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Spatial accuracy of orthorectified Ikonos imagery and historical aerial photographs across five sites in China / H. Wang in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)
[article]
Titre : Spatial accuracy of orthorectified Ikonos imagery and historical aerial photographs across five sites in China Type de document : Article/Communication Auteurs : H. Wang, Auteur ; E.C. Ellis, Auteur Année de publication : 2005 Article en page(s) : pp 1893 - 1911 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Chine
[Termes IGN] détection de changement
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] photographie aérienne
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) High-resolution ( 1m) satellite imagery and archival World War 2 era (WW2) aerial photographs are currently available to support high-resolution longterm change measurements at sites across China. A major limitation to these measurements is the spatial accuracy with which this imagery can be orthorectified and co-registered. We orthorectified IKONOS 1m resolution GEO-format imagery and WW2 aerial photographs across five 100km2 rural sites in China with terrain ranging from flat to hilly to mountainous. Ground control points (GCPs) were collected uniformly across 100 km2 IKONOS scenes using a differential Global Positioning Systems (GPS) field campaign. WW2 aerial photos were co-registered to orthorectified IKONOS imagery using bundle block adjustment and rational function models. GCP precision, terrain relief and the number and distribution of GCPs significantly influenced image orthorectification accuracy. Root mean square errors (RMSEs) at GCPs for IKONOS imagery were Numéro de notice : A2005-256 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326684 En ligne : https://doi.org/10.1080/01431160512331326684 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27392
in International Journal of Remote Sensing IJRS > vol 26 n° 9 (May 2005) . - pp 1893 - 1911[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt A layered stereo matching algorithm using segmentation and global visibility constraints / M. Bleyer in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)
[article]
Titre : A layered stereo matching algorithm using segmentation and global visibility constraints Type de document : Article/Communication Auteurs : M. Bleyer, Auteur ; M. Gelautz, Auteur Année de publication : 2005 Article en page(s) : pp 128 - 150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] algorithme de décalage moyen
[Termes IGN] algorithme glouton
[Termes IGN] appariement de données localisées
[Termes IGN] compensation par moindres carrés
[Termes IGN] couche thématique
[Termes IGN] détection de partie cachée
[Termes IGN] extraction de couche
[Termes IGN] fenêtre (informatique)
[Termes IGN] graphe planaire
[Termes IGN] programmation par contraintes
[Termes IGN] segmentation d'image
[Termes IGN] visibilité
[Termes IGN] visualisation 3D
[Termes IGN] zone tamponRésumé : (Auteur) This work describes a stereo algorithm that takes advantage of image segmentation, assuming that disparity varies smoothly inside a segment of homogeneous colour and depth discontinuities coincide with segment borders. Image segmentation allows our method to generate correct disparity estimates in large untextured regions and precisely localize depth boundaries. The disparity inside a segment is represented by a planar equation. To derive the plane model, an initial disparity map is generated. We use a window-based approach that exploits the results of segmentation. The size of the match window is chosen adaptively. A segment's planar model is then derived by robust least squared error fitting using the initial disparity map. In a layer extraction step, disparity segments that are found to be similar according to a plane dissimilarity measurement are combined to form a single robust layer. We apply a modified mean-shift algorithm to extract clusters of similar disparity segments. Segments of the same cluster build a layer, the plane parameters of which are computed from its spatial extent using the initial disparity map. We then optimize the assignment of segments to layers using a global cost function. The quality of the disparity map is measured by warping the reference image to the second view and comparing it with the real image. Z-buffering enforces visibility and allows the explicit detection of occlusions. The cost function measures the colour dissimilarity between the warped and real views, and penalizes occlusions and neighbouring segments that are assigned to different layers. Since the problem of finding the assignment of segments to layers that minimizes this cost function is NP-complete, an efficient greedy algorithm is applied to find a local minimum. Layer extraction and assignment are alternately applied. Qualitative and quantitative results obtained for benchmark image pairs show that the proposed algorithm outperforms most state-of-the-art matching algorithms currently listed on the Middlebury stereo evaluation website. The technique achieves particularly good results in areas with depth discontinuities and related occlusions, where missing stereo information is substituted from surrounding regions. Furthermore, we apply the algorithm to a self-recorded image set and show 3D visualizations of the derived results. Numéro de notice : A2005-229 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.02.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.02.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27366
