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Denoising Sentinel-1 extra-wide mode cross-polarization images over sea ice / Yan Sun in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 3 (March 2021)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > Vol 59 n° 3 (March 2021) . - pp 2116 - 2131 Titre : Denoising Sentinel-1 extra-wide mode cross-polarization images over sea ice Type de document : Article/Communication Auteurs : Yan Sun, Auteur ; Xiao-Ming Li, Auteur Année de publication : 2021 Article en page(s) : pp 2116 - 2131 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] Austral (océan) [Termes IGN] bruit thermique [Termes IGN] étalonnage radiométrique [Termes IGN] filtrage du bruit [Termes IGN] glace de mer [Termes IGN] image Sentinel-SAR [Termes IGN] image TOPSAR [Termes IGN] polarisation croisée [Termes IGN] rapport signal sur bruit Résumé : (Auteur) Sentinel-1 (S1) extra-wide (EW) swath data in cross-polarization (horizontal–vertical, HV or vertical–horizontal, VH) are strongly affected by the scalloping effect and thermal noise, particularly over areas with weak backscattered signals, such as sea surfaces. Although noise vectors in both the azimuth and range directions are provided in the standard S1 EW data for subtraction, the residual thermal noise still significantly affects sea ice detection by the EW data. In this article, we improve the denoising method developed in previous studies to remove the additive noise for the S1 EW data in cross-polarization. Furthermore, we propose a new method for eliminating the residual noise (i.e., multiplicative noise) at the subswath boundaries of the EW data, which cannot be well processed by simply subtracting the reconstructed 2-D noise field. The proposed method of removing both the additive and multiplicative noise was applied to EW HV-polarized images processed using different Instrument Processing Facility (IPF) versions. The results suggest that the proposed algorithm significantly improves the quality of EW HV-polarized images under various sea ice conditions and sea states in the marginal ice zone (MIZ) of the Arctic. This is of great support for the utilization of cross-polarization synthetic aperture radar (SAR) images in wide swaths for intensive sea ice monitoring in polar regions. Numéro de notice : A2021-214 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.3005831 Date de publication en ligne : 09/07/2020 En ligne : https://doi.org/10.1109/TGRS.2020.3005831 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97202 [article]

Polarization orientation angle and polarimetric SAR scattering characteristics of steep terrain / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 56 n° 12 (December 2018)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 56 n° 12 (December 2018) . - pp 7272 - 7281 Titre : Polarization orientation angle and polarimetric SAR scattering characteristics of steep terrain Type de document : Article/Communication Auteurs : Jong-Sen Lee, Auteur ; Thomas L. Ainsworth, Auteur ; Yanting Wang, Auteur Année de publication : 2018 Article en page(s) : pp 7272 - 7281 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] angle de visée [Termes IGN] bande C [Termes IGN] bande L [Termes IGN] constante diélectrique [Termes IGN] données polarimétriques [Termes IGN] escarpement [Termes IGN] humidité du sol [Termes IGN] image radar moirée [Termes IGN] image TOPSAR [Termes IGN] modèle de diffusion du rayonnement [Termes IGN] montagne [Termes IGN] pente [Termes IGN] polarimétrie radar [Termes IGN] polarisation croisée [Termes IGN] réflectance spectrale [Termes IGN] rétrodiffusion de Bragg [Termes IGN] teneur en eau de la végétation Résumé : (auteur) Polarization orientation angle (POA) is an important parameter of polarimetric radar scattering from slopes in mountainous region. It is known that surface tilted in azimuth direction and buildings not aligned in the along-track direction induce polarization orientation shifts. Earlier research has established orientation angle as a function of radar imaging geometry and surface slopes, and that POA estimation can be derived from polarimetric radar data using circular polarization. Besides these, polarimetric scattering from steep slopes and its relation to POA remain not well understood. In this paper, we address these issues by adopting a tilted surface model based on Bragg scattering. We have found that, as the azimuthal slope increases, |VV| decreases at a faster rate than |HH|, they become equal, when POA is ±45°, and |HH| > |VV| afterward. In other words, the Pauli component, |HH-VV| reduced to zero at POA = ± 45°, and the typical Bragg scattering characteristics of |VV| > |HH| does not apply when steep slope is present inducing |POA| > 45°. Furthermore, the cross-pol |HV| does not always increase with azimuth slope but also reaches a maximum then decreases to zero. In addition, we investigate the effect of soil moisture on polarimetric SAR (PolSAR) scattering characteristics of steep terrain and the effect of vegetation over surface on POA estimation. The latter is demonstrated with NASA/JPL TOPSAR L-band PolSAR data and C-band InSAR data. Another significance of this paper is that it provides a direct and rigorous derivation of POA equations. The earlier version was derived from a different concept. Numéro de notice : A2018-557 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2849931 Date de publication en ligne : 01/08/2018 En ligne : http://dx.doi.org/10.1109/TGRS.2018.2849931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91662 [article]

