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Use of the Bradley-Terry model to quantify association in remotely sensed images / Alfred Stein in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
[article]
Titre : Use of the Bradley-Terry model to quantify association in remotely sensed images Type de document : Article/Communication Auteurs : Alfred Stein, Auteur ; J. Aryal, Auteur ; G. Gort, Auteur Année de publication : 2005 Article en page(s) : pp 852 - 856 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 par la distance de Mahalanobis
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] estimation de précision
[Termes IGN] estimation des paramètres
[Termes IGN] image Ikonos
[Termes IGN] image Terra-ASTER
[Termes IGN] Pays-BasRésumé : (Auteur) Thematic maps prepared from remotely sensed images require a statistical accuracy assessment. For this purpose, the k-statistic is often used. This statistic does not distinguish between whether one unit is classified as another, or vice versa. In this paper, the Bradley-Terry (BT) model is applied for accuracy assessment. This model compares categories pairwise. The probability of one class over another class is estimated as well as the expected values of class pixels. The study is illustrated with an Advanced Spaceborne Thermal Emission and Reflection Radiometer image from the Netherlands, to which a maximum-likelihood classification with the Euclidean distance is applied. An error matrix is generated using an IKONOS image from the same area as ground truth. It is shown to which degree the BT model extends the K-statistic. A comparison with the Mahalanobis distance is made. Standardization is carried out to overcome problems emerging from the fact that a common BT model does not include the number of correctly classified pixels. The study shows how the BT model serves as an alternative to the usual k-statistic. Numéro de notice : A2005-193 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.843569 En ligne : https://doi.org/10.1109/TGRS.2005.843569 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27330
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 4 (April 2005) . - pp 852 - 856[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05042 RAB Revue Centre de documentation En réserve L003 Disponible Extension of retrospective datasets using multiple sensors: an approach to radiometric intercalibration of Landsat TM and MSS data / Arno Röder in Remote sensing of environment, vol 95 n° 2 (30/03/2005)
[article]
Titre : Extension of retrospective datasets using multiple sensors: an approach to radiometric intercalibration of Landsat TM and MSS data Type de document : Article/Communication Auteurs : Arno Röder, Auteur ; T. Kuemmerle, Auteur ; J. Hill, Auteur Année de publication : 2005 Article en page(s) : pp 195 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] données multicapteurs
[Termes IGN] étalonnage radiométrique
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] image multitemporelle
[Termes IGN] redressement d'imageRésumé : (Auteur) The establishment of monitoring frameworks for environmental problems is frequently based on retrospective, multi-temporal series of satellite images. The derivation of concise conclusions from these series largely depends on their quantitative consistency ; hence, a completely standardized analysis of multi-temporal time series is mandatory. In the context of the required radiometric rectification, sensor calibration is an essential component, the accuracy of which largely determines the overall result. While for newer sensor systems extensive documentation on the development of the sensor's sensitivity exists, older systems often lack the corresponding information.
