J.
Paulien, N.
Séjourné, Antoine
Pasquon, K.
Christoff, N.
Belgacem, I.
Landais, F.
Rousseau, Batiste
Dupeyrat, L.
Franco, M.
Andrieu, F.
Cecconi, Baptiste
Erard, Stéphane
Jabaud, B.
Malarewicz, V.
Beggiato, G.
Janez, G.
Elbaz, L.
Ourliac, C.
Catheline, M.
Fries, M.
Karamoko, A.
Rodier, J.
Sarian, R.
Gillet, A.
Girard, S.
Pottier, M.
Strauss, S.
Chanon, C.
Lavaud, P.
Boutaric, A.
Savourat, M.
Garret, E.
Leroy, E.
Parquet, M.-C.
Parquet, L.
Delagoutte, M.-A.
Gamblin, O.

January 2021

International audienceABSTRACT. The most recent comprehensive database of Martian impact craters was...

Mars Crater Database: A participative project for the classification of the morphological characteristics of large Martian craters

Lagain, Anthony
Bouley, Sylvain
Baratoux, David
Marmo, Chiara
Costard, François
Delaa, O.
Rossi, Angelo Pio
Minin, M.
Benedix, G. K.
Ciocco, M.
Bedos, B.
Guimpier, A.
Dehouck, E.
Loizeau, D.
Bouquety, A.
Zhao, J.
Vialatte, A.
Cormau, M.
Floris, E. Le Conte Des
Schmidt, F.
Thollot, P.
Champion, J.
Martinot, M.
Gargani, J.
Beck, P.
Boisson, J.
Paulien, N.
Séjourné, Antoine
Pasquon, K.
Christoff, N.
Belgacem, I.
Landais, F.
Rousseau, Batiste
Dupeyrat, L.
Franco, M.
Andrieu, F.
Cecconi, Baptiste
Erard, Stéphane
Jabaud, B.
Malarewicz, V.
Beggiato, G.
Janez, G.
Elbaz, L.
Ourliac, C.
Catheline, M.
Fries, M.
Karamoko, A.
Rodier, J.
Sarian, R.
Gillet, A.
Girard, S.
Pottier, M.
Strauss, S.
Chanon, C.
Lavaud, P.
Boutaric, A.
Savourat, M.
Garret, E.
Leroy, E.
Parquet, M.-C.
Parquet, L.
Delagoutte, M.-A.
Gamblin, O.

January 2021

International audienceABSTRACT. The most recent comprehensive database of Martian impact craters was...

Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis

Solarna, David
Moser, Gabriele
Le Moigne, Jacqueline
Serpico, Sebastiano B.

January 2017

Because of the large variety of sensors and spacecraft collecting data, planetary science needs to i...

Directional Statistics and Machine Learning for crater detection in Space

Palmirotta, Guendalina
Loizidou, Sophia
Nagarajan, Senthil Murugan

July 2023

Craters are distinctive features on the surfaces of most terrestrial planets such as Mars and Venus....

Automatic recognition of impact craters on the martian surface from DEM and images

Zhang T.
Jin S.

January 2015

Impact craters are the most outstanding and attractive geomorphological features on the surface of t...

Machine cataloging of impact craters on Mars

Stepinski, Tomasz F.
Mendenhall, Michael P.
Bue, Brian D.

September 2009

This study presents an automated system for cataloging impact craters using the MOLA 128 pixels/degr...

Machine cataloging of impact craters on Mars

Stepinski, Tomasz F.
Mendenhall, Michael P.
Bue, Brian D.

September 2009

This study presents an automated system for cataloging impact craters using the MOLA 128 pixels/degr...

Automated Crater Detection using Machine Learning

Cohen, Joseph Paul

May 2016

Craters are among the most studied geomorphic features in the Solar System because they yield import...

Data Mining System for Planetary Images - Crater Detection and Categorization

Abstract

Extracted data

Data Mining System for Planetary Images - Crater Detection and Categorization

Abstract

Extracted data

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