Descripteur
Termes IGN > imagerie > image numérique > image optique > image multibande
image multibandeSynonyme(s)Image xs ;Image multispectrale donnees multispectralesVoir aussi |
Documents disponibles dans cette catégorie (1020)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Land covers update by supervised classification of segmented ASTER images / A.R.S. Marcal in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
[article]
Titre : Land covers update by supervised classification of segmented ASTER images Type de document : Article/Communication Auteurs : A.R.S. Marcal, Auteur ; J.S. Borges, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1347 - 1362 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] carte d'occupation du sol
[Termes IGN] classificateur paramétrique
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image multibande
[Termes IGN] image Terra-ASTER
[Termes IGN] mise à jour cartographique
[Termes IGN] Portugal
[Termes IGN] segmentation d'imageRésumé : (Auteur) The revision of the 1995 land cover dataset for the Vale do Sousa region, in the northwest of Portugal, was carried out by supervised classification of a multispectral image from the Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) sensor. The nine reflective bands of ASTER were used, covering the spectral range from 0.52-2.43 um. The image was initially ortho-rectified and segmented into 51 186 objects, with an average object size of 135 pixels (about 3 ha). A total of 582 of these objects were identified for training nine land cover classes. The image was classified using an algorithm based on a fuzzy classifier, Support Vector Machines (SVM), K Nearest Neighbours (K-NN) and a Logistic Discrimination (LD) classifier. The results from the classification were evaluated using a set of 277 validation sites, independently gathered. The overall accuracy was 44.6%, for the fuzzy classifier. 70.5%, for the SVM, 60.9% for the K-NN and 72.2% for the LD classifier. The difficulty in discriminating between some of the forest land cover classes was examined by separability analysis and unsupervised classification with hierarchical clustering. The forest classes were found to overlap in the multi-spectral space defined by the nine ASTER bands used. Numéro de notice : A2005-179 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412331291233 En ligne : https://doi.org/10.1080/01431160412331291233 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27316
in International Journal of Remote Sensing IJRS > vol 26 n° 7 (April 2005) . - pp 1347 - 1362[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05071 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Updating land cover classification using a rule-based decision system / Damien Raclot in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
[article]
Titre : Updating land cover classification using a rule-based decision system Type de document : Article/Communication Auteurs : Damien Raclot, Auteur ; F. Colin, Auteur ; C. Puech, Auteur Année de publication : 2005 Article en page(s) : pp 1309 - 1321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] base de données d'occupation du sol
[Termes IGN] base de règles
[Termes IGN] classification dirigée
[Termes IGN] cultures
[Termes IGN] données auxiliaires
[Termes IGN] Gers (32)
[Termes IGN] image isolée
[Termes IGN] image multibande
[Termes IGN] image SPOT
[Termes IGN] mise à jour
[Termes IGN] occupation du sol
[Termes IGN] parcelle agricole
[Termes IGN] pixel
[Termes IGN] Sousson (rivière)Résumé : (Auteur) This paper proposes a land cover classification methodology in agricultural contexts that provides satisfactory results with a single satellite image per year acquired during the growing period. Our approach incorporates ancillary data such as cropping history (inter-annual crop rotations), context (altitude, soil type) and structure (parcels size and shape) to compensate for the lack of radiometric data resulting from the use of a single image. The originality of the proposed method resides in the three successive steps used: S1: per-pixel classification of a single SPOT XS image with a restricted number of land cover classes (RL) chosen to ensure good accuracy; S2: conversion of RLs into a per-parcel classification system using ancillary parcel boundaries: and S3: parcel allocation using exhaustive land cover classes (EL) and its refinement through the application of decision rules. The method was tested on a 120 km2 area (Sousson river basin, Gers, France) where exhaustive knowledge of land cover for two successive years allowed complete validation of our method. It allocated 87% of the parcels with a 75% accuracy rate according to the exhaustive list (EL). This is a satisfactory result obtained with one SPOT XS image in a small agricultural parcel context. Numéro de notice : A2005-177 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326774 En ligne : https://doi.org/10.1080/01431160512331326774 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27314
in International Journal of Remote Sensing IJRS > vol 26 n° 7 (April 2005) . - pp 1309 - 1321[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05071 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Integration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data / L.O. Jimenez in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
[article]
Titre : Integration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data Type de document : Article/Communication Auteurs : L.O. Jimenez, Auteur ; J.L. Rivera-Medina, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 844 - 851 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse multivariée
[Termes IGN] classification contextuelle
[Termes IGN] classification non dirigée
[Termes IGN] classification orientée objet
[Termes IGN] extraction automatique
[Termes IGN] image à haute résolution
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] intégration de données
