Descripteur
Documents disponibles dans cette catégorie (153)
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
Unsupervised classification of hyperspectral data: an ICA mixture model based approach / Chintan A. Shah in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
[article]
Titre : Unsupervised classification of hyperspectral data: an ICA mixture model based approach Type de document : Article/Communication Auteurs : Chintan A. Shah, Auteur ; M.K. Arora, Auteur ; P.K. Varshney, Auteur Année de publication : 2004 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes indépendantes
[Termes IGN] classification non dirigée
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] précision de la classificationRésumé : (Auteur) Conventional unsupervised classification algorithms that model the data in each class with a multivariate Gaussian distribution are often inappropriate, as this assumption is frequently not satisfied by the remote sensing data. In this Letter, a new algorithm based on independent component analysis (ICA) is presented. The ICA mixture model (ICAMM) algorithm that models class distributions as non-Gaussian densities has been employed for unsupervised classification of a test image from the AVIRIS sensor. A number of feature-extraction techniques have also been examined that serve as a preprocessing step to reduce the dimensionality of the hyperspectral data. The proposed ICAMM algorithm results in significant increase in the classification accuracy over that obtained from the conventional K-means algorithm for land cover classification. Numéro de notice : A2004-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618040 En ligne : https://doi.org/10.1080/01431160310001618040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26588
in International Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004)[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04021 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Predicting missing field boundaries to increase per-field classification accuracy / Paul Aplin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)
[article]
Titre : Predicting missing field boundaries to increase per-field classification accuracy Type de document : Article/Communication Auteurs : Paul Aplin, Auteur ; P. Atkinson, Auteur Année de publication : 2004 Article en page(s) : pp 141 - 149 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification
[Termes IGN] image CASI
[Termes IGN] image Ikonos
[Termes IGN] image SPOT-HRV
[Termes IGN] limite de terrain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classificationRésumé : (Auteur) A new technique for predicting missing field boundaries was developed to increase the accuracy of per-field classification. This technique is based on a comparison of within-field modal land-cover proportion and local variance. Analysis was performed on 4-m and 20-m spatial resolution imagery derived from Compact Airborne Spectrographic Imager (CASI) data, to simulate the difference in land-cover classification accuracy between multispectral Ikonos and Satellite Pour l'Observation de ]a Terre (SPOT) High Resolution Visible (HRV) imager. Initially, per-pixel classification was performed, followed by per-field classification. The technique for detecting missing boundaries was then implemented, and per-field classification was carried out a second time using updated field boundary data. Finally, an accuracy assessment was performed. The results demonstrate that classification was significantly more accurate when the missing boundary flag was used, and that simulated Ikonos imagery was considerably more accurate for this purpose than simulated SPOT HRV imagery. Numéro de notice : A2004-007 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.1.141 En ligne : https://doi.org/10.14358/PERS.70.1.141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26535
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 1 (January 2004) . - pp 141 - 149[article]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
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-03111 RAB Revue Centre de documentation En réserve L003 Disponible Strategies for integrating information from multiple resolutions into land-use/land-cover classification routines / D.M. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 11 (November 2003)
[article]
Titre : Strategies for integrating information from multiple resolutions into land-use/land-cover classification routines Type de document : Article/Communication Auteurs : D.M. Chen, Auteur ; D. Stow, Auteur Année de publication : 2003 Article en page(s) : pp 1279 - 1287 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] banlieue
[Termes IGN] classification barycentrique
[Termes IGN] classification multidimensionnelle
[Termes IGN] image à très haute résolution
[Termes IGN] intégration de données
[Termes IGN] métropole
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] résolution multiple
