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Co-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation / P. Boccardo in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)
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Titre : Co-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation Type de document : Article/Communication Auteurs : P. Boccardo, Auteur ; Enrico Borgogno Mondino, Auteur ; et al., Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 74 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] homologie
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] limite de résolution géométrique
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] superposition d'imagesRésumé : (Auteur) To evaluate accuracy of low resolution vegetation mapping for hydrological purposes, a comparative study of NDVI images derived from MODIS and Landsat 7 ETM+ data has been done. Main goal is to understand how effective MODIS images can be for vegetation characterization on large areas, as compared to the Landsat 7 ETM+ ones. In this paper a methodology is proposed with the aim of measuring the difference between NDVI values derived from the two different data, considering synthetic parameters and investigating their dependency on the geometric resolution of the images. Great attention was paid to the problem of the geometric co-registration of the two types of data. This is a very sensitive parameter for the subsequent analysis. A mixed approach was adopted: images were firstly orthoprojected to eliminate sensor geometry and relief displacement effects; subsequently, a refining image-to-image co-registration procedure was carried out through a homographic transformation implemented in a self-developed routine. Two pairs of contemporary images (MODIS and Landsat 7) were used as benchmarks for our tests. Simplified procedures aimed at calibrating images and at removing atmospheric noise were performed. The resulting corrected images were used to calculate NDVI images. These ones (two pairs) were then compared through a statistical approach in order to investigate how a different geometric resolution can influence the NDVI values. The proposed approach is not a traditional image based (matrix comparison) but a new one. NDVI value correspondences were considered between the MODIS pixel and the group of Landsat pixels belonging to the polygon which represents the considered MODIS pixel in the Landsat image space. Statistics extracted on-the-fly from these Landsat pixels were used to investigate in depth the relationship between them and NDVI value of the corresponding MODIS pixel. NDVI differences were calculated between the single NDVI MODIS values and a synthetic parameter (mean value) of the homologous Landsat pixel group. A direct comparison between the NDVI values obtained from MODIS and Landsat 7 images has shown a systematic error that can be read as bias (MODIS NDVI over estimation). This led the authors to determine a suitable model in order to eliminate the bias, whose presence would have conditioned later comparisons. Original MODIS image was then corrected through the defined model. This has been designed to be suitable for any MODIS image acquired over the same area (parameterization was used). New NDVI differences were calculated using the corrected MODIS images and the previous Landsat 7 ones. In order to investigate the nature of the residual differences and to try to recognize the critical MODIS pixels, some considerations were made concerning the statistics of each corresponding group of Landsat pixels. A classification of the MODIS pixel was generated according to the behaviour of their differences with respect to the adopted statistics. Copyright SFPT Numéro de notice : A2006-624 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS1-04.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28347
in Revue Française de Photogrammétrie et de Télédétection > n° 182 (Juin 2006) . - pp 74 - 79[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-06021 RAB Revue Centre de documentation En réserve L003 Disponible Localized soft classification for super-resolution mapping of the shoreline / Aidy M. Muslim in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)
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Titre : Localized soft classification for super-resolution mapping of the shoreline Type de document : Article/Communication Auteurs : Aidy M. Muslim, Auteur ; Giles M. Foody, Auteur ; P.M. Atkinson, Auteur Année de publication : 2006 Article en page(s) : pp 2271 - 2285 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse infrapixellaire
[Termes IGN] carte topographique
[Termes IGN] histogramme
[Termes IGN] image Ikonos
[Termes IGN] Malaisie
[Termes IGN] trait de côteRésumé : (Auteur) The Malaysian shoreline is dynamic and constantly changing in location. Although the shoreline may be mapped accurately from fine spatial resolution imagery, this is an impractical approach for use over large areas. An alternative approach using coarse spatial resolution satellite sensor imagery is to fit a shoreline boundary at sub-pixel scale. This paper evaluates the use of soft classification and super-resolution mapping techniques to accurately map the shoreline. A localized soft classification approach was used to provide an accurate prediction of the thematic composition of each image pixel. This involves the use of training statistics derived locally rather than globally in the classification. Using the derived class proportion information the shoreline boundary was determined within the pixels using super-resolution techniques. Results show that by using a localized approach in the prediction of the pixel's thematic class composition, the accuracy of shoreline prediction was increased. Notably, the use of the localized approach resulted in the shoreline with an rms error of Numéro de notice : A2006-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500396741 En ligne : https://doi.org/10.1080/01431160500396741 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28027
in International Journal of Remote Sensing IJRS > vol 27 n° 11 (June 2006) . - pp 2271 - 2285[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-06061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter / M. Choi in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
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Titre : A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter Type de document : Article/Communication Auteurs : M. Choi, Auteur Année de publication : 2006 Article en page(s) : pp 1672 - 1682 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] échantillonnage d'image
[Termes IGN] fusion d'images
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) A useful technique in various applications of remote sensing involves the fusion of panchromatic and multispectral satellite images. Recently, Tu et al. introduced a fast intensity-hue-saturation (IHS) fusion method. Aside from its fast computing capability for fusing images, this method can extend traditional three-order transformations to an arbitrary order. It can also quickly merge massive volumes of data by requiring only resampled multispectral data. However, fast IHS fusion also distorts color in the same way as fusion processes such as the IHS fusion technique. To overcome this problem, the minimization problem for a fast IHS method was considered and the method proposed by Gonzalez-Audicana et al. is presented as a solution. However, the method is not efficient enough to quickly merge massive volumes of data from satellite images. The author therefore uses a tradeoff parameter in a new approach to image fusion based on fast IHS fusion. This approach enables fast, easy implementation. Furthermore, the tradeoff between the spatial and spectral resolution of the image to be fused can be easily controlled with the aid of the tradeoff parameter. Therefore, with an appropriate tradeoff parameter, the new approach provides a satisfactory result, both visually and quantitatively. Copyright IEEE Numéro de notice : A2006-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.869923 En ligne : https://doi.org/10.1109/TGRS.2006.869923 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27989