Sentinel-1 interferometric SAR mapping of precipitable water vapor over a country-spanning area / Pedro Mateus in IEEE Transactions on geoscience and remote sensing, vol 55 n° 5 (May 2017)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 55 n° 5 (May 2017) . - pp 2993 - 2999 Titre : Sentinel-1 interferometric SAR mapping of precipitable water vapor over a country-spanning area Type de document : Article/Communication Auteurs : Pedro Mateus, Auteur ; João Catalão, Auteur Année de publication : 2017 Article en page(s) : pp 2993 - 2999 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] image Sentinel-SAR [Termes IGN] image TOPSAR [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] Sentinel-1 [Termes IGN] vapeur d'eau Résumé : (Auteur) This paper presents a methodology to generate maps of atmosphere's precipitable water vapor (PWV) over large areas with a length of hundreds of kilometers and a width of about 250 km, based on the use of interferometric Sentinel-1A/B C-band synthetic aperture radar (SAR) data with a high spatial resolution of 5 × 20 m2 and the revisiting time of six days. An algorithm to calibrate and merge PWV maps from different swaths of Sentinel-1 acquired along the same track, using global navigation satellite system (GNSS) measurements, is described. The proposed methodology is tested on Sentinel-1A SAR images acquired over the Iberian Peninsula, along both descending and ascending tracks. The assessment with an independent set of GNSS measurements shows a mean difference of a fraction of millimeter and a dispersion lower than 2 mm. Both the use of Sentinel-1A/B SAR images and the proposed methodology open new perspectives on the application of SAR meteorology for the high-resolution mapping of PWV over large region-spanning areas and the assimilation of interferometric SAR data into numerical weather models. Numéro de notice : A2017-472 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2658342 En ligne : https://doi.org/10.1109/TGRS.2017.2658342 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86395 [article]

On merging high- and low-resolution DEMs from TOPSAR and SRTM using a prediction-error filter / S. Yun in IEEE Transactions on geoscience and remote sensing, vol 43 n° 7 (July 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 7 (July 2005) . - pp 1682 - 1693 Titre : On merging high- and low-resolution DEMs from TOPSAR and SRTM using a prediction-error filter Type de document : Article/Communication Auteurs : S. Yun, Auteur ; J. Ji, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1682 - 1693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] artefact [Termes IGN] erreur de classification [Termes IGN] fusion d'images [Termes IGN] image à haute résolution [Termes IGN] image radar [Termes IGN] image TOPSAR [Termes IGN] interpolation [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface Résumé : (Auteur) High-resolution digital elevation models (DEMs) are often limited in spatial coverage; they also may possess systematic artifacts when compared to comprehensive low-resolution maps. Here we correct artifacts and interpolate regions of missing data in airborne Topographic Synthetic Aperture Radar (TOPSAR) DEMs using a low-resolution Shuttle Radar Topography Mission (SRTM) DEM. We use a prediction error (PE) filter to interpolate and fill missing data so that the interpolated regions have the same spectral content as the valid regions of the TOPSAR DEM. The SRTM DEM is used as an additional constraint in the interpolation. We use cross-validation methods to obtain the optimal weighting for the PE filter and SRTM DEM constraints. Numéro de notice : A2005-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.848415 En ligne : https://doi.org/10.1109/TGRS.2005.848415 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27444 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features / C.M. Chen in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 58 n° 1-2 (June - December 2003) . - pp 19 - 30 Titre : Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features Type de document : Article/Communication Auteurs : C.M. Chen, Auteur ; G.F. Hepner, Auteur ; R.R. Forster, Auteur Année de publication : 2003 Article en page(s) : pp 19 - 30 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] accentuation d'image [Termes IGN] avalanche [Termes IGN] effondrement de terrain [Termes IGN] fusion d'images [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] image radar [Termes IGN] image TOPSAR [Termes IGN] limite de résolution radiométrique [Termes IGN] milieu urbain [Termes IGN] modèle numérique de terrain [Termes IGN] occupation du sol [Termes IGN] risque naturel [Termes IGN] transformation intensité-teinte-saturation [Termes IGN] visualisation 3D [Termes IGN] vue perspective Résumé : (Auteur) The Intensity Hue Saturation (IHS) transformation is used to integrate the high spectral resolution, provided by hyperspectral data (Airborne Visible Infrared Imaging Spectrometer, AVIRIS), and the surface texture information, derived from radar data (Topographic Synthetic Aperture Radar, TOPSAR), into a single image of an urban area. This transformed image is superimposed on the Digital Elevation Model (DEM) data derived from TOPSAR data to create a 3D perspective view. The ambiguity of several urban land cover types is resolved to a larger degree using the higher spectral and spatial resolutions and the synergistic visual content provided by the fused image in a 3D perspective. For urban areas that are at risk from geological hazards (e.g., avalanches, mudflows, and debris flows), the fused image provides a costeffective product, rich in the information necessary for assessment and mitigation of these hazards. Copyright ISPRS Numéro de notice : A2003-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(03)00014-5 En ligne : https://doi.org/10.1016/S0924-2716(03)00014-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22381 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-03032	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-03031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Linienextraktion aus SAR-Daten mit einem Markoff-Zufallsfeld-Modell / O. Hellwich (1997)

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