DocumentCode
575908
Title
Study and assessment of selected primitive features behaviour for SAR image description
Author
Dumitru, Corneliu Octavian ; Datcu, Mihai
Author_Institution
Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany
fYear
2012
fDate
22-27 July 2012
Firstpage
3596
Lastpage
3599
Abstract
The main purpose of this study is to define for Synthetic Aperture Radar (SAR) data the primitive feature parameters, the incidence angle, and the orbit direction which can be used further for indexing and querying in the EO systems. The evaluation is done on the high resolution SAR data and the interpretation is realized automatically. In this paper, we propose to study and asses the behavior of the primitive feature extracted methods for images of the same scene with two look angles covering the min-max range of the sensor and with ascending / descending orbit looking. The tests are done on TerraSAR-X products Stripmap and high resolution Spotlight, specially and radiometrically enhanced covering the area of Berlin (Germany) and Ottawa (Canada). To identify the optimal primitive features, incident angle, and orbit direction the Support Vector Machine and as a measure of the classification accuracy the precision/recall were considered.
Keywords
feature extraction; geophysical image processing; radar computing; radar imaging; support vector machines; synthetic aperture radar; Berlin; EO systems; Ottawa; SAR image description; Synthetic Aperture Radar data; TerraSAR-X products Stripmap; feature extraction; high resolution Spotlight; incidence angle; indexing; orbit direction; primitive feature parameters; querying; selected primitive feature behaviour; support vector machine; Buildings; Image resolution; Indexing; Measurement; Orbits; Satellites; Synthetic aperture radar; Sentinel-1; TerraSAR-X; incidence angle; orbit direction; primitive features;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350639
Filename
6350639
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