A methodology has been developed, tested and validated to radiometrically intercalibrate different sensor systems based on the precondition of simultaneous image acquisition, which is for example provided by the Landsat TM and MSS sensor systems hosted on Landsat 5. Different interpolation and processing steps within the procedure have been analyzed, and an intercalibration scheme is proposed to derive Landsat MSS calibration factors from Landsat TM, which is used as a calibrated reference. It supports a full radiometric rectification of Landsat MSS data and enables their incorporation into satellite image time series, which can thus be significantly extended by a maximum of 12 years.Numéro de notice : A2005-163 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.008 En ligne : https://doi.org/10.1016/j.rse.2004.12.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27301
in Remote sensing of environment > vol 95 n° 2 (30/03/2005) . - pp 195 - 210[article]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)
[article]
Titre : A Bayesian approach to classification of multiresolution remote sensing data Type de document : Article/Communication Auteurs : G. Storvik, Auteur ; R. Fjortoft, Auteur ; A.H. Schistad, Auteur Année de publication : 2005 Article en page(s) : pp 539 - 547 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse multiéchelle
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification
[Termes IGN] estimation bayesienne
[Termes IGN] image à basse résolution
[Termes IGN] image à haute résolution
[Termes IGN] image multibande
[Termes IGN] limite de résolution géométrique
[Termes IGN] modèle de Markov
[Termes IGN] résolution multipleRésumé : (Auteur) Several earth observation satellites acquire image bands with different spatial resolutions, e.g., a panchromatic band with high resolution and spectral bands with lower resolution. Likewise, we often face the problem of different resolutions when performing joint analysis of images acquired by different satellites. This paper presents models and methods for classification of multiresolution images. The approach is based on the concept of a reference resolution, corresponding to the highest resolution in the dataset Prior knowledge about the spatial characteristics of the classes is specified through a Markov random field model at the reference resolution. Data at coarser scales are modeled as mixed pixels by relating the observations to the classes at the reference resolution. A Bayesian framework for classification based on this multiscale model is proposed. The classification is realized by an iterative conditional modes (ICM) algorithm. The parameter estimation can be based both on a training set and on pixels with unknown class. A computationally efficient scheme based on a combination of the ICM and the expectation-maximization algorithm is proposed. Result obtained on simulated and real satellite images are presented. Numéro de notice : A2005-167 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.841395 En ligne : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1396326 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27305
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 3 (March 2005) . - pp 539 - 547[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05032 RAB Revue Centre de documentation En réserve L003 Disponible 065-05031 RAB Revue Centre de documentation En réserve L003 Disponible Nested hyper-rectangle learning model for remote sensing: land-cover classification / L. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)
[article]
Titre : Nested hyper-rectangle learning model for remote sensing: land-cover classification Type de document : Article/Communication Auteurs : L. Chen, Auteur Année de publication : 2005 Article en page(s) : pp 333 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage dirigé
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal
[Termes IGN] image SPOT-HRV
[Termes IGN] occupation du sol
[Termes IGN] TaïwanRésumé : (Auteur) This study presents an exemplar-based nested hyper-rectangle learning model (NHLM) which is an efficient and accurate supervised classification model. The proposed model is based on the concept of seeding training data in the Euclidean m-space (where m denotes the number of features) as hyper-rectangles. To express the exceptions, these hyper-rectangles may be nested inside one another to an arbitrary depth. The fast and one-shot learning procedures can adjust weights dynamically when new examples are added. Furthermore, the "second chance" heuristic is introduced in NHLM to avoid creating more memory objects than necessary. NHLM is applied to solving the land cover classification problem in Taiwan using remote sensed imagery. The study investigated five land cover classes and clouds. These six classes were chosen from field investigation of the study area according to previous study. Therefore, this paper aims to produce a land cover classification based on SPOT HRV spectral data. Compared with a standard back-propagation neural network (BPN), the experimental results indicate that NHLM provides a powerful tool for categorizing remote sensing data. Numéro de notice : A2005-107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.3.333 En ligne : https://doi.org/10.14358/PERS.71.3.333 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27245
