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Object-oriented methods for habitat mapping at multiple scales : Case studies from Northern Germany and Wye Downs, UK / Michaël Bock in Journal for nature conservation, vol 13 n° 2-3 (July 2005)
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Titre : Object-oriented methods for habitat mapping at multiple scales : Case studies from Northern Germany and Wye Downs, UK Type de document : Article/Communication Auteurs : Michaël Bock, Auteur ; Panteleimon Xofis, Auteur ; Jonathan Mitchley, Auteur ; Godela Rossner, Auteur ; Michael Wissen, Auteur Année de publication : 2005 Article en page(s) : pp 75 - 89 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification orientée objet
[Termes IGN] écotone
[Termes IGN] habitat (nature)
[Termes IGN] image à très haute résolution
[Termes IGN] image aérienne
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] prairie
[Termes IGN] Schleswig-Holstein (Allemagne)
[Termes IGN] site Natura 2000
[Termes IGN] zone humide
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) This paper presents an application of object-oriented techniques for habitat classification based on remotely sensed images and ancillary data. The study reports the results of habitat mapping at multiple scales using Earth Observation (EO) data at various spatial resolutions and multi temporal acquisition dates. We investigate the role of object texture and context in classification as well as the value of integrating knowledge from ancillary data sources. Habitat maps were produced at regional and local scales in two case studies; Schleswig-Holstein, Germany and Wye Downs, United Kingdom. At the regional scale, the main task was the development of a consistent object-oriented classification scheme that is transferable to satellite images for other years. This is demonstrated for a time series of Landsat TM/ETM+ scenes. At the local scale, investigations focus on the development of appropriate object-oriented rule networks for the detailed mapping of habitats, e.g. dry grasslands and wetlands using very high resolution satellite and airborne scanner images. The results are evaluated using statistical accuracy assessment and visual comparison with traditional field-based habitat maps. Whereas the application of traditional pixel-based classification result in a pixelised (salt and pepper) representation of land cover, the object-based classification technique result in solid habitat objects allowing easy integration into a vector-GIS for further analysis. The level of detail obtained at the local scale is comparable to that achieved by visual interpretation of aerial photographs or field-based mapping and also retains spatially explicit, fine scale information such as scrub encroachment or ecotone patterns within habitats. Numéro de notice : A2005-597 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.jnc.2004.12.002 En ligne : http://dx.doi.org/10.1016/j.jnc.2004.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80352
in Journal for nature conservation > vol 13 n° 2-3 (July 2005) . - pp 75 - 89[article]On merging high- and low-resolution DEMs from TOPSAR and SRTM using a prediction-error filter / S. Yun in IEEE Transactions on geoscience and remote sensing, vol 43 n° 7 (July 2005)
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Titre : On merging high- and low-resolution DEMs from TOPSAR and SRTM using a prediction-error filter Type de document : Article/Communication Auteurs : S. Yun, Auteur ; J. Ji, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1682 - 1693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] artefact
[Termes IGN] erreur de classification
[Termes IGN] fusion d'images
[Termes IGN] image à haute résolution
[Termes IGN] image radar
[Termes IGN] image TOPSAR
[Termes IGN] interpolation
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) High-resolution digital elevation models (DEMs) are often limited in spatial coverage; they also may possess systematic artifacts when compared to comprehensive low-resolution maps. Here we correct artifacts and interpolate regions of missing data in airborne Topographic Synthetic Aperture Radar (TOPSAR) DEMs using a low-resolution Shuttle Radar Topography Mission (SRTM) DEM. We use a prediction error (PE) filter to interpolate and fill missing data so that the interpolated regions have the same spectral content as the valid regions of the TOPSAR DEM. The SRTM DEM is used as an additional constraint in the interpolation. We use cross-validation methods to obtain the optimal weighting for the PE filter and SRTM DEM constraints. Numéro de notice : A2005-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.848415 En ligne : https://doi.org/10.1109/TGRS.2005.848415 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27444
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 7 (July 2005) . - pp 1682 - 1693[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05071 RAB Revue Centre de documentation En réserve L003 Disponible Structural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques / D.H.A. Khudhairy in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)
