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Image fusion by spatially adaptive filtering using downscaling cokriging / E. Pardo-Iguzquiza in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 66 n° 3 (May - June 2011) . - pp 337 - 346 Titre : Image fusion by spatially adaptive filtering using downscaling cokriging Type de document : Article/Communication Auteurs : E. Pardo-Iguzquiza, Auteur ; V. Rodriguez-Galiano, Auteur ; V. Chica-Olmo, Auteur ; P. Atkinson, Auteur Année de publication : 2011 Article en page(s) : pp 337 - 346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] filtrage numérique d'image [Termes IGN] fusion d'images [Termes IGN] image Landsat-TM [Termes IGN] interpolation non-linéaire [Termes IGN] krigeage [Termes IGN] lissage de données [Termes IGN] qualité géométrique (image) Résumé : (Auteur) The aim of this paper was to extend the method of downscaling cokriging for image fusion by making the method spatially adaptive in that the filter parameters (cokriging weights) can change across the image. The method can adapt itself to the usual statistical non-homogeneity (spatially variable mean, variance and correlation length) of a satellite sensor image that covers an area with different spatial patterns of geographical objects or different terrain types. The solution adopted was to estimate the models of covariances and cross-covariances (or semivariograms and cross-semivariograms) by the same procedure as described in Pardo-Iguzquiza et al. (2006) but with the method applied locally instead of globally. The correct implementation of this local estimation is the key for computational feasibility and prediction efficiency. Two parameters to be taken into account are the grid of locations on which a moving window is centred (local modelling is performed inside this window) and the size of this moving window. With respect to the latter parameter, there is a trade-off between a size small enough to make the procedure locally adaptive and large enough to produce reliable statistical estimates. The computational burden will impose limits to the distance between grid points on which the local moving window is centred. A case study with Landsat ETM+ images was used to show the implementation of the method and the result was evaluated using several statistics widely used for assessing the quality of a fused image, apart from its visual appearance. Numéro de notice : A2011-116 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.01.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30896 [article]

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081-2011031	SL	Revue	Centre de documentation	Revues en salle	Disponible

Predicting missing field boundaries to increase per-field classification accuracy / Paul Aplin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 1 (January 2004) . - pp 141 - 149 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 classification Résumé : (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 [article]

vol 18 n° 4 - March 1997 - Neural network in remote sensing (Bulletin de International Journal of Remote Sensing IJRS) / Remote sensing society

Public [n° ou bulletin]  est un bulletin de International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society (1980 -)   Titre : vol 18 n° 4 - March 1997 - Neural network in remote sensing Type de document : Périodique Auteurs : Remote sensing society, Auteur ; P. Atkinson, Éditeur scientifique ; A. Tatnall, Éditeur scientifique Année de publication : 1997 Importance : 404 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection Numéro de notice : 080-9704 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=3375 [n° ou bulletin]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-97041	RAB	Revue reliée	Centre de documentation	En réserve L003	Disponible