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 3 (March 2005) . - pp 333 - 340[article]Automatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs / M. Turker in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)PermalinkA global analysis urban reflectance / C. Small in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 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)PermalinkTsunami en Asie : le raz-de-marée des images satellites / Françoise de Blomac in SIG la lettre, n° 64 (février 2005)PermalinkPerformance of different spectral and textural photograph features in multi-source forest inventory / Sakari Tuominen in Remote sensing of environment, vol 94 n° 2 (30/01/2005)PermalinkQuality assessment and improvement of temporally composite products of remote sensed imagery by combination of Vegetation 1 and 2 images / Olivier Hagolle in Remote sensing of environment, vol 94 n° 2 (30/01/2005)PermalinkAnalysis of the spectral variability of urban materials for classification : A case study over Toulouse (France) / Sophie Lacherade (2005)PermalinkAutomating the extraction of revolution objects from single laser scans of architectural scenes / Matthieu Deveau (2005)PermalinkEvaluation of 3D city model production from Pleaides-HR satellite images and 3D ground maps / David Flamanc (2005)PermalinkA high-reliability, high-resolution method for land cover classification into forest and non-forest / Roger Trias-Sanz (2005)PermalinkInferring and enforcing geometrical constraints on a 3D model for building reconstruction / Franck Taillandier (2005)PermalinkA metric for evaluating and comparing hierarchical and multi-scale image segmentations / Roger Trias-Sanz (2005)PermalinkA parametric model for automatic 3D building reconstruction from high resolution satellite images / Florent Lafarge (2005)PermalinkA texture orientation estimator for discriminating between forests, orchards, vineyards, and tilled fields / Roger Trias-Sanz (2005)PermalinkNormalized spectral mixture analysis for monitoring urban composition using ETM+ imagery / C. Wu in Remote sensing of environment, vol 93 n° 4 (15/12/2004)PermalinkA review of satellite and airborne sensors for remote sensing based detection of minefields and landmines / B.H. Maathuis in International Journal of Remote Sensing IJRS, vol 25 n° 23 (December 2004)PermalinkSpatially adaptative multi-resolution multispectral image fusion / J.H. Park in International Journal of Remote Sensing IJRS, vol 25 n° 23 (December 2004)PermalinkEtude phénoménologique du transfert radiatif en milieu urbain : Dimensionnement d'une campagne aéroportée sur Toulouse pour la détermination des réflectances de surface / Sophie Lacherade in Revue Française de Photogrammétrie et de Télédétection, n° 176 (Décembre 2004)PermalinkTracking road centrelines from high resolution remote sensing images by least squares correlation matching / S.R. Park 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 contribution of the sources separation method in the decomposition of mixed pixels / Mohamed Saber Naceur in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (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)PermalinkAn assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs / D.G. Hadjimitsis in International Journal of Remote Sensing IJRS, vol 25 n° 18 (September 2004)PermalinkExtrapolation of the aerosol reflectance from the near-infrared to the visible : the single-scattering epsilon vs multiple-scattering epsilon method / M. Wang in International Journal of Remote Sensing IJRS, vol 25 n° 18 (September 2004)PermalinkApplication d'une méthode de classification orientée objet pour la cartographie de l'occupation du sol : résultats sur ASTER et Landsat ETM / Christina Corbane in Revue Française de Photogrammétrie et de Télédétection, n° 175 (Septembre 2004)PermalinkIntérêt de la fusion d'images à haute résolution spatiale pour la classification de l'occupation du sol en milieu urbain / Yves Cornet in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkSpectral mixture analysis of the urban landscape in Indianapolis with Landsat ETM+ imagery / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)PermalinkUrban land-cover change analysis in central Puget Sound / M. Alberti in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)PermalinkClassification of hyperspectral remote sensing images with support vector machines / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)PermalinkInteractive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty / Arko Lucieer in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)PermalinkPhotogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)PermalinkA land cover classification product over France at 1 km resolution using Spot4-Vegetation data / K.S. Han in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkMapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units / A.M. Cingolani in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkA split model for extraction of subpixel impervious surface information / Y. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkWavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches / Nina S.N. Lam in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkAutomatic change detection by evidential fusion of change indices / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 91 n° 3 (30/06/2004)PermalinkReducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices / A.S. Rogers in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkExamining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case / D. Chen in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkNoise over water surfaces in Landsat TM images / J.E. Nichol in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkCartographie de la densité du bâti par analyse granulométrique des images de télédetection / Franck Chopin in Revue Française de Photogrammétrie et de Télédétection, n°173-174 (Juin 2004)PermalinkFusion on multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition / M. Gonzalez-Audicana in IEEE Transactions on geoscience and remote sensing, vol 42 n° 6 (June 2004)PermalinkDu pixel à la mosaïque / A.M. Bernard in SPOT magazine, n° 37 (01/06/2004)PermalinkPredicting forest age classes from high spatial resolution remotely sensed imagery using Voronoi polygon aggregation / T. Nelson in Geoinformatica, vol 8 n° 2 (June - August 2004)PermalinkWavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping / R. Pu in Remote sensing of environment, vol 91 n° 2 (30/05/2004)Permalink