How many categories are in very high resolution SAR images?

Author

Dumitru, Corneliu Octavian ; Datcu, Mihai

Author_Institution

German Aerosp. Center (DLR), Remote Sensing Technol. Inst. (IMF), Wessling, Germany

fYear

2013

fDate

21-26 July 2013

Firstpage

4257

Lastpage

4260

Abstract

In this paper, we propose to identify the number of categories that can be retrieved from a very high resolution SAR data. The evaluation is done on TerraSAR-X high resolution Spotlight data and the retrieved categories are semi-automatically annotated using as feature vector the Gabor filters; as a classifier the Support Vector Machine, and for ranking the suggested images the relevance feedback. The visualization of the tool was enhanced compared with our previous implementation in order to support the users in his/her approach to search the patches of interest in a large repository. Our dataset consist in 43 scenes that cover as much as possible all the regions over the world. A total of 352 categories are identified that contain urban and non-urban categories.

Keywords

Gabor filters; geophysical image processing; image resolution; remote sensing by radar; semantic networks; support vector machines; synthetic aperture radar; Gabor filters; TerraSAR-X high resolution Spotlight data; feature vector; semantic annotation; support vector machine; very high resolution SAR images; Abstracts; Africa; Asia; Roads; Semantics; Taxonomy; Gabor filters; categories; high resolution TerraSAR-X; patch; semantic annotation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723774

Filename

6723774