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Titre : Structural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques Type de document : Article/Communication Auteurs : D.H.A. Khudhairy, Auteur ; I. Caravaggi, Auteur ; S. Giada, Auteur Année de publication : 2005 Article en page(s) : pp 825 - 835 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] Brest
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] eCognition
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] milieu urbain
[Termes IGN] morphologie mathématique
[Termes IGN] Palestine
[Termes IGN] segmentation d'imageRésumé : (Auteur) Recent improvements in the spatial resolution of commercial satellite imagery make it possible to apply very high-resolution (VHR) satellite data for assessing structural damage in the aftermath of humanitarian crises, such as, armed conflicts. Visual interpretation of pre- and post-crisis very high-resolution satellite imagery is the most straightforward method for discriminating structural damage and assessing its extent. However, the feasibility of using visual interpretation alone diminishes in the cases of large and dense urban settlements and spatial resolutions in the range of 2 m to 3 meters and larger. Visual interpretation can be further complicated at spatial resolutions greater than 1 m if accompanied by shadow formation and differences in sensor and solar conditions between the pre- and post-conflict images. In this study, we address these problems through investigating the use of traditional change techniques, namely, image differencing and principle component analysis, with an object-oriented image classification software, e-Cognition. Pre-conflict Ikonos (2 m resolution) images of Jenin in the Palestinian territories and Brest (1 m resolution) in FYROM were classified using the e-Cognition software. Thereafter, the pre-conflict classification was used to guide the classification, using e-Cognition, of the pixel-based change detection analysis. The second part of the study examines the feasibility of using mathematical morphological operators to automatically identify likely structurally damaged zones in dense urban settings. The overall results are promising and show that object-oriented segmentation and classification systems facilitate the interpretation of change detection results derived from very high-resolution (1 m and 2 m) commercial satellite data. The results show that object-oriented classification techniques enhance quantitative analysis of traditional pixel-based change detection applied to very high-resolution satellite data and facilitate the interpretation of changes in urban features. Finally, the results suggest that mathematical morphological methods are a potential new avenue for automatically extracting likely damaged zones from very high-resolution satellite imagery in the aftermath of disasters. Numéro de notice : A2005-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.7.825 En ligne : https://doi.org/10.14358/PERS.71.7.825 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27434
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 7 (July 2005) . - pp 825 - 835[article]The Respond Project: geo-information for humanitarian aid / L. Holledig in GIM international, vol 19 n° 7 (July 2005)
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Titre : The Respond Project: geo-information for humanitarian aid Type de document : Article/Communication Auteurs : L. Holledig, Auteur Année de publication : 2005 Article en page(s) : pp 47 - 49 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] cartographie d'urgence
[Termes IGN] catastrophe naturelle
[Termes IGN] Commission Européenne
[Termes IGN] Copernicus (programme européen)
[Termes IGN] données localisées
[Termes IGN] image satellite
[Termes IGN] internet
[Termes IGN] organisation non gouvernementaleRésumé : (Auteur) The Respond project is intended to develop into a sustainable humanitarian aid service. By working in concert with other information providers, humanitarian organisations can quickly and easily access maps, satellite images and other useful geo-information. The author discusses Respond's organisational framework, solutions provided up to now and the role of Infoterra. Numéro de notice : A2005-340 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27476
in GIM international > vol 19 n° 7 (July 2005) . - pp 47 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-05071 RAB Revue Centre de documentation En réserve L003 Disponible Super-resolution land cover mapping using a Markov random field based approach / T. Kasetkasem in Remote sensing of environment, vol 96 n° 3 (30/06/2005)
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Titre : Super-resolution land cover mapping using a Markov random field based approach Type de document : Article/Communication Auteurs : T. Kasetkasem, Auteur ; M.J. Arora, Auteur ; P.K. Varshney, Auteur Année de publication : 2005 Article en page(s) : pp 302 - 314 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification dirigée
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] précision infrapixellaire
