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A patch-based image classification by integrating hyperspectral data with GIS / B. Zhang in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
[article]
Titre : A patch-based image classification by integrating hyperspectral data with GIS Type de document : Article/Communication Auteurs : B. Zhang, Auteur ; Xiuping Jia, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 3337 - 3346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] classification pixellaire
[Termes IGN] image hyperspectrale
[Termes IGN] image PHI
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Hyperspectral remote sensing data provide detailed spectral information and are widely used for pixel-based image classification. However, without considering spatial correlation among neighbouring pixels, a generated thematic map may have a ‘salt-and-pepper’ appearance. With the development of the Geographic Information System (GIS), the spatial relationship between a pixel and its neighbours can be recorded readily and used together with remote sensing data. The objective of this study was to integrate hyperspectral data with the GIS for effective thematic mapping. To date, GIS data have been used mainly in field surveys or training field selection for remote sensing data interpretation. Here we propose a patch-classification based on integration of the GIS with remote sensing data. The classification results obtained by using this method can be easily saved in a vector format as used for GIS files. Computational cost is decreased compared with a pixel-by-pixel classification. The issue of how to identify pure or mixed patches is addressed and a three-level simple and effective checking method is developed. A case study is presented with a hyperspectral data set recorded by the Pushbroom Hyperspectral Imager (PHI) and related GIS data. Numéro de notice : A2006-337 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500409577 En ligne : https://doi.org/10.1080/01431160500409577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28061
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3337 - 3346[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible Performance of change detection using remotely sensed data and evidential fusion: comparison of three cases of application / Sylvie Le Hégarat-Mascle in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)
[article]
Titre : Performance of change detection using remotely sensed data and evidential fusion: comparison of three cases of application Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; R. Seltz, Auteur ; Laurence Hubert-Moy, Auteur ; Samuel Corgne, Auteur ; Nicolas Stach , Auteur Année de publication : 2006 Article en page(s) : pp 3515 - 3532 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] changement climatique
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] cultures
[Termes IGN] détection de changement
[Termes IGN] forêt
[Termes IGN] Pinus (genre)
[Termes IGN] théorie de l'informationRésumé : (Auteur) The detection of changes affecting continental surfaces has important applications in hydrological, meteorological and climatic modelling. Using remote sensing data, numerous change indices have already been proposed. Previous work showed the interest of combining several of these to improve change detection performance, using the Dempster–Shafer evidence theory framework. This study analyses the performance of different change indices and their combination in different cases of application: forest logging either in pine forest or in mixed forest, and winter vegetation cover of fields in intensive farming areas, in comparison to the forest fire case presented in previous work. The interest of indices derived from Information Theory, some of which are original, is shown. Numéro de notice : A2006-338 Affiliation des auteurs : IFN+Ext (1958-2011) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500300255 Date de publication en ligne : 22/02/2007 En ligne : https://doi.org/10.1080/01431160500300255 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28062
in International Journal of Remote Sensing IJRS > vol 27 n°15-16 (August 2006) . - pp 3515 - 3532[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06081 RAB Revue Centre de documentation En réserve L003 Disponible A support vector method for anomaly detection in hyperspectral imagery / Amit Banerjee in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)
[article]
Titre : A support vector method for anomaly detection in hyperspectral imagery Type de document : Article/Communication Auteurs : Amit Banerjee, Auteur ; Philippe Burlina, Auteur ; Chris Diehl, Auteur Année de publication : 2006 Article en page(s) : pp 2282 - 2291 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] aide à la décision
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] détection d'erreur
[Termes IGN] détection de cible
[Termes IGN] image hyperspectrale
[Termes IGN] méthode fondée sur le noyau
[Termes IGN] test statistiqueRésumé : (Auteur) This paper presents a method for anomaly detection in hyperspectral images based on the support vector data description (SVDD), a kernel method for modeling the support of a distribution. Conventional anomaly-detection algorithms are based upon the popular Reed-Xiaoli detector. However, these algorithms typically suffer from large numbers of false alarms due to the assumptions that the local background is Gaussian and homogeneous. In practice, these assumptions are often violated, especially when the neighborhood of a pixel contains multiple types of terrain. To remove these assumptions, a novel anomaly detector that incorporates a nonparametric background model based on the SVDD is derived. Expanding on prior SVDD work, a geometric interpretation of the SVDD is used to propose a decision rule that utilizes a new test statistic and shares some of the properties of constant false-alarm rate detectors. Using receiver operating characteristic curves, the authors report results that demonstrate the improved performance and reduction in the false-alarm rate when using the SVDD-based detector on wide-area airborne mine detection (WAAMD) and hyperspectral digital imagery collection experiment (HYDICE) imagery. Copyright IEEE Numéro de notice : A2006-396 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.873019 En ligne : https://doi.org/10.1109/TGRS.2006.873019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28120
