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Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates / Yasushi Yamaguchi in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)
[article]
Titre : Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates Type de document : Article/Communication Auteurs : Yasushi Yamaguchi, Auteur ; S. Tanaka, Auteur ; T. Odajima, Auteur ; T. Kamai, Auteur ; S. Tsuchida, Auteur Année de publication : 2003 Article en page(s) : pp 3523 - 3534 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] effondrement de terrain
[Termes IGN] GPS en mode différentiel
[Termes IGN] image multitemporelle
[Termes IGN] image panchromatique
[Termes IGN] image SPOT-HRV
[Termes IGN] Japon
[Termes IGN] mouvement de terrain
[Termes IGN] positionnement par GPSRésumé : (Auteur) A landslide movement was detected as geometric misregistration in image matching between two SPOT HRV panchromatic image data of different acquisition dates. The test site is an active landslide in Itaya area, Yamagata Prefecture, northern Japan. The average rate of the landslide movement is approximately 1 cm per day based upon differential GPS measurements. Pixel level and subpixel level image matching was applied to an HRV image pair obtained on I November 1987 and 29 October 1993. As a result, the landslide movement was successfully detected as misregistration vectors between the two HRV scenes. The displacement is approximately 20m to 30m over the 6-year period between 1987 and 1993 and is consistent with the landslide movement inferred from the GPS measurements. Numéro de notice : A2003-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160110111063 En ligne : https://doi.org/10.1080/01431160110111063 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22556
in International Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3523 - 3534[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-03181 RAB Revue Centre de documentation En réserve L003 Disponible Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo / Z. Hu in GIM international, vol 17 n° 9 (September 2003)
[article]
Titre : Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo Type de document : Article/Communication Auteurs : Z. Hu, Auteur Année de publication : 2003 Article en page(s) : pp 42 - 45 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] point d'appui
[Termes IGN] résiduRésumé : (Auteur) Since the pixel size of panchromatic Ikonos imagery is one metre, it is desirable that the planimetric and height error after georeferencing be smaller. Which method provides this high accuracy requirement ? Three processing methods have been tested : (1) Ikonos RPC parameters only, (2) an associated adjustment of RPC parameters with control points and (3) a strict geometric model based on affine transformation. The adjustment of RPC parameters with one or two control points improves accuracy significantly, especially in elevation. Using only five control points, the strict model yields very high accuracy of 5 to 12 cm in X,Y and Z with one pair of stereo images covering. This method does not need RPC coefficients, whilst the coordinate system can be any independent one. The strict model represents a new step forward, both in theory and application, for high-resolution Ikonos imagery processing. Numéro de notice : A2003-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22533
in GIM international > vol 17 n° 9 (September 2003) . - pp 42 - 45[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-03091 RAB Revue Centre de documentation Revues en salle Disponible A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas / A.K. Shackelford in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas Type de document : Article/Communication Auteurs : A.K. Shackelford, Auteur ; C.H. Davis, Auteur Année de publication : 2003 Article en page(s) : pp 1920 - 1932 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification floue
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] milieu urbain
[Termes IGN] texture d'imageRésumé : (Auteur) In this paper, we investigate the usefulness of high-resolution multispectral satellite imagery for classification of urban and suburban areas and present a fuzzy logic methodology to improve classification accuracy. Panchromatic and multispectral IKONOS image datasets are analyzed for two urban locations in this study. Both multispectral and pansharpened multispectral images are first classified using a traditional maximum-likelihood approach. Maximum-likelihood classification accuracies between 79 % to 87 % were achieved with significant misclassification error between the spectrally similar Road and Building urban land cover types. A number of different texture measures were investigated, and a length-width contextual measure is developed. These spatial measures were used to increase the discrimination between spectrally similar classes, thereby yielding higher accuracy urban land cover maps. Finally, a hierarchical fuzzy classification approach that makes use of both spectral and spatial information is presented. This technique is shown to increase the discrimination between spectrally similar urban land cover classes and results in classification accuracies that are 8 % to I I% larger than those from the traditional maximumlikelihood approach. Numéro de notice : A2003-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814627 En ligne : https://doi.org/10.1109/TGRS.2003.814627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22544
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1920 - 1932[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Improving the performance of classifiers in high-dimensional remote sensing applications: an adaptive resampling strategy for error-prone exemplars / C. Bachmann in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : Improving the performance of classifiers in high-dimensional remote sensing applications: an adaptive resampling strategy for error-prone exemplars Type de document : Article/Communication Auteurs : C. Bachmann, Auteur Année de publication : 2003 Article en page(s) : pp 2101 - 2112 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classificateur
[Termes IGN] échantillonnage d'image
[Termes IGN] erreur de classification
[Termes IGN] image hyperspectrale
[Termes IGN] occupation du sol
[Termes IGN] optimisation (mathématiques)Résumé : (Auteur) In the past, "active learning" strategies have been proposed for improving the convergence and accuracy of statistical classifiers. However, many of these approaches have large storage requirements or unnecessarily large computational burdens and, therefore, have been impractical for the largescale databases typically, found in remote sensing, especially hyperspectral applications. In this paper, we develop a practical online approach with only modest storage requirements. The new approach improves the convergence rate associated with the optimization of adaptive classifiers, especially in highdimensional remote sensing data. We demonstrate the new approach using PROBE2 hyperspectral imagery and find convergence time improvements of two orders of magnitude in the optimization of landcover classifiers. Numéro de notice : A2003-254 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.817207 En ligne : https://doi.org/10.1109/TGRS.2003.817207 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22549
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 2101 - 2112[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Spectral resolution requirements for mapping urban areas / Martin Herold in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : Spectral resolution requirements for mapping urban areas Type de document : Article/Communication Auteurs : Martin Herold, Auteur ; M.E. Gardner, Auteur ; D.A. Roberts, Auteur Année de publication : 2003 Article en page(s) : pp 1907 - 1919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] cartographie urbaine
[Termes IGN] classification
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image optique
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classificationRésumé : (Auteur) This study evaluated how spectral resolution of spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a measure of spectral separability to determine a most suitable subset of 14 AVIRIS bands for urban mapping. We evaluated the performance of this spectral setting versus common multispectral sensors such as Ikonos by assessing classification accuracy for 26 urban land cover classes. Significant limitations for current multispectral sensors were identified, where the location and broadband character of the spectral bands only marginally resolved the complex spectral characteristics of the urban environment, especially for built surface types. However, the AVIRIS classification accuracy did not exceed 66.6% for 22 urban cover types, primarily due to spectral similarities of specific urban materials and high withinclass variability. Numéro de notice : A2003-248 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815238 En ligne : https://doi.org/10.1109/TGRS.2003.815238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22543
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1907 - 1919[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible A comparison of BRDF models for the normalization of satellite optical data to a standard sun-target-sensor geometry / R. Latifovic in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)PermalinkRemote sensing techniques to assess water quality / J.C. Ritchie in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)PermalinkAnalysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an Airborne (AVIRIS) and a spaceborne (Hyperion) sensor / M.L. Smith in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkA CCD camera-based hyperspectral imaging system for stationary and airborne applications / C. Yang in Geocarto international, vol 18 n° 2 (June - August 2003)PermalinkComparative alteration mineral mapping using visible to shortwave infrared (0.4-2.4 um) Hyperion, ALI, and ASTER imagery / B. Hubbard in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkDetection of building outlines based on the fusion of SAR and optical features / Florence Tupin in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkFusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features / C.M. Chen in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkFusion 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)PermalinkProcessing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkSatellite multi-sensor data analysis of urban surface temperatures and Landcover / B. Dousset in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)Permalink