Full-polarimetric SAR measurements for coastline extraction and coastal area classification

Ferrentino, Emanuele; Nunziata, Ferdinando; Migliaccio, Maurizio

doi:10.1080/01431161.2017.1376128

Cited by 37 publications

(18 citation statements)

References 22 publications

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“…In addition, it must be stressed that in case of long-term analysis of coastal erosion/accretion processes, the shift experienced by the shoreline extracted from SAR imagery represents a bias that may affect the whole time series in the same way, without affecting the analysis of global trends. Anyway, it was shown that the exploitation of quad-polarimetric information or the availability of finer resolution polarimetric SAR imagery can reduce this bias, although at the expense of area coverage and hardware complexity [48].…”

Section: Discussionmentioning

confidence: 99%

“…The above-mentioned methodology was tested on a large dataset that include C-and X-band coherent and incoherent dual-polarimetric SAR imagery collected under different conditions (AOI, coastal morphology, sea state, etc.) and validated against actual GPS measurements [5,48]. At C-band, over challenging scenarios (i.e., sandy beaches and low-backscattering sea surface areas), the adopted methodology was shown to be accurate (a mean ± standard deviation distance of 4.6 ± 3.3 pixels between the extracted shoreline and GPS measurements is achieved) and time-effective (a few seconds to process a whole SAR image) [5].…”

Section: Sar Observationsmentioning

confidence: 94%

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Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys

et al. 2019

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The objective of the present study is to achieve a better understanding of the possible rotation of embayed beaches using shoreline position data from two beaches on the central Tyrrhenian Sea (Italy) during a 64-year period. With this aim, this study tests the utility of Differential Global Positioning System (DGPS) and GPS RTK (Real Time Kinematic) dual-frequency navigation system for the in situ surveys, low-altitude aerial imagery collected by Unmanned Aerial Vehicle (UAV), and satellite polarimetric Synthetic Aperture Radar (SAR) measurements. The dataset consists of aerial photographs and orthophotos, DGPS, and remote surveys performed by UAV and SAR platform in 2018 along with wave data coming from the Ponza buoy. The results of the field data analysis explained a part of the beach variations in terms of coastline rotation around a virtual pivotal point. This rotation has been correlated with the wave directional shift in the recent period. The results of the comparison between the different techniques gave the possibility to investigate the limitations of remote survey methods for the identification of shoreline rotation.

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Section: Discussionmentioning

confidence: 99%

Section: Sar Observationsmentioning

confidence: 94%

Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys

et al. 2019

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“…On the contrary, the overall SAM value in CIE-Lab composition is better than the CIE-RGB compared to the Green-Blue and Red-Green-Blue scatter results. To exploit the potential of the proposed scheme, it is worth applying the scheme to land use/cover classifications from PolSAR imagery [24,25]. As a last example, we used L-band PiSAR data [26] acquired over a calibration site with various corner reflectors deployed at Tottori Dune, Japan on 4 October 2000.…”

Section: Application Examplesmentioning

confidence: 99%

Color Enhancement for Four-Component Decomposed Polarimetric SAR Image Based on a CIE-Lab Encoding

et al. 2018

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Color enhancement of decomposed fully polarimetric synthetic aperture radar (PolSAR) image is vital for visual understanding and interpretation of the polarimetric information about the target. It is common practice to use RGB or HIS color space to display the chromatic information for polarization-encoded, Pauli-basis images, or model-based target decomposition of PolSAR images. However, to represent the chroma for multi-polarization SAR data, the region of basic RGB color space does not fully cover the human perceptual system, leading to information loss. In this paper, we propose a color-encoding framework based on the CIE-Lab, a perceptually uniform color space, aiming at a better visual perception and information exploration. The effective interpretability in increasing chromatic, and thus visual enhancement, is presented using extensive datasets. In particular, the four decomposed components-volume scattering, surface scattering, double bounce, and helix scattering-along with total return power, are simultaneously mapped into the color space to improve the discernibility among the scattering components. The five channels derived from the four-component decomposition method can be simultaneously mapped to CIE-Lab color space intuitively. Results show that the proposed color enhancement not only preserves the color tone of the polarization signatures, but also magnifies the target information embedded in the total returned power.

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“…In [8], [9], the accuracy of the extracted coastline is discussed against the SAR frequency, showing that higher frequencies (C and X bands) perform best. The coastline extracted using multi-polarimetric SAR imagery is contrasted with ground-based information obtained using Global Positioning Sample (GPS) in [10], [11]. The extraction accuracy is lower than 4 pixels in [10] when X-band dualpolarimetric Ping Pong (HH+VV) COSMO-SkyMed SAR imagery collected in the muddy sand intertidal flat area of Lingang New City, China are used.…”

Section: Introductionmentioning

confidence: 99%

“…The average accuracy is up to 4.6 pixels in [12] when multi-polarization C-and X-band SAR imagery collected over Monasterace, Italy, are used. The accuracy is up to 4 pixels in [11] when full-polarimetric Cband RadarSAT-2 SAR imagery collected over sandy beaches in Italy are processed. All the above-mentioned studies rely on the use of SAR imagery where the speckle was filtered using conventional local approaches.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth

Ferrentino

Buono

Nunziata

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study deals with coastline extraction using multi-polarization spaceborne Synthetic Aperture Radar (SAR) imagery acquired over coastal intertidal areas. The latter are very challenging environments where mud flats lead to a large variability of normalized radar cross section (NRCS), which may trigger a significant number of false edges during the extraction process. The performance of SAR-based coastline extraction methods that rely on a joint combination of multi-polarization information (either single-or dual-polarization metrics) and speckle filtering (either local and non-local approaches) are analyzed using Global Pointing System (GPS) samples and collocated SAR imagery collected under different incidence angles. Our test site is an intertidal zone with a wetland (i. e., salt marsh) in the Solway Firth, southwest along the Scottish-English border. Experimental results, obtained processing a pair of RadarSAT-2 full-polarimetric and a pair of Sentinel-1 dual-polarimetric SAR imagery augmented by co-located GPS samples, show that: a) the multi-polarization information outperforms the singlepolarization counterpart in terms of extraction accuracy; b) among the single-polarization channels, the cross-polarized one performs best; c) both single-and dual-polarization methods perform better when non-local speckle filtering is applied; d) the joint combination of non-local speckle filter and dual-polarization information provides the best accuracy; e) the incidence angle plays a role in the extraction accuracy with larger incidence angles resulting in the best performance when dual-polarization metric is used.

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Full-polarimetric SAR measurements for coastline extraction and coastal area classification

Cited by 37 publications

References 22 publications

Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys

Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys

Color Enhancement for Four-Component Decomposed Polarimetric SAR Image Based on a CIE-Lab Encoding

On the Use of Multipolarization Satellite SAR Data for Coastline Extraction in Harsh Coastal Environments: The Case of Solway Firth

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