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Edge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images / Mariví Tello Alonso in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 1 (January 2011)
[article]
Titre : Edge enhancement algorithm based on the wavelet transform for automatic edge detection InSAR images Type de document : Article/Communication Auteurs : Mariví Tello Alonso, Auteur ; C. Lopez-Martinez, Auteur ; J. Mallorqui, Auteur ; P. Salembier, Auteur Année de publication : 2011 Conférence : IGARSS 2009, International Geoscience And Remote Sensing Symposium 12/07/2009 17/07/2009 Le Cap Afrique du sud Proceedings IEEE Article en page(s) : pp 222 - 235 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] accentuation de contours
[Termes IGN] détection automatique
[Termes IGN] détection de contours
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] trait de côte
[Termes IGN] transformation en ondelettesRésumé : (Auteur) This paper presents a novel technique for automatic edge enhancement and detection in synthetic aperture radar (SAR) images. The characteristics of SAR images justify the importance of an edge enhancement step prior to edge detection. Therefore, this paper presents a robust and unsupervised edge enhancement algorithm based on a combination of wavelet coefficients at different scales. The performance of the method is first tested on simulated images. Then, in order to complete the automatic detection chain, among the different options for the decision stage, the use of geodesic active contour is proposed. The second part of this paper suggests the extraction of the coastline in SAR images as a particular case of edge detection. Hence, after highlighting its practical interest, the technique that is theoretically presented in the first part of this paper is applied to real scenarios. Finally, the chances of its operational capability are assessed. Numéro de notice : A2011-050 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2052814 Date de publication en ligne : 26/07/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2052814 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30831
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 1 Tome 1 (January 2011) . - pp 222 - 235[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011011A RAB Revue Centre de documentation En réserve L003 Disponible Superresolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline nonrigid transform model / J. Chan in IEEE Transactions on geoscience and remote sensing, vol 48 n° 6 (June 2010)
[article]
Titre : Superresolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline nonrigid transform model Type de document : Article/Communication Auteurs : J. Chan, Auteur ; J. Ma, Auteur ; Pieter Kempeneers, Auteur ; Frank Canters, Auteur Année de publication : 2010 Article en page(s) : pp 2669 - 2579 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] accentuation d'image
[Termes IGN] fonction spline
[Termes IGN] image hyperspectrale
[Termes IGN] image PROBA-CHRIS
[Termes IGN] itération
[Termes IGN] point d'appui
[Termes IGN] reconstruction d'imageRésumé : (Auteur) Given the hyperspectral-oriented waveband configuration of multiangular CHRIS/Proba imagery, the scope of its application could widen if the present 18-m resolution would be improved. The multiangular images of CHRIS could be used as input for superresolution (SR) image reconstruction. A critical procedure in SR is an accurate registration of the low-resolution images. Conventional methods based on affine transformation may not be effective given the local geometric distortion in high off-nadir angular images. This paper examines the use of a nonrigid transform to improve the result of a nonuniform interpolation and deconvolution SR method. A scale-invariant feature transform is used to collect control points (CPs). To ensure the quality of CPs, a rigorous screening procedure is designed: 1) an ambiguity test; 2) the m-estimator sample consensus method; and 3) an iterative method using statistical characteristics of the distribution of random errors. A thin-plate spline (TPS) nonrigid transform is then used for the registration. The proposed registration method is examined with a Delaunay triangulation-based nonuniform interpolation and reconstruction SR method. Our results show that the TPS nonrigid transform allows accurate registration of angular images. SR results obtained from simulated LR images are evaluated using three quantitative measures, namely, relative mean-square error, structural similarity, and edge stability. Compared to the SR methods that use an affine transform, our proposed method performs better with all three evaluation measures. With a higher level of spatial detail, SR-enhanced CHRIS images might be more effective than the original data in various applications. Numéro de notice : A2010-192 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2039797 En ligne : https://doi.org/10.1109/TGRS.2009.2039797 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30386