[Termes IGN] San DiegoRésumé : (Auteur) With the development of new remote sensing systems, very high spatial and spectral resolution images now provide a source for detailed and continuous sampling of the Earth's surface from local to regional scales. This paper presents three strategies for selecting and integrating information from different spatial resolutions into classification routines. One strategy is to combine layers of image varying resolution. A second strategy involves comparing the a posteriori probabilities of each class at different resolutions. Another strategy is based on a top-down approach stating with the coarsest resolution. The multiresolution strategies are tested using simulated multiresolution images for a portion of the rural-urban fringe of the SanDiego Metropolitan Area. The classification accuracy obtained from using three multiple strategies was greater when compared with that from a conventional single-resolution approach. Among the three strategies, the top-down approach resulted in the highest classification accuracy with a Kappa value of 0,648 compared to a Kappa of 0,566 for the conventional classifier. Numéro de notice : A2003-294 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.11.1279 En ligne : https://doi.org/10.14358/PERS.69.11.1279 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22589
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 11 (November 2003) . - pp 1279 - 1287[article]Improvements 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)
[article]
Titre : Improvements to urban area characterization using multitemporal and multiangle SAR images Type de document : Article/Communication Auteurs : F. Dell'acqua, Auteur ; Paolo Gamba, Auteur ; G. Lisini, Auteur Année de publication : 2003 Article en page(s) : pp 1996 - 2004 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] bande C
[Termes IGN] bande X
[Termes IGN] classification floue
[Termes IGN] classification par réseau neuronal
[Termes IGN] extraction du réseau routier
[Termes IGN] histogramme
[Termes IGN] image ERS-SAR
[Termes IGN] image multitemporelle
[Termes IGN] Lombardie
[Termes IGN] milieu urbain
[Termes IGN] précision de la classification
[Termes IGN] réalité de terrain
[Termes IGN] réseau routierRésumé : (Auteur) In this paper, we present some improvements to urban area characterization by means of synthetic aperture radar (SAR) images using multitemporal and multiangle datasets. The first aim of this research is to show that a temporal sequence of satellite SAR data may improve the classification accuracy and the discriminability of land cover classes in an urban area. Similarly, a second point worth discussing is to what extent multiangle SAR data allows extracting complementary urban features, exploiting different acquisition geometries. To these aims, in this paper, we show results on the same urban test site (Pavia, northern Italy), referring to a sequence of European Remote Sensing Satellite 1/2 (ERS1/2) Cband images and to a set of simulated Xband data with a finer spatial resolution and different viewing angles. In particular, the multitemporal data is analyzed by means of a novel procedure based on a neurofuzzy classifier whose input is a subset of the ERS sequence chosen using the histogram distance index. Instead, the multiangle dataset is used to provide a better characterization of the road network in the area, overcoming effects due to the orientation of the SAR sensor. Numéro de notice : A2003-251 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814631 En ligne : https://doi.org/10.1109/TGRS.2003.814631 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22546
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1996 - 2004[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Spectral resolution requirements for mapping urban areas / Martin Herold in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)PermalinkImpact of topographic normalization on land-cover classification accuracy / S.R. Hale in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)PermalinkEvaluation of airborne video data for land-cover classification accuracy assessment / I.T. Grierson in Geocarto international, vol 18 n° 2 (June - August 2003)PermalinkLand cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA / R. Narayanan in Geocarto international, vol 17 n° 3 (September - November 2002)PermalinkBest-bases feature extraction algorithms for classification of hyperspectral data / Satish Kumar in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)PermalinkRadar and optical data integration for land-use-land-cover mapping / Barry N. Haack in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 6 (June 2000)PermalinkQualité de l'occupation des sols / José Devers (1998)PermalinkThematic Mapper thermal infrared data in discriminating selected urban features / S.M. Leak in International Journal of Remote Sensing IJRS, vol 11 n° 5 (May 1990)PermalinkThe use of structural information for improving land-cover classification accuracies at the rural-urban fringe / P. Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 1 (january 1990)PermalinkA comparison of classification algorithms in terms of speed and accuracy after the application of a post-classification modal filter / D.J. Booth in International Journal of Remote Sensing IJRS, vol 10 n° 7 (July 1989)Permalink