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 3 (May 2005) . - pp 128 - 150[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-05011 SL Revue Centre de documentation Revues en salle Disponible Land covers change detection at coarse spatial scales based on iterative estimation and previous state information / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 95 n° 4 (30/04/2005)
[article]
Titre : Land covers change detection at coarse spatial scales based on iterative estimation and previous state information Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; Catherine Ottle, Auteur ; Christiane Guérin, Auteur Année de publication : 2005 Article en page(s) : pp 464 - 479 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] bassin hydrographique
[Termes IGN] chaîne de Markov
[Termes IGN] détection de changement
[Termes IGN] estimation statistique
[Termes IGN] image à basse résolution
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] itération
[Termes IGN] occupation du sol
[Termes IGN] pixel
[Termes IGN] Saône (rivière)
[Termes IGN] sylvicultureRésumé : (Auteur) This study focuses on the use of coarse spatial resolution (CR, pixel size about 1kM2) remote sensing data for land cover change detection and qualification. Assuming the linear mixing model for CR pixels, the problem is that both the multitemporal class feature and the pixel composition in terms of classes are unknown. The proposed algorithm is then based on the iterative alternate estimation of each unknown variable. At each iteration, the class features are estimated, thanks to the knowledge of the composition of so pixels, and then the pixel composition is re-estimated knowing the class features. The subset of known composition pixels is the sub of pixels where no change has occurred, i.e. the previous land cover map is still valid. It is derived automatically by removing at each iteration the pixels where the new composition estimation disagrees with the former one. Finally, for the final estimation of the pixel composition, a Markovian chain model is used to guide the solution, i.e. the previous land cover map is used as a 'reminder' 'memory' term. This approach has been first validated using simulated data with different spatial resolution ratios. Then, the detection of forest change with SPOT-VGT-S 10 has been considered as an actual application case. Finally, the method has been applied to change detection on the Val de Saône watershed between the 1980s and 2000. The results obtained from three coarse resolution series, NOAA/AVHRR, SPOT/VGT-S 10 and SPOT/VGT-P, have been compared. Numéro de notice : A2005-187 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.01.011 En ligne : https://doi.org/10.1016/j.rse.2005.01.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27324
in Remote sensing of environment > vol 95 n° 4 (30/04/2005) . - pp 464 - 479[article]A method for detecting large-scale forest covers change using coarse spatial resolution imagery / R.H. Fraser in Remote sensing of environment, vol 95 n° 4 (30/04/2005)
[article]
Titre : A method for detecting large-scale forest covers change using coarse spatial resolution imagery Type de document : Article/Communication Auteurs : R.H. Fraser, Auteur ; A. Abuelgasim, Auteur ; R. Latifovic, Auteur Année de publication : 2005 Article en page(s) : pp 414 - 427 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Canada
[Termes IGN] classificateur paramétrique
[Termes IGN] classification par arbre de décision
[Termes IGN] couvert forestier
[Termes IGN] détection de changement
[Termes IGN] données auxiliaires
[Termes IGN] grande échelle
[Termes IGN] image à basse résolution
[Termes IGN] image à moyenne résolution
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] modèle de régression
[Termes IGN] régression