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 6 (June 2006) . - pp 1672 - 1682[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06061 RAB Revue Centre de documentation En réserve L003 Disponible Subpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization / S. Lee in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)
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Titre : Subpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization Type de document : Article/Communication Auteurs : S. Lee, Auteur ; R.G. Lathrop, Auteur Année de publication : 2006 Article en page(s) : pp 1642 - 1654 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse infrapixellaire
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] apprentissage automatique
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte de Kohonen
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] surface imperméable
[Termes IGN] végétation
[Termes IGN] zone urbaineRésumé : (Auteur) This paper examines the subpixel analysis of Landsat ETM+ data to estimate the percent cover of impervious surface, lawn, and woody tree cover in typical urban/suburban land-scapes. By combining Self-Organizing Map (SOM), Learning Vector Quantization (LVQ), and Gaussian Mixture Model (GMM) methods, the posterior probability of the various land cover components were estimated for each pixel as a means of sub-pixel analysis. The estimation of impervious surface and the differentiation of urban vegetation grass versus woody tree coverage the main objectives of this paper. Overall, the output estimates compared favorably with those obtained using higher spatial resolution aerial photograph and IKONOS satellite image and traditional hard classification techniques as independent reference. The SOM-LVQ-GMM mode! showed a moderate degree of similarity in the estimates of impervious surface [root mean-square errors (RMSEs) of Numéro de notice : A2006-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.869984 En ligne : https://doi.org/10.1109/TGRS.2006.869984 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27988
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 6 (June 2006) . - pp 1642 - 1654[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06061 RAB Revue Centre de documentation En réserve L003 Disponible High-resolution image fusion: methods to preserve spectral and spatial resolution / A. Svab in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
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Titre : High-resolution image fusion: methods to preserve spectral and spatial resolution Type de document : Article/Communication Auteurs : A. Svab, Auteur Année de publication : 2006 Article en page(s) : pp 565 - 572 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] fusion d'images
[Termes IGN] image à haute résolution
[Termes IGN] image à résolution submétrique
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] qualité d'image
[Termes IGN] transformation de Brovey
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) The main topic of this paper is high-resolution image fusion. The techniques used to merge high spatial resolution panchromatic images with high spectral resolution multispectral images are described. The most commonly used image fusion methods that work on the principle of component substitution (intensity-hue-saturation method (ms), Brovey transform (bt), and multiplicative method (multi)) have been applied to Ikonos, QuickBird, Landsat, and aerial orthophoto images. Visual comparison, histogram analyses, correlation coefficients, and difference images were used in order to analyze the spectral and spatial qualities of the fused images. It was discovered that for preserving spectral characteristics, one needs a high level of similarity between the panchromatic image and the respective multispectral intensity. In order to achieve this, spectral sensitivity of multispectral and panchromatic data was performed, and digital values in individual bands have been modified before fusion. It has also been determined that spatial resolution is best preserved in the event of an unchanged input panchromatic image. Numéro de notice : A2006-152 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.5.565 En ligne : https://doi.org/10.14358/PERS.72.5.565 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27879
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 5 (May 2006) . - pp 565 - 572[article]MTF-tailored multiscale fusion of high-resolution multispectral and panchromatic imagery / B. Aiazzi in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
PermalinkMulti-image matching for DSM generation from Ikonos imagery / Li Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)
PermalinkSurface mapping using image triplets: case studies benefit assessment in comparison to stereo image processing / H. Raggam in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)
PermalinkConsideration of smoothing techniques for hyperspectral remote sensing / C. Vaiphasa in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)
PermalinkA new wavelet-based image fusion method for remotely sensed data / C. Yunhao in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)
PermalinkSpectral or spatial quality for used satellite imagery? A trade-off solution using the wavelet a trous algorithm / M. Lillo-Saavedra in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)
PermalinkInterrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)
PermalinkInterrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 2: the natural environment / M.E. Hodgson (29/03/2006)
PermalinkInterprétation de scènes urbaines à partir d'images satellitaires THR : reconstruction de facettes 3D et optimisation globale 3D / Nesrine Chehata in Bulletin d'information scientifique et technique de l'IGN, n° 75 (mars 2006)
PermalinkRoad extraction based on fuzzy logic and mathematical morphology from pan-sharpened Ikonos images / Ali Mohammadzadeh in Photogrammetric record, vol 21 n° 113 (March - May 2006)
PermalinkContextual reconstruction of cloud-contaminated multitemporal multispectral image / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 44 n° 2 (February 2006)
PermalinkNoise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage / H. Othman in IEEE Transactions on geoscience and remote sensing, vol 44 n° 2 (February 2006)
PermalinkPermalinkAn inverse radiative transfer model to extract ground spectral reflectance of urban areas / Sophie Lacherade (2006)
PermalinkCompression des images hyperspectrales et son impact sur la qualité des données / E. Christophe (2006)
PermalinkPermalinkEtude de différents facteurs influant les classifications d'images multi-résolution / F. Kazemipour (2006)
PermalinkExtraction of tidal channel networks from aerial photographs alone and combined with laser altimetry / Bharat Lohani in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
PermalinkOn the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation / Y.O. Ouma in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
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