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Ratio-Detector-Based Feature Extraction for Very High Resolution SAR Image Patch Indexing

Cui , Shiyong and Dumitru, Corneliu Octavian and Datcu, Mihai (2013) Ratio-Detector-Based Feature Extraction for Very High Resolution SAR Image Patch Indexing. IEEE Geoscience and Remote Sensing Letters, 10 (5), pp. 1175-1179. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2012.2235406 ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6450044


With the advent of very high resolution (VHR) synthetic aperture radar (SAR) images, local content description is becoming a critical issue for indexing. Conventional SAR image analysis techniques, like segmentation and pixel-level classification, are likely to fail as high-level semantic description should be considered for better discrimination. Therefore, we propose to use image-patch-based analysis method for SAR image interpretation. Inspired by ratio edge detector, in this letter, a new feature extraction method represented by the mean ratios in different directions is proposed for VHR SAR image content characterization. Based on the mean ratio, two simple yet powerful and robust features are proposed for SAR image patch indexing. One is the bag-of-word model using not only the basic statistics, i.e., local mean and variance, but also the mean ratios in different directions. The second one is an adaptation of the Weber local descriptor to SAR images by substituting the gradient with the ratio of mean differences in vertical and horizontal directions. To evaluate the proposed features, image patch indexing based on active learning using a SAR image database consisting of high-resolution TerraSAR-X patches is performed. Comparison with the state-of-the-art features, particularly texture features, has shown improved performance for SAR image categorization.

Item URL in elib:https://elib.dlr.de/81350/
Document Type:Article
Title:Ratio-Detector-Based Feature Extraction for Very High Resolution SAR Image Patch Indexing
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dumitru, Corneliu OctavianIMFUNSPECIFIED
Date:September 2013
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2012.2235406
Page Range:pp. 1175-1179
Gamba, PaoloUniversity of Pavia; Italy
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Bag-of-words (BoW) , SAR image indexing , Weber local descriptor (WLD) , feature extraction , ratio detector , synthetic aperture radar (SAR)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cui, Shiyong
Deposited On:26 Feb 2013 07:39
Last Modified:31 Jul 2019 19:40

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