in IEEE Transactions on geoscience and remote sensing > vol 48 n° 6 (June 2010) . - pp 2669 - 2579[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 065-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Forest object-oriented classification with customized and automatic attribute selection / Olivier de Joinville (2010)
Titre : Forest object-oriented classification with customized and automatic attribute selection Type de document : Article/Communication Auteurs : Olivier de Joinville , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 38-8 Conférence : ISPRS 2010, Technical Commission 8 Symposium, Networking the World with Remote Sensing 02/08/2010 12/08/2010 Kyoto Japon ISPRS OA Archives Commission 8 Importance : pp 669 - 674 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification barycentrique
[Termes IGN] classification orientée objet
[Termes IGN] composition colorée
[Termes IGN] forêt domaniale
[Termes IGN] image SPOT
[Termes IGN] matrice de confusion
[Termes IGN] segmentation d'image
[Termes IGN] Somme (80)Résumé : (auteur) This paper presents a semi-automatic method to optimize object-oriented classification without photointerpretation. The thematic studied is the forest (Crecy forest in the north of France). A SPOT 2 image at 20 m spatial resolution was analysed in a near infrared colour composite (green, red and infrared). New classification methods no longer work with pixels, but with regions derived from the previously segmented image [TRIAS 2006], [BENCHERIF 2009].The first step consists in image segmentation based on several criteria, a scale parameter and an homogeneity factor made up of two complementary factors: shape and radiometry. Two segmentations have been computed: one at very large scale (no more than 20 regions) in order to establish a manually made classification with only 2 classes: forest and no forest (this latter will not be classified). Another one at a smaller scale which will be used to select the test samples (also called training area) on the forest area. Once both segmentations and manual classification are completed and validated (essentially visually), the objective of this study is to determine semi automatically the most adapted attributes for each training area (5 training areas have been selected). Therefore, for all selected training areas, attributes are automatically selected, consecutively based on three criteria: radiometry, shape and texture. For each of these criteria, a maximum number of attributes is fixed among all potentially interesting attributes and the optimum attribute combination is automatically selected with respect to a statistical parameter derived from a distance matrix. The distance matrix optimizes the separation between the training areas. Then, 3 classifications were set up, each of them with the optimum automatically selected attribute combination derived from the previous step. For each of these classifications, a confusion matrix will be computed. For each training area its confusion rate with other training areas was computed and the lowest confusion rate was selected as the criterion. For instance, if there is a training area which has 35 % of confusion pixels with other classes for a radiometric combination, 25% for a textural combination and 5 % for a morphologic one (shape criterion), this training area will be affected with a morphologic attribute combination. The result is thus a new classification with the new customized attributes for each training area. In the assessment of this classification, the confusion rate for each class decreases significantly. Then, reliability maps are built to determine the risk of confusion between the classes. Test results are so far encouraging. Due to this new method, the confusion rates decrease significantly with respect to a standard nearest neighbour approach. Numéro de notice : C2010-032 Affiliation des auteurs : ENSG (1941-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVIII/part8/pdf/W07P02_20100218000017.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90642 Documents numériques
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Forest object-oriented classification ... - pdf éditeurAdobe Acrobat PDF The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)
[article]
Titre : The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran Type de document : Article/Communication Auteurs : A. Moghtaderi, Auteur ; F. Moore, Auteur ; Ali Mohammadzadeh, Auteur Année de publication : 2009 Article en page(s) : pp 79 - 87 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] altération géologique
[Termes IGN] capteur multibande
[Termes IGN] composition colorée
[Termes IGN] cratère
[Termes IGN] image optique
[Termes IGN] image Terra-ASTER
[Termes IGN] Iran
[Termes IGN] minéralogie
[Termes IGN] réflectance du sol
