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SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients

Singh, Jagmal and Datcu, Mihai (2013) SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients. IEEE Transactions on Geoscience and Remote Sensing, 51 (12), pp. 5273-5282. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2012.2230892 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org

Abstract

With the advent of high-resolution (HR) synthetic aperture radar (SAR) images from satellites like TerraSAR-X and TanDEM-X, interest is now on patch-oriented image categorization in contrast to the pixel-based classification in low-resolution SAR images. SAR image categorization requires the generation of a compact feature descriptor that accurately defines the content of the image patch under consideration. As phase information plays a critical role in SAR images, this paper proposes the use of a chirplet-derived transform, i.e., the fractional Fourier transform (FrFT), for generating a compact feature descriptor for single-look complex (SLC) SAR images. Representing a SAR signal in rotated joint time–frequency planes via the FrFT allows discovering the underlying backscattering phenomenon of the objects on the ground. SAR image projections on different planes of the joint time-frequency space using the FrFT provide a simple statistical response that is easier to analyze. The proposed method has been compared with a multiscale approach, i.e., Gabor filter banks, a second-order-statistics-based method (as gray-level co-occurrence matrices), and a spectral descriptor method. We demonstrate the suitability of the FrFT-based method for image categorization on the basis of backscattering behavior, whereas the Gabor-filter-bank-based method is found mainly suitable for images with a strong texture. This paper demonstrates enhancement in the separability for most of the considered categories when using logarithmic cumulants instead of linear moments for both the FrFT-based and Gabor-filter-bank-based methods. The experimental database consists of 2000 image patches (of size 200 times 200 pixels) extracted from SLC HR TerraSAR-X scenes.

Item URL in elib:https://elib.dlr.de/83106/
Document Type:Article
Title:SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Singh, JagmalDLRUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Date:29 January 2013
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:51
DOI :10.1109/TGRS.2012.2230892
Page Range:pp. 5273-5282
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:SAR, image categorization, log cumulants, fractional Fourier transform
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: Schwarz, Gottfried
Deposited On:28 Jun 2013 11:57
Last Modified:08 Mar 2018 18:34

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