[Termes IGN] objet homogèneRésumé : (Auteur) This paper presents a method of unsupervised enhancement of pixels homogeneity in a local neighborhood. This mechanism will enable an unsupervised contextual classification of multispectral data that integrates the spectral and spatial information producing results that are more meaningful to the human analyst. This unsupervised classifier is an unsupervised development of the well-known supervised extraction and classification for homogenous objects (ECHO) classifier. One of its main characteristics is that it simplifies the retrieval process of spatial structures. This development is specially relevant for the new generation of airborne and spaceborne sensors with high spatial resolution. Numéro de notice : A2005-192 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.843193 En ligne : https://doi.org/10.1109/TGRS.2004.843193 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27329
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 4 (April 2005) . - pp 844 - 851[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-05042 RAB Revue Centre de documentation En réserve L003 Disponible Object-based evaluation of Lidar and multispectral data for automatic change detection in GIS databases / Volker Walter in GIS Geo-Informations-Systeme, vol 2005 n° 4 (April 2005)
[article]
Titre : Object-based evaluation of Lidar and multispectral data for automatic change detection in GIS databases Type de document : Article/Communication Auteurs : Volker Walter, Auteur Année de publication : 2005 Article en page(s) : pp 10 - 15 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse d'image orientée objet
[Termes IGN] base de données localisées
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] image multibande
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] qualité des données
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The automatic interpretation of aerial and satellites images is one of the main important research topics in photogrammetry and images analysis. The aim of the interpretation is the recognition or verification of objects in images. The quality of the interpretation results depends among other factors on the information content of the input data. The more information in the input data the easier is the interpretation process. In this paper an approach is described that increases the quality of the interpretation process by using existing GIS data as prior information on the one hand and by combining multispectral and LIDAR data on the other hand. The approach is used fo automatic change detection and is based on the evaluation of automatically derived training data sets from existing GIS data. For that reason no data dependent tuning factors have to be defined and no human interaction is necessary. Numéro de notice : A2005-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27385
in GIS Geo-Informations-Systeme > vol 2005 n° 4 (April 2005) . - pp 10 - 15[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 058-05041 RAB Revue Centre de documentation En réserve L003 Disponible A land cover distribution composite image from coarse spatial resolution images using an unmixing method / T.M. Uenishi in International Journal of Remote Sensing IJRS, vol 26 n° 5 (March 2005)
[article]
Titre : A land cover distribution composite image from coarse spatial resolution images using an unmixing method Type de document : Article/Communication Auteurs : T.M. Uenishi, Auteur ; K. Oki, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 871 - 886 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] environnement
[Termes IGN] fusion d'images
[Termes IGN] image à moyenne résolution
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image NOAA-AVHRR
[Termes IGN] méthode des moindres carrés
[Termes IGN] nébulosité
[Termes IGN] occupation du solRésumé : (Auteur) A method of sub-pixel land cover estimation including an algorithm for minimizing missing data due to cloud cover was proposed for the purpose of evaluating and monitoring the environment of wide areas. A pair of Landsat Thematic Mapper (TM) scenes over coincident multitemporal National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) time-series of directional hemispherical reflectance were used to develop a fine-scale land cover map using either eight or three categories and to estimate the endmembers of the AVHRR image using a positive constrained linear least-squares method. Furthermore, three approaches were evaluated for compositing sub-pixel estimates over cloudy areas in the AVHRR image. Finally, from validation tests made for unmixing and compositing methods, the results suggest that these methods may be generally useful for comparing multispectral images in space and time. Numéro de notice : A2005-071 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412331269760 En ligne : https://doi.org/10.1080/01431160412331269760 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27209
in International Journal of Remote Sensing IJRS > vol 26 n° 5 (March 2005) . - pp 871 - 886[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A Bayesian approach to classification of multiresolution remote sensing data / G. Storvik in IEEE Transactions on geoscience and remote sensing, vol 43 n° 3 (March 2005)PermalinkPermalinkJournées de la recherche à l'IGN / Anonyme in Géomatique expert, n° 41- 42 (01/03/2005)PermalinkUrban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS / Christiane Weber in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)PermalinkComparison between Mallat's and 'a trous' discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images / M. Gonzalea-Audicana in International Journal of Remote Sensing IJRS, vol 26 n° 3 (February 2005)PermalinkAirborne pushbroom line scanners: an alternative to digital frame cameras / Gordon Petrie in Geoinformatics, vol 8 n° 1 (01/02/2005)PermalinkSpatially adaptative multi-resolution multispectral image fusion / J.H. Park in International Journal of Remote Sensing IJRS, vol 25 n° 23 (December 2004)PermalinkAutomated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkAn automatic nonlinear correlation approach for processing of hyperspectral images / R.N. Ingram in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)PermalinkThe development of superspectral approaches for the improvement of land cover classification / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)Permalink