ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) . vol 63 n° 3Paru le : 01/05/2008 ISBN/ISSN/EAN : 0924-2716 |
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Ajouter le résultat dans votre panierComparison of remotely sensed water stages from LiDAR, topographic contours and SRTM / G. Schumann in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM Type de document : Article/Communication Auteurs : G. Schumann, Auteur ; P. Matgen, Auteur ; M.E.J. Cutler, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 283 - 296 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] cartographie des risques
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] image SRTM
[Termes IGN] inondation
[Termes IGN] lit majeur
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) Digital elevation models (DEMs) are at the core of most environmental process modelling and disaster management. In flood inundation modelling, surface elevation constitutes one of the most important model boundary conditions. With the availability of high-precision DEMs (e.g. LiDAR) and globally available DEMs (e.g. SRTM InSAR) a big step seems to have been taken in terms of hydraulic modelling application or hydraulic information retrieval from such DEMs, with high potential in particular for ungauged basins. Comparative studies exist that report on both the validation of different remotely sensed elevation sources and their use for both hydrologic and hydraulic studies. To contribute to the existing literature on DEMs and hydraulic information, this study aims at comparing water stages derived from LiDAR, topographic contours and SRTM. A flood inundation model calibrated with distributed ground-surveyed high water marks is used to evaluate the remotely sensed water stages. The results show that, as expected, LiDAR derived water stages exhibit the lowest RMSE (0.35 m), followed by the contour DEM (0.7 m). A relatively good performance of the SRTM (1.07 m), which is possibly linked to the low-lying floodplain, suggests that the SRTM is a valuable source for initial vital flood information extraction in large, homogeneous floodplains. Subsequent 3D flood mapping from remotely sensed water stages confirms this but also indicates that flood mapping with low-resolution, low-precision surface elevation data is hardly possible on the small scale, as the accuracy of the resulting map depends too much on DEM uncertainties and errors both in the horizontal and vertical directions. Copyright ISPRS Numéro de notice : A2008-212 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.09.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.09.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29207
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 283 - 296[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Image-based 3D surface reconstruction by combination of photometric, geometric, and real-aperture methods / Pablo d' Angelo in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Image-based 3D surface reconstruction by combination of photometric, geometric, and real-aperture methods Type de document : Article/Communication Auteurs : Pablo d' Angelo, Auteur ; C. Wöhler, Auteur Année de publication : 2008 Article en page(s) : pp 297 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] données de terrain
[Termes IGN] gradient de pente
[Termes IGN] pente
[Termes IGN] photométrie
[Termes IGN] polarisation
[Termes IGN] profondeur
[Termes IGN] programmation non linéaire
[Termes IGN] reconstruction 3D
[Termes IGN] réflectanceRésumé : (Auteur) An image-based 3D surface reconstruction method based on simultaneous evaluation of intensity and polarisation features (shape from photopolarimetric reflectance) and its combination with absolute depth data is introduced in this article. The proposed technique is based on the analysis of single or multiple intensity and polarisation images. To compute the surface gradients, we present a global optimisation method based on a variational framework and a local optimisation method based on solving a set of non-linear equations individually for each image pixel. These approaches are suitable for strongly non-Lambertian surfaces and those of diffuse reflectance behaviour and can also be adapted to surfaces of non-uniform albedo. We describe how independently measured absolute depth data is integrated into the shape from photopolarimetric reflectance framework in order to increase the accuracy of the 3D reconstruction result. In this context we concentrate on dense but noisy depth data obtained by depth from defocus and on sparse but accurate depth data obtained by stereo or structure from motion analysis. We show that depth from defocus information should preferentially be used for initialising the optimisation schemes for the surface gradients. For integration of sparse depth information, we suggest an optimisation scheme that simultaneously adapts the surface gradients to the measured intensity and polarisation data and to the surface slopes implied by depth differences between pairs of depth points. In principle, arbitrary sources of depth information are possible in the presented framework. Experiments on synthetic and on real-world data reveal that while depth from defocus is especially helpful for providing an initial estimate of the surface gradients and the albedo in the absence of a-priori knowledge, integration of stereo or structure from motion information significantly increases the 3D reconstruction accuracy. In our real-world experiments, we regard the scenarios of 3D reconstruction of raw forged iron surfaces in the domain of industrial quality inspection and the generation of a digital elevation model of a section of the lunar surface in the context of space-based planetary exploration. Copyright ISPRS Numéro de notice : A2008-213 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.09.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.09.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29208
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 297 - 321[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Topographic data bases in the product generation of IRS-P6 Liss-4 imagery / M.V. Jyothi in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Topographic data bases in the product generation of IRS-P6 Liss-4 imagery Type de document : Article/Communication Auteurs : M.V. Jyothi, Auteur ; P. Radhadevi, Auteur ; S.S. Solanki, Auteur Année de publication : 2008 Article en page(s) : pp 322 - 332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données topographiques
[Termes IGN] image à résolution subdecamétrique
[Termes IGN] image IRS-LISS
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] MNS GTOPO30
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) A continuous and autonomous co-registration and geo-location of image data from multiple sensors with widely varying view angles and resolution is one of the unique challenges of IRS-P6 data processing. The Liss-4 camera is capable of imaging in either multi-spectral or panchromatic modes with steerability up to +/- 27°. As the satellite sweeps longer strips with oblique viewing configuration, data product generation requires an elevation database to accommodate the errors due to terrain topography. SRTM, GTOPO30, DCW etc. are becoming hidden information to product generation schemes. In this paper, we analyze and justify the requirement of inclusion of a global DEM in the product generation system for Liss-4 data. In the first part of the study, after a brief introduction of sensor model, comparison of elevation from SRTM and GTOPO30 is made which leads towards a conclusion that GTOPO30 is adequate for improving the accuracy. The second part deals with the impact of GTOPO30 on geometric accuracy. Thirdly we analyze the terrain effects on band-to-band registration of Liss-4 multispectral data. A perfect band-to-band registration cannot be achieved without inclusion of digital elevation model. Many Liss-4 data sets with different tilts that cover terrain patches with flat, rolling and highly undulating nature are studied and the results reported. Copyright ISPRS Numéro de notice : A2008-214 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29209