[Termes IGN] traitement d'imageRésumé : (Auteur) Ore deposits are often produced by fluid flow processes that basically alter the mineralogy and chemistry of the country rock. One of the important objectives of developed multispectral and a hyper-spectral sensor is to detect optical characteristics of the Earth surface using hundreds of spectral bands. All previous studies show that remote sensing can recognize alteration to different degrees using different spatial and spectral resolution sensors. ASTER sensor measures reflected radiation in VNIR, SWIR and TIR electromagnetic energies. It's cheap and easily available. The alteration minerals of Chadormalu area (Chadormalu paleocrater and the related iron oxide deposit) are investigated in the field and successfully detected by applying IARR (Internal Average Relative Reflectance), FCC (False Color Composite), Decorrelation-stretch, MNF (Minimum Noise Fraction Transform), correlated filter and MEM (Mathematical Evaluation Method) techniques on ASTER imageries. Sadie, potassic, and silicic-sericitisation alteration patterns are distinguished. This studv shows that, the ability and accuracy of MEM method is better than 2*2 correlated filter techniques. The results indicate that, pervasive hydrothermal ore-forming processes are important at the study area. Judging from alteration mineral assemblages, it may be said that Chadormalu iron deposit is an endmember of the Kiruna type -Iron oxide (Cu-Au) ore deposit continuum. Numéro de notice : A2009-523 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30152
in Photo interprétation, European journal of applied remote sensing > vol 45 n° 2 (juin 2009) . - pp 79 - 87[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 104-09021 SL Revue Centre de documentation Revues en salle Exclu du prêt ISRV: an improved synthetic variable ratio method for image fusion / L. Wang in Geocarto international, vol 23 n° 2 (April - May 2008)
[article]
Titre : ISRV: an improved synthetic variable ratio method for image fusion Type de document : Article/Communication Auteurs : L. Wang, Auteur ; X. Cao, Auteur ; J. Chen, Auteur Année de publication : 2008 Article en page(s) : pp 155 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] affinage d'image
[Termes IGN] classification dirigée
[Termes IGN] ENVI
[Termes IGN] fusion d'images
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatiqueRésumé : (Auteur) An Improved Synthetic Variable Ratio (ISVR) fusion method is proposed to merge high spatial resolution panchromatic (Pan) images and multispectral (MS) images based on a simulation of the panchromatic image from the multispectral bands. Compared to the existing SVR (Synthetic Variable Ratio) family methods, the ISVR method manifests two major improvements: a simplified and physically meaningful scheme to derive the parameters necessary as required by SVR, and less computing power. Two sets of IKONOS Pan and MS images: one in urban area and another one in a forest area, were used to evaluate the effectiveness of classification-oriented ISVR method in comparison to the Principal Component Substitution (PCS), Synthetic Variable Ratio (SVR) and Gram-Schmidt Spectral Sharpening (GS) methods that are available in the ENVI software package. Results indicate the ISVR method achieves the best spectral fidelity to facilitate classification compared to PCS, SVR, and GS methods. Copyright Taylor & Francis Numéro de notice : A2008-079 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701204198 En ligne : https://doi.org/10.1080/10106040701204198 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29074
in Geocarto international > vol 23 n° 2 (April - May 2008) . - pp 155 - 165[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-08021 RAB Revue Centre de documentation En réserve L003 Disponible Etude des images TerraSAR-X / Fabien Coubard (2008)PermalinkImagerie spatiale / P. Lier (2008)PermalinkLe lidar à retour d'onde complet : nature de l'information enregistrée et perspectives d'utilisations / Sylvie Durrieu in Revue Française de Photogrammétrie et de Télédétection, n° 186 (Juin 2007)PermalinkLa transformation en ondelettes pour l'extraction de la texture-couleur : application à la classification combinée des images (HRV) de SPOT / A. Safia in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)PermalinkImage restoration for resolution improvement of digital aerial images: a comparison of large format digital cameras / S. Becker in Revue Française de Photogrammétrie et de Télédétection, n° 183 (Septembre 2006)PermalinkOn the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)PermalinkObservations of surface and atmospheric features from passive microwave satellite measurements / R.R. Ferraro (29/03/2006)PermalinkEstimating accuracy in optimal deconvolution of synthetic AMSR-E observations / A.S. Limaye in Remote sensing of environment, vol 100 n° 1 (15/01/2006)PermalinkAnalyse et traitement des images numériques / Philippe Destuynder (2006)PermalinkResource management information systems / K.R. Mccloy (2006)Permalink