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Assessing the potential of space-borne C-band SAR data for spatial soil moisture information over a large area / S.A. Romshoo in Geocarto international, vol 19 n° 1 (March - May 2004)
[article]
Titre : Assessing the potential of space-borne C-band SAR data for spatial soil moisture information over a large area Type de document : Article/Communication Auteurs : S.A. Romshoo, Auteur ; K. Musiake, Auteur Année de publication : 2004 Article en page(s) : pp 65 - 75 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse en composantes principales
[Termes IGN] humidité du sol
[Termes IGN] image ERS-SAR
[Termes IGN] image Radarsat
[Termes IGN] modèle de diffusion du rayonnement
[Termes IGN] rétrodiffusion
[Termes IGN] zone humideRésumé : (Auteur) The backscattering coefficient ä from a time series of ERS-2 SAR data showed high correlation (r 2 =0.94) and high sensitivity to the observed surface soil moisture at a field scale. The observations agreed well with the simulations from the two surface scattering models tested in the study area. A single coincidence of the ERS-2 and RADARSAT missions, with two different polarizations, provided an opportunity to estimate soil moisture over a large area by inverting the Dubois model. The estimates were validated with the field observations over a small area and are in good agreement with standard error of estimate (SEE) equal to 1.01 cm3 cm-3. Furthermore, different soil moisture estimation methods were tested and compared with the observations to better understand the temporal and spatial variability of this important parameter. Soil moisture at a point was simulated using three hydrological models and compared with the radar backscattering and the point observations. There is a large variation in the responses among them. Simple statistical approaches viz., coefficient of variation and principal component analysis were used for mapping the spatial patterns of soil moisture over a large area using a time series of ERS-2 data. These simple methods helped to map areas where the moisture availability is not varying much. This information about soil moisture distribution is of vital importance to the hydrological processes especially the variable source area concept. Numéro de notice : A2004-233 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040408542300 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040408542300 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26760
in Geocarto international > vol 19 n° 1 (March - May 2004) . - pp 65 - 75[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-04011 RAB Revue Centre de documentation En réserve L003 Disponible Radar stereo- and interferometry-derived digital elevation models: comparison and combination using Radarsat and ERS-2 imagery / M. Gelautz in International Journal of Remote Sensing IJRS, vol 24 n° 24 (December 2003)
[article]
Titre : Radar stereo- and interferometry-derived digital elevation models: comparison and combination using Radarsat and ERS-2 imagery Type de document : Article/Communication Auteurs : M. Gelautz, Auteur ; P. Paillou, Auteur ; C.W. Chen, Auteur ; H. Zebker, Auteur Année de publication : 2003 Article en page(s) : pp 5243 - 5264 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] acquisition d'images
[Termes IGN] analyse comparative
[Termes IGN] histogramme
[Termes IGN] image ERS-SAR
[Termes IGN] image Radarsat
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle stéréoscopique
[Termes IGN] penteRésumé : (Auteur) In this experiment, we derive and compare radar stereo and interferometric digital elevation models (DEMs) of a study site in Djibouti, East Africa. A Radarsat stereo pair, as well as Radarsat and ERS-2 interferometric data, comprise the test images. The primary objective of the study was to analyse and compare the results obtained by the two techniques and explore possible synergisms between them. We find that in regions of high coherence, the DEMs produced by interferometry are of much better quality than the stereo result. However, the corresponding error histograms also show some pronounced errors due to decorrelation and phase-unwrapping problems on forested mountain slopes. On the other hand, the more robust stereo reconstruction, with an error standard deviation of 45m, is able to capture the general terrain shape, although finer ' surface details are lost. In the second part of our experiment, we demonstrate that merging the stereoscopic and interferometric DEMs by applying a user-defined weighting function to a filtered coherence map can significantly improve the accuracy of the computed elevation maps Numéro de notice : A2003-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115139 En ligne : https://doi.org/10.1080/0143116031000115139 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22638
in International Journal of Remote Sensing IJRS > vol 24 n° 24 (December 2003) . - pp 5243 - 5264[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-03241 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Fast SAR image restoration, segmentation, and detection of high-reflectance regions / E. Bratsolis in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)
[article]
Titre : Fast SAR image restoration, segmentation, and detection of high-reflectance regions Type de document : Article/Communication Auteurs : E. Bratsolis, Auteur ; M. Sigelle, Auteur Année de publication : 2003 Article en page(s) : pp 2890 - 2899 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] champ aléatoire de Markov