[Termes IGN] surveillance forestièreRésumé : (Auteur) Many large countries, including Canada, rely on earth observation as a practical and cost-effective means of monitoring their vast inland ecosystems. A potentially efficient approach is one that detects vegetation changes over a hierarchy of spatial scales ranging from coarse to fine. This paper presents a Change Screening Analysis Technique (Change-SAT) designed as a coarse filter to identify the location and timing of large (>5-1 0 kM2) forest cover changes caused by anthropogenic and natural disturbances at an annual, continental scale. The method uses change metrics derived from 1-km multi-temporal SPOT VEGETATION and NOAA AVHRR imagery (reflectance, temperature, and texture information) and ancillary spatial variables (proximity to active fires, roads, and forest tenures) in combination with logistic regression and decision tree classifiers. Major forest changes of interest include wildfires, insect defoliation, forest harvesting and flooding. Change-SAT was tested for 1998-2000 using an independent sample of change and no-change sites over Canada. Overall accuracy was 94% and commission error, especially critical for large-area change applications, was less than 1%. Regions identified as having major or widespread changes could be targeted for more detailed investigation and mapping using field visits, aerial survey or fine resolution EO methods, such as those being applied under Canadian monitoring programs. This multi-resolution approach could be used as pan of a forest monitoring system to report on carbon stocks and forest stewardship. Numéro de notice : A2005-186 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.014 En ligne : https://doi.org/10.1016/j.rse.2004.12.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27323
in Remote sensing of environment > vol 95 n° 4 (30/04/2005) . - pp 414 - 427[article]A comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
[article]
Titre : A comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification Type de document : Article/Communication Auteurs : C.W. Emerson, Auteur ; N. Siu-Ngan Lam, Auteur ; D.A. Quattrochi, Auteur Année de publication : 2005 Article en page(s) : pp 1575 - 1588 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Atlanta (Géorgie)
[Termes IGN] autocorrélation spatiale
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] ERDAS Imagine
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (Auteur) The accuracy of traditional multispectral maximum-likelihood image classification is limited by the multi-modal statistical distributions of digital numbers from the complex, heterogenous mixture of land cover types in urban areas. This work examines the utility of local variance, fractal dimension and Moran's I index of spatial autocorrelation in segmenting multispectral satellite imagery with the goal of improving urban land cover classification accuracy. Tools available in the ERDAS Imagine™ software package and the Image Characterization and Modeling System (ICAMS) were used to analyse Landsat ETM+ imagery of Atlanta, Georgia. Images were created from the ETM+ panchromatic band using the three texture indices. These texture images were added to the stack of multispectral bands and classified using a supervised, maximum likelihood technique. Although each texture band improved the classification accuracy over a multispectral only effort, the addition of fractal dimension measures is particularly effective at resolving land cover classes within urbanized areas, as compared to per-pixel spectral classification techniques. Numéro de notice : A2005-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326765 En ligne : https://doi.org/10.1080/01431160512331326765 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27341
in International Journal of Remote Sensing IJRS > vol 26 n° 8 (April 2005) . - pp 1575 - 1588[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05081 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Land covers update by supervised classification of segmented ASTER images / A.R.S. Marcal in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)PermalinkSPOT-4 Vegetation multi-temporal compositing for land cover change studies over tropical regions / João M.B. Carreiras in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)PermalinkAn unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images / Y. Bazi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)PermalinkIntegration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data / L.O. Jimenez in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)PermalinkObject-based evaluation of Lidar and multispectral data for automatic change detection in GIS databases / Volker Walter in GIS Geo-Informations-Systeme, vol 2005 n° 4 (April 2005)PermalinkReal-time speed limit sign recognition based on locally adaptive thresholding and depth-first-search / J. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 4 (April 2005)PermalinkUpdating a digital geographic database using Vehicle-borne Laser scanners and line cameras / H. Zhao in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 4 (April 2005)PermalinkRemote sensing image thresholding methods for determining landslide activity / P.L. Rosin in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)PermalinkA 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)PermalinkClassification orientée objet de la perméabilité des sols en zone urbaine à l'aide d'imagerie très haute résolution et de données laser scanner à Curitiba (Brésil) / A. Karsenty in XYZ, n° 102 (mars - mai 2005)Permalink