Crater detection in multi-ring basins of mercury

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorCERENA-IST, University of Lisbon
dc.date.accessioned2018-12-11T16:38:50Z
dc.date.available2018-12-11T16:38:50Z
dc.date.created2018-12-11T16:38:50Z
dc.date.issued2015-01-01
dc.identifierLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9117, p. 522-529.
dc.identifier1611-3349
dc.identifier0302-9743
dc.identifierhttp://hdl.handle.net/11449/167913
dc.identifier10.1007/978-3-319-19390-8_59
dc.identifier2-s2.0-84937468607
dc.description.abstractThis paper presents the automated detection of impact craters on large regions of Mercury. The processing sequence is composed by three main phases: the first consists on creating the image mosaics of the large areas of interest, the second by finding crater candidates on these mosaics, and finally by extracting a set of features that are used in the classification by SVM-Support Vector Machine in the third phase. The detections are performed on images acquired by the MDIS-NAC camera of MESSENGER probe covering three large basins on Mercury (Rachmaninoff, Mozart and Raditladi).
dc.languageeng
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation0,295
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectAutomatic detection
dc.subjectImage processing
dc.subjectMercury
dc.subjectPattern recognition
dc.titleCrater detection in multi-ring basins of mercury
dc.typeActas de congresos


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