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Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data / U. Heiden in Remote sensing of environment, vol 111 n° 4 (28/12/2007)  

Public [article]  inRemote sensing of environment > vol 111 n° 4 (28/12/2007) . - pp 537 - 552 Titre : Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data Type de document : Article/Communication Auteurs : U. Heiden, Auteur ; Karl Segl, Auteur ; S. Roessner, Auteur ; H. Kaufmann, Auteur Année de publication : 2007 Article en page(s) : pp 537 - 552 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] Allemagne [Termes IGN] extraction automatique [Termes IGN] image HYMAP [Termes IGN] image hyperspectrale [Termes IGN] matrice de confusion [Termes IGN] méthode robuste [Termes IGN] milieu urbain [Termes IGN] surface du sol Résumé : (Auteur) Hyperspectral remote sensing data open up new opportunities for analyzing urban areas characterized by a large variety of spectrally distinct surface materials. Spectroscopic analysis using diagnostic spectral features yields the potential for automated identification and mapping of these materials. This study proposes a new approach for the determination and evaluation of such spectral features that are robust against spectral overlap between material classes and within-class variability. Analysis is based on comprehensive field and image spectral libraries of more than 21,000 spectra of surface materials widely-used in German cities. The robustness of the interactively defined spectral features is evaluated by a separability analysis. This method is performed based on confusion matrices for each material computed from classification results. For comparison this analysis is also performed for material-specific gray values of selected bands. The obtained commission and omission errors show superiority of the spectral features compared to gray values for most of the investigated materials. The results indicate that robust spectral features yield the potential for unsupervised detection of endmembers in hyperspectral image data. Copyright Elsevier Numéro de notice : A2007-521 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.04.008 En ligne : https://doi.org/10.1016/j.rse.2007.04.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28884 [article]

Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data / Karl Segl in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 58 n° 1-2 (June - December 2003) . - pp 99 - 112 Titre : Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data Type de document : Article/Communication Auteurs : Karl Segl, Auteur ; S. Roessner, Auteur ; U. Heiden, Auteur ; H. Kaufmann, Auteur Année de publication : 2003 Article en page(s) : pp 99 - 112 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse linéaire des mélanges spectraux [Termes IGN] biotope [Termes IGN] carte d'occupation du sol [Termes IGN] fusion d'images [Termes IGN] image DAIS [Termes IGN] image hyperspectrale [Termes IGN] image thermique [Termes IGN] milieu urbain [Termes IGN] morphologie mathématique [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] pixel [Termes IGN] reconnaissance de formes [Termes IGN] réflectance [Termes IGN] utilisation du sol Résumé : (Auteur) The urban environment is characterized by an intense multifunctional use of available spaces, where the preservation of open green spaces is of special importance. For this purpose, areawide urban biotope mapping based on CIR aerial photographs has been carried out for the large cities in Germany during the last 10 years. Because of dynamic urban development and high mapping costs, the municipal authorities are interested in effective methods for mapping urban surface cover types, which can be used for evaluation of ecological conditions in urban structures and supporting updates of biotope maps. Against this background, airborne hyperspectral remote sensing data of the DAIS 7915 instrument have been analyzed for a test site in the city of Dresden (Germany) with regard to their potential for automated materialoriented identification of urban surface cover types. Previous investigations have shown that the high spectral and spatial variabilities of these data require the development of special methods, which are capable of dealing with the resulting mixedpixel problem in its specific characteristics in urban areas. Earlier, methodological developments led to an approach based on a combination of spectral classification and pixeloriented unmixing techniques to facilitate sensible endmember selection based on the reflective bands of the DAIS instrument. This approach is now extended by a shapebased classification technique including the thermal bands of the DAIS instrument to improve the detection of buildings during the process of identifying seedling pixels, which represent the starting points for linear spectral unmixing. This new approach increases the reliability of differentiation between buildings and open spaces, leading to more accurate results for the spatial distribution of surface cover types. Thus, the new approach significantly enhances the exploitation of the information potential of the hyperspectral DAIS 7915 data for an areawide identification of urban surface cover types. Copyright ISPRS Numéro de notice : A2003-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(03)00020-0 En ligne : https://doi.org/10.1016/S0924-2716(03)00020-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22384 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-03032	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-03031	RAB	Revue	Centre de documentation	En réserve L003	Disponible