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Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)
[article]
Titre : Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery Type de document : Article/Communication Auteurs : S. Lee, Auteur ; R.G. Lathrop, Auteur Année de publication : 2005 Article en page(s) : pp 4885 - 4905 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse d'image numérique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] écosystème
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] orthoimage
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] zone urbaineRésumé : (Auteur) We examine the utility of linear mixture modelling in the sub-pixel analysis of Landsat Enhanced Thematic Mapper (ETM) imagery to estimate the three key land cover components in an urban/suburban setting: impervious surface, managed/unmanaged lawn and tree cover. The relative effectiveness of two different endmember sets was also compared. The interior endmember set consisted of the median pixel value of the training pixels of each land cover and the exterior endmember set was the extreme pixel value. As a means of accuracy assessment, the resulting land cover estimates were compared with independent estimates obtained from the visual interpretation of digital orthophotography and classified IKONOS imagery. Impervious surface estimates from the Landsat ETM showed a high degree of similarity (RMS error (RMSE) within approximately + 10 to 15%) to that obtained using high spatial resolution digital orthophotography and IKONOS imagery. The partition of the vegetation component into tree vs grass cover was more problematic due to the greater spectral similarity between these land cover types with RMSE of approximately + 12 to 22%. The interior endmember set appeared to provide better differentiation between grass and urban tree cover than the exterior endmember set. The ability to separate the grass vs tree components in urban vegetation is of major importance to the study of the urban/suburban ecosystems as well as watershed assessment. Numéro de notice : A2005-508 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500300222 En ligne : https://doi.org/10.1080/01431160500300222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27644
in International Journal of Remote Sensing IJRS > vol 26 n° 22 (November 2005) . - pp 4885 - 4905[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05221 RAB Revue Centre de documentation En réserve L003 Exclu du prêt 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 Estimation of subpixel target size for remotely sensed imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 42 n° 6 (June 2004)
[article]
Titre : Estimation of subpixel target size for remotely sensed imagery Type de document : Article/Communication Auteurs : C.I. Chang, Auteur ; H. Ren, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1309 - 1320 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse infrapixellaire
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] estimation statistique
[Termes IGN] identification automatique
[Termes IGN] méthode des moindres carrésRésumé : (Auteur) One of the challenges in remote sensing image processing is subpixel detection where the target size is smaller than the ground sampling distance, therefore, embedded in a single pixel. Under such a circumstance, these targets can be only detected spectrally at the subpixel level, not spatially as ordinarily conducted by classical image processing techniques. This paper investigates a more challenging issue than subpixel detection, which is the estimation of target size at the subpixel level. More specifically, when a subpixel target is detected, we would like to know "what is the size of this particular target within the pixel?" The proposed approach is to estimate the abundance fraction of a subpixel target present in a pixel, then find what portion it contributes to the pixel that can be used to determine the size of the subpixel target by multiplying the ground sampling distance. In order to make our idea work, the subpixel target abundance fraction must be accurately estimated to truly reflect the portion of a subpixel target occupied within a pixel. So, a fully constrained linear unmixing method is required to reliably estimate the abundance fractions of a subpixel target for its size estimation. In this paper, a recently developed fully constrained least squares linear unmixing is used for this purpose. Experiments are conducted to demonstrate the utility of the proposed method in comparison with an unconstrained linear unmixing method, onconstrained least squares method, two partially constrained last square linear unmixing methods, sum-to-one constrained least squares, and nonnegativity constrained least squares. Numéro de notice : A2004-263 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.826559 En ligne : https://doi.org/10.1109/TGRS.2004.826559 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26790
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 6 (June 2004) . - pp 1309 - 1320[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04061 RAB Revue Centre de documentation En réserve L003 Disponible 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)
[article]
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 solRésumé : (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
in ISPRS Journal of photogrammetry and remote sensing > vol 58 n° 1-2 (June - December 2003) . - pp 99 - 112[article]Réservation
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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 Linear spectral random mixture analysis for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
[article]
Titre : Linear spectral random mixture analysis for hyperspectral imagery Type de document : Article/Communication Auteurs : C.I. Chang, Auteur ; S.S. Chiang, Auteur ; J.A. Smith, Auteur ; I.W. Ginsberg, Auteur Année de publication : 2002 Article en page(s) : pp 375 - 392 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes indépendantes
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] analyse spectrale
[Termes IGN] classification non dirigée
[Termes IGN] image hyperspectraleRésumé : (Auteur) Independent component analysis (ICA) has shown success in blind source separation and channel equalization. Its applications to remotely sensed images have been investigated in recent years. Linear spectral mixture analysis (LSMA) has been widely used for subpixel detection and mixed pixel classification. It models an image pixel as a linear mixture of materials present in an image where the material abundance fractions are assumed to be unknown and nonrandom parameters. This paper considers an application of ICA to the LSMA, referred to as ICA-based linear spectral random mixture analysis (LSRMA), which describes an image pixel as a random source resulting from a random composition of multiple spectral signatures of distinct materials in the image. It differs from the LSMA in that the abundance fractions of the material spectral signatures in the LSRMA are now considered to be unknown but random independent signal sources. Two major advantages result from the LSRMA. First, it does not require prior knowledge of the materials to be used in the linear mixture model, as required for the LSMA. Second, and most importantly, the LSRMA models the abundance fraction of each material spectral signature as an independent random signal source so that the spectral variability of materials can be described by their corresponding abundance fractions and captured more effectively in a stochastic manner. The experimental results demonstrate that the proposed LSRMA provides an effective unsupervised technique for target detection and image classification in hyperspectral imagery. Numéro de notice : A2002-097 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.992799 En ligne : https://doi.org/10.1109/36.992799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22012
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 2 (February 2002) . - pp 375 - 392[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02021 RAB Revue Centre de documentation En réserve L003 Disponible 065-02022 RAB Revue Centre de documentation En réserve L003 Disponible Detection of interannual vegetation responses to climatic variability using AVIRIS data in a coastal savanna in California / M. Garcia in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)PermalinkHyperspectral subpixel target detection using the linear mixing model / D. Manolakis in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)Permalink