DocumentCode
1430072
Title
Automated Detection of Martian Dune Fields
Author
Bandeira, Lourenço ; Marques, Jorge S. ; Saraiva, José ; Pina, Pedro
Author_Institution
Centre for Natural Resources & the Environ., Inst. Super. Tecnico, Lisbon, Portugal
Volume
8
Issue
4
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
626
Lastpage
630
Abstract
An approach for the automated detection of dune fields on remotely sensed images of the surface of Mars is presented in this letter. It is based on the extraction of local information from images (i.e., gradient features), which, in turn, is tested with boosting and support vector machine classifiers. A detection rate of about 95% is obtained for fivefold cross validation on a set of 78 panchromatic images captured by the Mars Orbiter Camera of the Mars Global Surveyor probe on different locations of the planet.
Keywords
Mars; astronomical image processing; planetary surfaces; Mars Global Surveyor probe; Mars Orbiter Camera; martian dune field detection; remotely sensed image; support vector machine classifier; Boosting; Feature extraction; Histograms; Mars; Pixel; Remote sensing; Support vector machines; Boosting; Mars; dunes; histogram of oriented gradient (HOG) features; support vector machine (SVM);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2010.2098390
Filename
5692810
Link To Document