Oyster reef signature in tidal flats detected by multi-frequency polarimetric SAR data

Choe, Byung-Hun; Kim, Duk‐jin; Hwang, Ji-Hwan; Oh, Yisok; Moon, Wooil M.

doi:10.1109/igarss.2011.6050052

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…Choe et al (2011) found similar results for mud and sand flats along the Korean peninsula with RADARSAT-2 and Advanced Land Observing Satellite (ALOS) data. The total power observed for these classes was lower than for classes with rougher surfaces, including Mixed Sediment.…”

Section: Freeman-durden Decompositionsupporting

confidence: 85%

“…Choe et al (2011) observed dominant surface scattering over mudflats, and volume scattering over oyster reefs; da Silva et al (2013) detected strong surface scattering from rocky outcrops, which represented relatively smooth surfaces, double bounce from laterite blocks, and volume scattering in regions characterized by rougher surfaces. The authors also interpreted low entropy values as the result of interactions with smoother rock surfaces, and found both entropy and alpha angle values were useful for identifying features in the region.…”

Section: Previous Applications Relevant To This Researchmentioning

confidence: 98%

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Characterizing Scattering Behaviour and Assessing Potential for Classification of Arctic Shore and Near-Shore Land Covers with Fine Quad-Pol RADARSAT-2 Data

Banks

King

Merzouki

et al. 2014

Canadian Journal of Remote Sensing

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Freeman-Durden and Cloude-Pottier decompositions were applied to polarimetric RADARSAT-2 data to characterize the scattering behaviour of shore and near-shore land cover types for two study areas in the Beaufort Sea, Canada: Richards Island and Tuktoyaktuk Harbour. The impact of incidence angle was evaluated through comparison of Single Look Complex Fine Quad-Pol images acquired at three angles: shallow (45.3 • -49.5 • ), medium (39.3 • -41.6 • ), and steep (20.9 • -24.2 • ), and the potential for accurate classification was assessed using three unsupervised polarimetric SAR classifiers: Wishart-entropy/alpha, Wishart-entropy/anisotropy/alpha, and Freeman-Wishart. Results indicate that overall, medium, and shallow incidence angle images provide more useful information than steep angle images and that these classifiers are capable of distinguishing some general land cover types, including substrates, wetlands, vegetated tundra, and water. Results from this analysis will inform future research related to classification and interpretation of RADARSAT-2 data for shoreline mapping. Résumé. Des décompositions Freeman-Durden etCloude-Pottier ontété appliquéesà des données polarimétriques RADARSAT-2 pour caractériser le comportement de diffusion des différents types de couverture terrestre des milieux littoraux et côtiers pour deux zones d'étude dans la mer de Beaufort, au Canada: l'île Richards et le port de Tuktoyaktuk. L'impact de l'angle d'incidence aétéévalué par comparaison des images singulières complexes <> quad-pol fines acquisesà trois angles; plus rasants (45.3 • -49.5 • ), moyens (39.3 • -41.6 • ) et abrupts (20.9 • -24.2 • ), tandis que le potentiel pour une classification précise aétéévaluéà l'aide de trois classificateurs RSO polarimétriques non dirigés: Wishart-entropie/alpha, Wishart-entropie/anisotropie/alpha et Freeman-Wishart.Les résultats indiquent que, dans l'ensemble, les images avec des angles d'incidence moyensà rasants fournissent des informations plus utiles que les images aux angles abrupts, et que ces classificateurs sont capables de distinguer certains types généraux de couverture terrestre, y compris: les substrats, les zones humides, la toundra végétalisée et l'eau. Les résultats de cette analyse seront utiles dans les recherches futures liéesà la classification età l'interprétation des données RADARSAT-2 pour la cartographie des rivages.

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Section: Freeman-durden Decompositionsupporting

confidence: 85%

Section: Previous Applications Relevant To This Researchmentioning

confidence: 98%

Characterizing Scattering Behaviour and Assessing Potential for Classification of Arctic Shore and Near-Shore Land Covers with Fine Quad-Pol RADARSAT-2 Data

Banks

King

Merzouki

et al. 2014

Canadian Journal of Remote Sensing

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“…It was found that bivalve beds and salt marshes have specific SAR signatures and can thus be monitored using space-borne SAR sensors [10][11][12][13]. Those bivalves are exposed above the sediments and form a rough reef or bed structure (with sharp and jagged surfaces) and increase the surface roughness locally, which causes stronger radar backscattering signals, making them visible in SAR imagery [11,14,15].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, surface roughness parameters retrieved from radar backscattering models can be used to distinguish bivalves from surrounding areas [10,16,17]. However, this approach may work only for a limited range of smooth bare soils, while mudflats with intense benthic fauna can be misinterpreted [13,14]. In addition, sandy sediments with sharp rims and rippled surfaces may also cause strong signals in SAR imagery, and hence SAR intensity channels cannot be simply used to get satisfactory classification accuracies.…”

Section: Introductionmentioning

confidence: 99%

Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators

2017

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Abstract:We propose new indicators for bivalve (oyster and mussel) beds on exposed intertidal flats, derived from dual-copolarization (HH + VV) TerraSAR-X, Radarsat-2, and ALOS-2 images of the German North Sea coast. Our analyses are based upon the Kennaugh element framework, and we show that different targets on exposed intertidal flats exhibit different radar backscattering characteristics, which manifest in different magnitudes of the Kennaugh elements. Namely, the inter-channel correlation's real (K 3 ) and imaginary (K 7 ) part can be used to distinguish bivalve beds from surrounding sandy sediments, and together with the polarimetric coefficient (i.e., the normalized differential polarization ratio, K 0 /K 4 ) they can be used as indicators for bivalve beds using multi-frequency dual-copolarization SAR data. Our results show that continuous bivalve bed monitoring is possible using dual-copolarimetric SAR acquisitions at all radar wavelengths.

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“…Based on a visual analysis of colour composites with double bounce as red, volume scattering as green, and odd bounce as blue [commonly used for visual interpretations Choe et al, 2011;Smith & Buckley, 2011)], there was better contrast between classes overall at shallow and medium angles. As was observed with backscatter coefficients however, steep angle imagery was preferred to discriminate some class pairs.…”

Section: Assessment O F Freeman-durden Decomposition Parameters Fo R mentioning

confidence: 99%

Assessing Radarsat-2 polarimetric SAR for mapping shoreline cleanup and assessment technique (SCAT) classes in the Canadian Arctic

Banks¹

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Oyster reef signature in tidal flats detected by multi-frequency polarimetric SAR data

Cited by 5 publications

References 3 publications

Characterizing Scattering Behaviour and Assessing Potential for Classification of Arctic Shore and Near-Shore Land Covers with Fine Quad-Pol RADARSAT-2 Data

Characterizing Scattering Behaviour and Assessing Potential for Classification of Arctic Shore and Near-Shore Land Covers with Fine Quad-Pol RADARSAT-2 Data

Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators

Assessing Radarsat-2 polarimetric SAR for mapping shoreline cleanup and assessment technique (SCAT) classes in the Canadian Arctic

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