On the use of complex sar image spectral analysis for target detection: assessment of polarimetry

Souyris, J.-C.; Henry, Christopher J.; Adragna, F.

doi:10.1109/tgrs.2003.817809

Cited by 110 publications

(71 citation statements)

References 15 publications

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“…Moreover, because of some physical factors, e.g., ship structure and radar incidence angle, some parts of a ship orthogonal to radar illumination may also have no helix scattering. It has been proved that it is beneficial to decrease the miss rate of small ships by increasing target-to-clutter ratio [14,[22][23][24][25]. The two-dimensional convolution function (2D-CF) is often applied to enhance feature and filter image in digital image processing field.…”

Section: Ship Detection Methodsmentioning

confidence: 99%

“…In order to detect small ships from sea clutter background, some classic detection methods utilize the coherence image derived from cross-correlation between two sub-look images of single polarization SAR image to increase TCR, such as two-looks internal Hermitian product (2L-IHP) [14], multi-look SAR images cross-correlation (MLCC) [15]. There exists a common characteristic that ships colocated in both sub-look images have strong correlation relative to the continuously changing sea clutter.…”

Section: Introductionmentioning

confidence: 99%

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On the Use of Cross-Correlation between Volume Scattering and Helix Scattering from Polarimetric SAR Data for the Improvement of Ship Detection

et al. 2016

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Synthetic Aperture Radar (SAR) ship detection is an important maritime application. However, azimuth ambiguities caused by the finite sampling of the Doppler spectrum are often visible in SAR images and are always mistaken as ships by classic detection techniques, like the Constant False Alarm Rate (CFAR). It is known that radar targets and azimuth ambiguities have different characteristics in polarimetric SAR (PolSAR) data, i.e., first ambiguities usually have strong odd-or double-bounce scattering and the maximum amplitude of the first ambiguity in S HV is always considerably smaller than that of the corresponding target for zero or high velocity. On the basis of this characteristics, this paper finds that first ambiguities usually have low volume scattering power relative to ships and almost have no helix scattering by Yamaguchi decomposition. But some residual ambiguities still exit in the volume scattering power and have similar scattering intensity to small ships, and some parts of a ship also have zero helix scattering owing to some physical factors (e.g., ship structure, radar incidence angle, etc.). Thus, for high-precision ship detection, a new ship detection method based on cross-correlation between the volume and helix scattering mechanisms derived from Yamaguchi decomposition is proposed to avoid false alarms caused by azimuth ambiguities and enhance Target-to-Clutter Ratio (TCR) for improving the miss detection rate of small ships. By experiments, it is proved that our method can work effectively and has high detection accuracy.

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Section: Ship Detection Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the Use of Cross-Correlation between Volume Scattering and Helix Scattering from Polarimetric SAR Data for the Improvement of Ship Detection

et al. 2016

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“…These operations can be efficiently done employing an FFT (fast Fourier transform) algorithm [32]. Furthermore, such approaches were revealed to be beneficial to detect point-like targets, that is coherent targets [6,33,34].…”

Section: Introductionmentioning

confidence: 99%

Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms

et al. 2015

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The surveillance of maritime areas with remote sensing is vital for security reasons, as well as for the protection of the environment. Satellite-borne synthetic aperture radar (SAR) offers large-scale surveillance, which is not reliant on solar illumination and is rather independent of weather conditions. The main feature of vessels in SAR images is a higher backscattering compared to the sea background. This peculiarity has led to the development of several ship detectors focused on identifying anomalies in the intensity of SAR images. More recently, different approaches relying on the information kept in the spectrum of a single-look complex (SLC) SAR image were proposed. This paper is focused on two main issues. Firstly, two recently developed sub-look detectors are applied for the first time to ship detection. Secondly, new and well-known ship detection algorithms are compared in order to understand which has the best performance under certain circumstances and if the sub-look analysis improves ship detection. The comparison is done on real SAR data exploiting diversity in frequency and polarization. Specifically, the employed data consist of six RADARSAT-2 fine quad-polacquisitions over the North Sea, five TerraSAR-X HH/VV dual-polarimetric data-takes, also over the North Sea, and one ALOS-PALSAR quad-polarimetric dataset over Tokyo Bay. Simultaneously to the Remote Sens. 2015, 7 5417 SAR images, validation data were collected, which include the automatic identification system (AIS) position of ships and wind speeds. The results of the analysis show that the performance of the different sub-look algorithms considered here is strongly dependent on polarization, frequency and resolution. Interestingly, these sub-look detectors are able to outperform the classical SAR intensity detector when the sea state is particularly high, leading to a strong clutter contribution. It was also observed that there are situations where the performance improvement thanks to the sub-look analysis is not so noticeable.

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“…Another type of target detection method relies on the information extracted by image decomposition or transform [13][14][15], rather than statistical distribution models. In the work of Souyris et al [13], a series of sublooks were generated from the single-look complex (SLC) image for inherent speckle effects analyses, and the internal Hermitian product (2L-IHP) was defined for target detection.…”

Section: Introductionmentioning

confidence: 99%

“…In the work of Souyris et al [13], a series of sublooks were generated from the single-look complex (SLC) image for inherent speckle effects analyses, and the internal Hermitian product (2L-IHP) was defined for target detection. In the approach proposed by Ouchi et al [14], the cross-correlation values between two images extracted by small sliding windows from the multilook SAR intensity (or amplitude) images were used for detecting ship targets.…”

Section: Introductionmentioning

confidence: 99%

Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision

et al. 2015

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The robust detection of ships is one of the key techniques in coastal and marine applications of synthetic aperture radar (SAR). Conventional SAR ship detectors involved multiple parameters, which need to be estimated or determined very carefully. In this paper, we propose a new ship detection approach based on multi-scale heterogeneities under the a contrario decision framework, with a few parameters that can be easily determined. First, multi-scale heterogeneity features are extracted and fused to build a heterogeneity map, in which ships are well highlighted from backgrounds. Second, a set of reference objects are automatically selected by analyzing the saliency of local regions in the heterogeneity map and then are used to construct a null hypothesis model for the final decision. Finally, the detection results are obtained by using an a contrario decision. Experimental results on real SAR images demonstrate that the proposed method not only works more stably for ships with different sizes, but also has better performance than conventional ship detectors.

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On the use of complex sar image spectral analysis for target detection: assessment of polarimetry

Cited by 110 publications

References 15 publications

On the Use of Cross-Correlation between Volume Scattering and Helix Scattering from Polarimetric SAR Data for the Improvement of Ship Detection

On the Use of Cross-Correlation between Volume Scattering and Helix Scattering from Polarimetric SAR Data for the Improvement of Ship Detection

Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms

Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision

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