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 8 (August 2006) . - pp 2282 - 2291[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-06081 RAB Revue Centre de documentation En réserve L003 Disponible Tree cover and height estimation in the Fennoscandian tundra-taiga transition zone using multiangular MISR data / J. Heiskanen in Remote sensing of environment, vol 103 n° 1 (15 July 2006)
[article]
Titre : Tree cover and height estimation in the Fennoscandian tundra-taiga transition zone using multiangular MISR data Type de document : Article/Communication Auteurs : J. Heiskanen, Auteur Année de publication : 2006 Article en page(s) : pp 97 - 114 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] arbre (flore)
[Termes IGN] classification par réseau neuronal
[Termes IGN] détection de changement
[Termes IGN] Finlande
[Termes IGN] forêt boréale
[Termes IGN] image Terra-MISR
[Termes IGN] taïga
[Termes IGN] toundraRésumé : (Auteur) The tundra–taiga transition zone stretches around the northern hemisphere separating boreal forest to the south from treeless tundra to the north. Tree cover and height are important variables to characterize this vegetation transition. Accurate continuous fields of tree cover and height would enable the delineation of the forest extent according to different criterion and provide useful data for change detection of this climatically sensitive ecotone. This study examined if multiangular remote sensing data has potential to improve the accuracy of the tree cover and height estimates in relation to nadir-view data. The satellite data consisted of Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m and 1.1 km resolutions. The study area was located in the Fennoscandian tundra–taiga transition zone, in northernmost Finland. The continuous fields of tree cover and height were estimated using neural networks, which were trained and assessed by high-resolution biotope inventory data. The spectral–angular data together produced lower estimation errors than single band nadir, multispectral nadir or single band multiangular data alone. RMSE of the tree cover estimates reduced from 7.8% (relative RMSE 67.4%) to 6.5% (56.1%) at 275 m resolution, and from 5.4% (49.2%) to 4.1% (36.9%) at 1.1 km resolution, when multispectral nadir data were used together with multiangular data. RMSE of the tree height estimates reduced from 2.3 m (44.3%) to 2.0 m (37.6%) and from 1.8 m (35.4%) to 1.3 m (25.4%), respectively. The largest estimation errors occurred in mires and in areas of dense shrub cover, but the use of multiangular data also reduced estimation errors in these areas. The results suggest that directional information has potential to improve the tree cover and height estimates, and hence the accuracy of the land cover change detection in the tundra–taiga transition zone. Copyright Elsevier Numéro de notice : A2006-285 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.03.015 En ligne : https://doi.org/10.1016/j.rse.2006.03.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28012
in Remote sensing of environment > vol 103 n° 1 (15 July 2006) . - pp 97 - 114[article]Fuzzy classification: a case study using Landsat TM images in Iran / A.M. Lak in GIM international, vol 20 n° 7 (July 2006)
[article]
Titre : Fuzzy classification: a case study using Landsat TM images in Iran Type de document : Article/Communication Auteurs : A.M. Lak, Auteur ; M. Hamrah, Auteur ; G.H. Majdabadi, Auteur Année de publication : 2006 Article en page(s) : pp 42 - 43 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification barycentrique
[Termes IGN] classification floue
[Termes IGN] classification hybride
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] distribution de Gauss
[Termes IGN] image Landsat-TM
[Termes IGN] Iran
[Termes IGN] MatlabRésumé : (Editeur) Extraction of information from satellite images is a solution for countries without up-to-date base maps. Such images can be easily obtained and cover vast areas. Information is mostly extracted using multispectral classification, but many methods have been developed. The authors examined 'fuzzy classification' and found it more accurate and requiring less computing time than other methods. Copyright GITC Numéro de notice : A2006-253 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27980
in GIM international > vol 20 n° 7 (July 2006) . - pp 42 - 43[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 061-06071 RAB Revue Centre de documentation En réserve L003 Disponible Incorporating domain knowledge and spatial relationships into land cover classifications: a rule-based approach / A.E. Daniels in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkA practical map labeling algorithm utilizing morphological image processing and force-directed methods / G. Stadler in Cartography and Geographic Information Science, vol 33 n° 3 (July 2006)PermalinkSélection adaptative des dimensions de l'indexation visuelle d'images mal annotées en fonction du mot recherché / S. Tollari in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 11 n° 4 (juillet - août 2006)PermalinkSome issues in the classification of DAIS hyperspectral data / M. Pal in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkStudy of tectonics in relation to the seismic activity of the Davalt area, Nasik district, Maharashtra, India using remote sensing and GIS techniques / J. Sarup in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkUrban land-use classification using variogram-based analysis with an aerial photograph / S.S. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)PermalinkApport de la classification combinée supervisée et non supervisée d'une image Landsat ETM+ à la cartographie géologique de la boutonnière de Kerdous, anti-atlas, Maroc / M. Hakdaoui in Photo interprétation, vol 42 n° 2 (Juin 2006)PermalinkArtificial neural networks for mapping regional-scale upland vegetation from high spatial resolution imagery / H. Mills in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)PermalinkClassification of fully polarimetric SAR data for land use cartography / Cédric Lardeux in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkHigh spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes / J. Barlow in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 6 (June 2006)Permalink