[Termes IGN] chatoiement
[Termes IGN] classification
[Termes IGN] filtre numérique
[Termes IGN] histogramme
[Termes IGN] image ERS-SAR
[Termes IGN] itération
[Termes IGN] réflectance
[Termes IGN] restauration d'image
[Termes IGN] segmentation d'imageRésumé : (Auteur) An iterative filter that can be used for speckle reduction and restoration of synthetic aperture radar (SAR) images is presented here. This method can be considered as a first step in the extraction of other important information. The second step is the detection of high-reflectance regions and continues with the segmentation of the total image. We have worked in three-look simulated and real European Remote Sensing 1 satellite amplitude images. The iterative filter is based on a membrane model Markov random field approximation optimized by a synchronous local iterative method. The final form of restoration gives a total sum-preserving regularization for the pixel values of our image. The high-reflectance regions are defined as the brightest regions of the restored image. After the separation of this extreme class, we give a fast segmentation method using the histogram of the restored image. Numéro de notice : A2003-383 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.817222 En ligne : https://doi.org/10.1109/TGRS.2003.817222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26463
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 12 (December 2003) . - pp 2890 - 2899[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03121 RAB Revue Centre de documentation En réserve L003 Disponible Linear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information / V.P. Onana in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)
[article]
Titre : Linear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information Type de document : Article/Communication Auteurs : V.P. Onana, Auteur ; Emmanuel Trouvé, Auteur ; G. Mauris, Auteur ; Jean-Paul Rudant , Auteur ; E. Tonye, Auteur Année de publication : 2003 Article en page(s) : pp 2540 - 2556 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Cameroun
[Termes IGN] classification barycentrique
[Termes IGN] classification floue
[Termes IGN] détection de contours
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] forêt tropicale
[Termes IGN] fusion d'images
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] littoral
[Termes IGN] mangrove
[Termes IGN] objet géographique linéaireRésumé : (Auteur) This paper presents an almost unsupervised fusion algorithm on linear features (LF) extraction in synthetic aperture radar (SAR) interferometric data, in particular for mangroves/shorelines and thin internal channels. The spatial information on LFs is first extracted in the coherence image, where they are wider and more visible : water regions (in particular thin internal channels) are dark areas (low coherence) due to the temporal decorrelation of backscattering signals in these and surrounding regions, whereas conventional vegetation regions are brighter areas (high coherence). These approximate locations of LFs are further refined by using the edge map coming from a semantic fuzzy fusion of the coefficient of variation (CV) and the ratio of local means (RLM) measured in the amplitude image. The final detection of LFs is then performed by merging the two fuzzy inputs : the spatial information and the edge location map. The membership degree statistics of CV and RLM semantic fusion measures are introduced in order to illustrate the location detection ability. The originality of this method in comparison with conventional approaches is in the fusion scheme that follows the interpreter behavior by using first the coherence image for a fuzzy detection where thin LFs are more visible, but have low location accuracy, and then the amplitude image where they are poorly visible, but with higher location accuracy, to obtain improved results. A quantitative performance evaluation is also presented. The method has been applied on real interferometric SAR images from European Remote Sensing satellites over the western part of Cameroon. Numéro de notice : A2003-321 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.818383 En ligne : https://doi.org/10.1109/TGRS.2003.818383 Format de la ressource électronique : URl article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22617
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 11 (November 2003) . - pp 2540 - 2556[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03111 RAB Revue Centre de documentation En réserve L003 Disponible A Markov random field approach to spatio-temporal contextual image classification / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)
[article]
Titre : A Markov random field approach to spatio-temporal contextual image classification Type de document : Article/Communication Auteurs : F. Melgani, Auteur ; S.B. Serpico, Auteur Année de publication : 2003 Article en page(s) : pp 2478 - 2487 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classificateur paramétrique
[Termes IGN] fusion d'images
[Termes IGN] image ERS-SAR
[Termes IGN] image Landsat-TM
[Termes IGN] jeu de données localisées
[Termes IGN] méthode robuste
