Pre-processing of Sentinel-1 C-band SAR images based on incidence angle correction for dark target detection

Gouveia, Nelson A.; Alves, Fábio Corrêa; Pereira, Luciana de Oliveira

doi:10.1080/2150704x.2019.1634300

Cited by 10 publications

(3 citation statements)

References 13 publications

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“…The two metrics are evaluated fixing the oil-covered ROI while moving the slick-free see surface ROI along the range transect to span the available range of incidence angles. As suggested in [48,50,51], for the incidence angles of interest (31 • -43 • ), the slick-free sea surface NRCS variability is expected to be large, i.e., about 10 dB, while the oil NRCS variability is expected to be much smaller. Hence, ∆ is expected to vary significantly with θ.…”

Section: Discussionmentioning

confidence: 92%

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A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images

et al. 2021

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Satellite synthetic aperture radar (SAR) is a unique tool to collect measurements over sea surface but the physical interpretation of such data is not always straightforward. Among the different sea targets of interest, low-backscattering areas are often associated to marine oil pollution even if several physical phenomena may also result in low-backscattering patches at sea. In this study, the effects of low-backscattering areas of anthropogenic and natural origin on the azimuth autocorrelation function (AACF) are analyzed using VV-polarized SAR measurements. Two objective metrics are introduced to quantify the deviation of the AACF evaluated over low-backscattering areas with reference to slick-free sea surface. Experiments, undertaken on six Sentinel-1 SAR scenes, collected in Interferometric Wide Swath VV+VH imaging mode over large low-backscattering areas of different origin under low-to-moderate wind conditions (speed ≤ 7 m/s), spanning a wide range of incidence angles (from about 30° up to 46°), demonstrated that the AACF evaluated within low-backscattering sea areas remarkably deviates from the slick-free sea surface one and the largest deviation is observed over oil slicks.

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Section: Discussionmentioning

confidence: 92%

“…To perform a more accurate analysis, the SNR is used. The latter is not evaluated using the provided (worst case) NESZ but is estimated from the data according to [48,49]:…”

Section: Experimental Settingsmentioning

confidence: 99%

A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images

et al. 2021

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“…The criterion of this subsection provides the mean value of a low energy zone of a SAR image. This value gives an insight into the average thermal noise level or equivalently to the Noise Equivalent Sigma Zero (N Eσ 0 ) [41], as in this area the presence of signals is very low. Let A a sub-image of the SAR image that has low intensity pixels, then we define the normalized average value over a low intensity area N 0 as…”

Section: Average Value Of Low-energy Pixels Of a Sar Imagementioning

confidence: 99%

A Cooperative SAR-Communication System Using Continuous Phase Modulation Codes and Mismatched Filters

Chatzitheodoridi¹,

Taylor²,

Rabaste³

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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The electromagnetic congestion due to the continuous growth of spectral demand has been skyrocketing for the past years. Joint radarcommunication systems are thus attracting attention as they can alleviate the spectrum occupancy by using the same bandwidth to perform both applications. In this context, a cooperative radar-communication system, which is a specific category that uses communication codes to both transmit information and perform radar missions, can be considered. Continuous phase modulated (CPM ) codes are considered in this article in order to generate high resolution radar images from an airborne radar. Since mitigating the sidelobe level energy is essential for good image quality, we resort here to optimized mismatched filters. A fast algorithm is proposed to minimize the computational time of these filters. Simulated data are generated, as well as re-synthesized SAR images, reconstructed from real chirp-based data, using CPM codes and mismatched filters. Their performance is evaluated using different comparison tools, and shows that the use of mismatched filtering and different messages embedded in the phase of each transmitted code, provides enhanced image quality.

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Pesticides bioassays using neotropical aquatic species: Trends during the last twenty years and future challenges in Argentina

Bertrand

Iturburu

2023

Chemosphere

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Pre-processing of Sentinel-1 C-band SAR images based on incidence angle correction for dark target detection

Cited by 10 publications

References 13 publications

A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images

A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images

A Cooperative SAR-Communication System Using Continuous Phase Modulation Codes and Mismatched Filters

Pesticides bioassays using neotropical aquatic species: Trends during the last twenty years and future challenges in Argentina

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