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Automated detection of block falls in the north polar region of Mars

Fanara, Lida and Gwinner, Klaus and Hauber, Ernst and Oberst, J. (2019) Automated detection of block falls in the north polar region of Mars. Planetary and Space Science. Elsevier. DOI: 10.1016/j.pss.2019.104733 ISSN 0032-0633

Full text not available from this repository.

Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0032063318304422?via%3Dihub

Abstract

We developed a change detection method for the identification of ice block falls using NASA’s HiRISE images of the north polar scarps on Mars. Our method is based on a Support Vector Machine (SVM), trained using Histograms of Oriented Gradients (HOG), and blob detection. The SVM detects potential new blocks between a set of images; the blob detection, then, confirms the identification of a block inside the area indicated by the SVM and derives the shape of the block. The results from the automatic analysis were compared with block statistics from visual inspection. We tested our method in 6 areas each consisting of 1000 × 1000 pixels, where several hundreds of blocks were identified. The results for the given test areas produced a true positive rate of ~75% for blocks with sizes larger than 0.5 m2 (i.e., approx. 3 times the available ground pixel size) and a false discovery rate of ~8.5%. Using blob detection, we were also able to recover the size of each block within 3 pixels of their actual size.

Item URL in elib:https://elib.dlr.de/131270/
Document Type:Article
Additional Information:bisher nur online erschienen
Title:Automated detection of block falls in the north polar region of Mars
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fanara, LidaLida.Fanara (at) dlr.deUNSPECIFIED
Gwinner, KlausKlaus.Gwinner (at) dlr.deUNSPECIFIED
Hauber, ErnstErnst.Hauber (at) dlr.dehttps://orcid.org/0000-0002-1375-304X
Oberst, J.Juergen.Oberst (at) dlr.deUNSPECIFIED
Date:2019
Journal or Publication Title:Planetary and Space Science
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1016/j.pss.2019.104733
Publisher:Elsevier
ISSN:0032-0633
Status:Published
Keywords:Change detection, Block falls, Machine learning, Blob detection, Mars
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Science and Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Erforschung des Weltraums
DLR - Research theme (Project):R - Projekt MARS-EXPRESS / HRSC
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Planetary Geodesy
Institute of Planetary Research > Planetary Geology
Deposited By: Scholten, Dipl.-Ing. Frank
Deposited On:28 Nov 2019 09:11
Last Modified:28 Nov 2019 09:11

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