[Termes IGN] précision de la classificationRésumé : (Auteur) Markov random fields (MRFs) provide a useful and theoretically well-established tool for integrating temporal contextual information into the classification process. In particular, when dealing with a sequence of temporal images, the usual MRF-based approach consists in adopting a "cascade" scheme, i.e., in propagating the temporal information from the current image to the next one of the sequence. The simplicity of the cascade scheme makes it attractive ; on the other hand, it does not fully exploit the temporal information available in a sequence of temporal images. In this paper, a "mutual" MRF approach is proposed that aims at improving both the accuracy and the reliability of the classification process by means of a better exploitation of the temporal information. It involves carrying out a bidirectional exchange of the temporal information between the defined single-time MRF models of consecutive images. A difficult issue related to MRFs is the determination of the MRF model parameters that weight the energy terms related to the available information sources. To solve this problem, we propose a simple and fast method based on the concept of "minimum perturbation" and implemented with the pseudo-inverse technique for the minimization of the sum of squared errors. Experimental results on a multitemporal dataset made up of two multisensor (Landsat Thematic Mapper and European Remote Sensing 1 synthetic aperture radar) images are reported. The results obtained by the proposed "mutual" approach show a clear improvement in terms of classification accuracy over those yielded by a reference MRF-based classifier. The presented method to automatically estimate the MRF parameters yielded significant results that make it an attractive alternative to the usual trial-and-error search procedure. Numéro de notice : A2003-317 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.817269 En ligne : https://doi.org/10.1109/TGRS.2003.817269 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22613
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 11 (November 2003) . - pp 2478 - 2487[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03111 RAB Revue Centre de documentation En réserve L003 Disponible A new maximum-likelihood joint segmentation technique for multitemporal SAR and multiband optical images / P. Lombardo in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)PermalinkStatistical and operational performance assessment of multitemporal SAR image filtering / Emmanuel Trouvé in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)PermalinkFully polarimetric airborne SAR and ERS SAR observations of snow: implications for selection of Envisat ASAR modes / T. Guneriussen in International Journal of Remote Sensing IJRS, vol 24 n° 19 (October 2003)PermalinkDétermination de classes de relief à l'aide de données ERS1 sur des bassins versants tropicaux de Guyane / Marc Lointier in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 172 (Octobre 2003)PermalinkLinear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images / O. Mora in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)PermalinkVers une intégration des techniques spatiales pour la gestion des inondations / Jean-Baptiste Henry in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 172 (Octobre 2003)PermalinkImprovements to urban area characterization using multitemporal and multiangle SAR images / F. Dell'acqua in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)PermalinkMapping urban extent using satellite radar interferometry / W. Grey in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)PermalinkSpace-based surface change detection with differential synthetic-aperture radar (SAR) interferometry: Potentialities and preliminary investigations / Antonio Vettore in Geomatica, vol 57 n° 3 (September 2003)PermalinkTexture analysis and classification of ERS SAR images for map updating of urban areas in The Netherlands / R. Dekker in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)PermalinkMéthode de correction des effets troposphériques en interferométrie différentielle multi date / F. Chaabane in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 170 (Avril 2003)PermalinkWater quality retrievals from combined Landsat TM data and ERS-2 SAR data in the Gulf of Finland / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 3 (March 2003)PermalinkEtude de sites instables sur la ville de Paris par interférométrie radar (technique "permanent scatterers") / E. Pajot (2003)PermalinkExploitation des images RSO multi-temporelles et multi-incidences dans une zone urbaine / A. Boudyaf (2003)PermalinkSoil moisture estimation from ERS-SAR data: toward an operational methodology / Sylvie Le Hégarat-Mascle in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkTwo approaches of textural classification for the location of the flows of lava on the volcanic site of the mountain Cameroon / E. Tonye in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)PermalinkRemote sensing for environmental protection of the eastern Mediterranean rugged mountainous areas, Lebanon / M. Khawlie in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 1-2 (November - December 2002)PermalinkApplication de la télédétection radar à l'étude de la presqu'île et de la baie de Dakhla (géomorphologie, structure géologique et morpho-dynamique actuelle) / K. Selouane (2002)PermalinkEvaluation du potentiel éolien offshore par radars spatio-portés : vers une approche multisource / Nicolas Fichaux in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 163 (Juillet 2001)PermalinkAn improved model for automatic feature-based registration of SAR and SPOT images / Peter Dare in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)Permalink