Polarimetric SAR Target Detection Using the Reflection Symmetry

Wang, Na; Shi, Gongtao; Liu, Li; Zhao, Lingjun; Kuang, Gangyao

doi:10.1109/lgrs.2012.2189548

Cited by 24 publications

(15 citation statements)

References 10 publications

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“…Ship detection and discrimination using Synthetic Aperture Radar (SAR) has been a topic of considerable interest in the recent years, and the increasing availability of multi-polarimetric high resolution SAR data has favored the emergence of new techniques for this application [1][2][3][4][5]. Classical approaches for discriminating ships from polarimetric SAR data (PolSAR) use polarimetric detectors, which are either based on specific polarimetric features, known to show a good contrast between ship and sea responses, or on fully polarimetric adaptive indicators of which the objective is to measure the discrepancy between the polarimetric response of a potential target and the one of its background, generally sampled in the surrounding area of the pixel under test.…”

Section: Introductionmentioning

confidence: 99%

Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis

Ferro-Famil

Kuang

2013

Remote Sensing

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This paper presents a new approach for the discrimination of ship responses using polarimetric SAR (PolSAR) data. The PolSAR multidimensional information is analyzed using a linear Time-Frequency (TF) decomposition approach, which permits to describe the polarimetric behavior of a ship and its background area for different azimuthal angles of observation and frequencies of illumination. This paper proposes to discriminate ships from their background by using characteristics of their polarimetric TF responses, which may be associated with the intrinsic nature of the observed natural or artificial scattering structures. A statistical descriptor related to polarimetric coherence of the signal in the TF domain is proposed for detecting ships in different complex backgrounds, including SAR azimuth ambiguities, artifacts, and small natural islands, which may induce numerous false alarms. Choices of the TF analysis direction, i.e., along separate azimuth or range axis, or simultaneously in both directions, are investigated and evaluated. TF decomposition modes including range direction perform better in terms of discriminating ships from range focusing artifacts. In comparison with original full-resolution polarimetric indicators, the proposed TF polarimetric coherence descriptor is shown to qualitatively enhance the ship/background contrast and improve discrimination capabilities. Using polarimetric RADARSAT-2 data acquired over complex scenes, experimental results demonstrate the efficiency of this approach in terms of ship location retrieval and response characterization.

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Section: Introductionmentioning

confidence: 99%

Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis

Ferro-Famil

Kuang

2013

Remote Sensing

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“…7 that, when P d is higher than about 83%, To verify the performance improvement of the new method for detection under low SCRs, synthetic images with different SCRs are generated. The new method (denoted by new) is compared with the span detector [1] (denoted by span), the PWF [2], the RS [3], and the PTD [4] via the area under the ROC curve (AUC). A higher AUC usually implies better performance.…”

Section: A Results On Synthetic Datamentioning

confidence: 99%

“…The existing PolSAR target detectors can be classified into two types. The first type totally or partially depends on the scattering intensity, such as the span detector [1], the classical polarimetric whitening filter (PWF) [2], and the recently proposed reflection-symmetry-based detector (RS) [3]. The other type does not depend on the intensity and makes use of the polarimetric scattering mechanism (SM) information.…”

Section: Introductionmentioning

confidence: 99%

PolSAR Ship Detection Based on Superpixel-Level Scattering Mechanism Distribution Features

Wang

Liu

2015

IEEE Geosci. Remote Sensing Lett.

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To improve the target detection performance under a low signal-to-clutter ratio, this letter presents a new polarimetric synthetic aperture radar (PolSAR) ship detector based on superpixel-level scattering mechanism (SM) distribution features. The proposed method is based on the observation that the SMs of targets and clutter have different distributions in the classical H/α plane. To make use of this difference in ship detection, multiscale superpixels are first generated for PolSAR images. Then, two features describing the SM distribution in the superpixel are proposed. Based on these features, a test statistic independent of the scattering intensity is finally defined. The performance improvement of the proposed method is verified using a synthetic data set and real PolSAR images obtained from a RADARSAT-2 data set.Index Terms-Polarimetric synthetic aperture radar (PolSAR), scattering mechanism (SM), ship detection, signal-to-clutter ratio (SCR), superpixel.

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“…With PolSAR data containing more available information, e.g., amplitude and relative phase, than single-polarization SAR data, the scattering behavior of the ship target and sea clutter can be analyzed in detail. The methods of the classical polarimetric whitening filter (PWF) [9], polarimetric cross-entropy (PCE) [10], reflection symmetry analysis (RS) [11] and polarimetric notch filter (PNF) [12] can effectively reveal the difference in scattering behavior between the ship target and sea clutter and are widely utilized to separate ship targets from the surrounding sea clutter.…”

Section: Introductionmentioning

confidence: 99%

Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data

Lang

Tao

et al. 2017

Remote Sensing

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Scattering mechanism (SM) analysis is a promising technique for ship detection and classification in polarimetric SAR (PolSAR) images. In this paper, a four-component model-based decomposition method incorporating surface, double-bounce, volume and cross-polarized components is proposed for analyzing the SMs of ships. A novel cross-polarized scattering component capable of discriminating between the HV scattering power generated by the oriented scatterers on ships from that by volume scatterers is proposed as a means to address the problem of volume scattering power overestimation. In the decomposition stage, by taking into account both the real and imaginary parts of the elements [T] HV (1, 3) and [T] HV (2, 3) of the observed coherency matrix, the proposed cross-polarized component can preserve the reflection asymmetry information completely, which is an essential property of man-made targets, such as ships. Based on the proposed decomposition method and an analysis of the different SMs between ships and sea clutter, a novel ship detection metric defined as M = lnis proposed. Experimental results conducted on RadarSat-2 quad-polarimetric data validate the proposed four-component decomposition method as being more suitable for analyzing the SMs of ship targets than the existing helix matrix-based decomposition methods. Additionally, we find that the proposed ship detection metric can effectively enhance the signal-to-clutter ratio (SCR) and improve ship detection performance.

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Polarimetric SAR Target Detection Using the Reflection Symmetry

Cited by 24 publications

References 10 publications

Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis

Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis

PolSAR Ship Detection Based on Superpixel-Level Scattering Mechanism Distribution Features

Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data

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