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 322 - 332[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Urban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification / Y.O. Ouma in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Urban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification Type de document : Article/Communication Auteurs : Y.O. Ouma, Auteur ; R. Tateishi, Auteur Année de publication : 2008 Article en page(s) : pp 333 - 351 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme de filtrage
[Termes IGN] analyse multirésolution
[Termes IGN] anisotropie
[Termes IGN] arbre (flore)
[Termes IGN] classificateur non paramétrique
[Termes IGN] classification non dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] extraction du sursol
[Termes IGN] filtrage non linéaire
[Termes IGN] image Quickbird
[Termes IGN] milieu urbain
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Due to the more heterogeneous spectral-radiometric characteristics within urban land-use/cover units in very-high spatial resolution imagery, the traditional pixel-wise statistical and monoscale based classification approaches do not lead to satisfactory results. The main drawback of these methods is that they neglect the shape and context aspects of the image information, which are among the main clues for information extraction at very-high spatial resolutions. This paper presents a pre-classification filtering strategy based on unsupervised multiresolution non-linear image filtering that combines spectral and textural (spectex) image characteristics. In a multiscale model, the local texture characteristics are extracted via wavelet decomposition. The multiscale wavelets texture is then used to control the multiresolution spectral filtering process using the non-linear anisotropic diffusion approach. From the multiresolution non-linear filtering procedure, scale sub-bands suitable for urban-trees extraction are selected. The selected bands are integrated with a normalized difference vegetation index (NDVI) and a principal components transformation (PCT) for classification using a decision-tree (DT) non-parametric classifier. The DT results are compared with the statistical maximum-likelihood classifier. It has been demonstrated that with Quickbird imagery a classification based on the filtered imagery improved the extraction accuracy of urban-trees by 11.7% using the parametric maximum-likelihood classifier, and by 22.5% using the non-parametric decision-tree classifier. This is an increase from a 70.8% extraction accuracy when the respective methods are not used. The results further indicate that the non-linear filtering approach is superior to the linear (median) filtering technique, by 20.8% with respect to classification accuracy. Copyright ISPRS Numéro de notice : A2008-220 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.10.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.10.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29215
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 333 - 351[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Adjustability and error propagation for true replacement sensor models / C. Puatanachokchai in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Adjustability and error propagation for true replacement sensor models Type de document : Article/Communication Auteurs : C. Puatanachokchai, Auteur ; E.M. Mikhail, Auteur Année de publication : 2008 Article en page(s) : pp 352 - 364 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] déformation d'image
[Termes IGN] matrice de covariance
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle physique
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] propagation d'erreur
[Termes IGN] simulation d'image
[Termes IGN] valeur propreRésumé : (Auteur) True replacement sensor models, or TRSM, are those based on construction of dense object–image grids using the rigorous physical sensor model. Photogrammetric exploitation of image sensing applies the TRSMs since, like the physical models, they possess the same three important characteristics: (1) Accurate ground-to-image function; (2) Rigorous error propagation that is essentially of the same accuracy as the physical model; and, (3) Adjustability, or the ability to upgrade the TRSM parameters when additional control information becomes available after replacing the physical model. The ground-to-image functions are commonly achieved via fitting rational polynomial coefficients, RPC, to the dense grids which encompass the entire ground volume covered by the image under consideration. A novel approach for rigorous error propagation, without using added parameters, has been developed at Purdue University. The approach resolves the problem of rank deficiency of the covariance matrix associated with RPC by the eigen-values and eigen-vectors approach. This paper summarizes the new approach and presents further development to address the adjustability characteristic. Results from its application to imagery from an aerial frame camera, an airborne pushbroom sensor, and a spaceborne linear array sensor, are presented for both simulated as well as real image data. The results show essentially negligible differences when compared to those from the rigorous physical sensor models. Copyright ISPRS Numéro de notice : A2008-221 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.10.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29216
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 352 - 364[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling / Florent Lafarge in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)
[article]
Titre : Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Xavier Descombes, Auteur ; Josiane Zerubia, Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2008 Article en page(s) : pp 365 - 381 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection d'objet
[Termes IGN] détection du bâti
[Termes IGN] empreinte
[Termes IGN] extraction automatique
[Termes IGN] image à haute résolution
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] processus ponctuel marquéRésumé : (Auteur) In this paper, we present an automatic building extraction method from Digital Elevation Models based on an object approach. First, a rough approximation of the building footprints is realized by a method based on marked point processes: the building footprints are modelled by rectangle layouts. Then, these rectangular footprints are regularized by improving the connection between the neighbouring rectangles and detecting the roof height discontinuities. The obtained building footprints are structured footprints: each element represents a specific part of an urban structure. Results are finally applied to a 3D-city modelling process. Copyright ISPRS Numéro de notice : A2008-222 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.09.003 Date de publication en ligne : 20/02/2008 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.09.003 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29217
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 3 (May - June 2008) . - pp 365 - 381[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08031 SL Revue Centre de documentation Revues en salle Disponible