[Termes IGN] programmation linéaireRésumé : (Auteur) Occurrence of mixed pixels in remote sensing images is a major problem particularly at coarse spatial resolutions. Therefore, sub-pixel classification is often preferred, where a pixel is resolved into various class components (also called class proportions or fractions). While, under most circumstances, land cover information in this form is more effective than crisp classification, sub-pixel classification fails to account for the spatial distribution of class proportions within the pixel. An alternative approach is to consider the spatial distribution of class proportions within and between pixels to perform super-resolution mapping (i.e. mapping land cover at a spatial resolution finer than the size of the pixel of the image). Markov random field (MRF) models are well suited to represent the spatial dependence within and between pixels. In this paper, an MRF model based approach is introduced to generate super-resolution land cover maps from remote sensing data. In the proposed MRF model based approach, the intensity values of pixels in a particular spatial structure (i.e., neighborhood) are allowed to have higher probability (i.e., weight) than others. Remote sensing images at two markedly different spatial resolutions, IKONOS MSS image at 4m spatial resolution and Landsat ETM+ image at 30m spatial resolution, are used to illustrate the effectiveness of the proposed MRF model based approach for super-resolution land cover mapping. The results show a significant increase in the accuracy of land cover maps at fine spatial resolution over that obtained from a recently proposed linear optimization approach suggested by Verhoeye and Wulf (2002) (Verhoeye, J., Wulf, R. D. (2002). Land Cover Mapping at Sub-pixel Scales using Linear Optimization Techniques, Remote Sensing of Environment, 79, 96-104). Numéro de notice : A2005-266 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.02.006 En ligne : https://doi.org/10.1016/j.rse.2005.02.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27402
in Remote sensing of environment > vol 96 n° 3 (30/06/2005) . - pp 302 - 314[article]Application of multi-temporal high-resolution imagery GPS in a study of the motion of a canyon rim landslide / John Chadwick in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 4 (June - July 2005)
PermalinkApplication of SeaWinds scatterometer and TMI-SSM/I rain rates to hurricane analysis and forecasting / R. Atlas in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 4 (June - July 2005)
PermalinkCartographie du couvert végétal des iles Loyauté (Nouvelle-Calédonie) à partir des données SPOT 4 / P. Dumas in Photo interprétation, vol 41 n° 2 (Juin 2005)
PermalinkCartographie en Jordanie : beaucoup de chemin parcouru / Françoise de Blomac in SIG la lettre, n° 68 (juin 2005)
PermalinkA comparative analysis of image fusion methods / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 43 n° 6 (June 2005)
PermalinkImages, modèles et biomasse immergée : cartographie des herbiers de zostères en Camargue à partir d'images SPOT-5 / C. Puech in Revue internationale de géomatique, vol 15 n° 2 (juin – août 2005)
PermalinkMapping of Quickbird images using the RPC [rational polynomial coefficient] method : improvement in accuracy since release of first Quickbird data / Penggen Cheng in Geoinformatics, vol 8 n° 4 (01/06/2005)
PermalinkNouvelle approche du réseau ARTMAP flou : application à la classification multi-spectrale des images SPOT XS de la baie d'Alger / F. Alilat in Revue Française de Photogrammétrie et de Télédétection, n° 177 (Juin 2005)
PermalinkQuality assessment of digital surface models generated from Ikonos imagery / J. Poon in Photogrammetric record, vol 20 n° 110 (June - August 2005)
PermalinkSPOT revisited: accuracy assessment, DEM generation and validation from stereo SPOT 5 HRG images / G. Buyuksalih in Photogrammetric record, vol 20 n° 110 (June - August 2005)
PermalinkTélédétection et photogrammétrie, chaînons dans la détermination du climat urbain à Strasbourg / Tania Landes in XYZ, n° 103 (juin - août 2005)
PermalinkAssessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands / G. Dall'olmo in Remote sensing of environment, vol 96 n° 2 (30/05/2005)
PermalinkSurvival analysis of a neotropical rainforest using multitemporal satellite imagery / J.A. Greenberg in Remote sensing of environment, vol 96 n° 2 (30/05/2005)
PermalinkAssessing the accuracy of satellite derived global and national urban maps in Kenya / A.J. Tatem in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
PermalinkSeparating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method / P. Dash in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
PermalinkThe use of remote sensing techniques and empirical tectonic models for inference of geological structures: bridging from regional to local scales / P.C. Fernandes Da Silva in Remote sensing of environment, vol 96 n° 1 (15/05/2005)
PermalinkNeural network model for standard PCA and its variants applied to remote sensing / S. Chitroub in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)
PermalinkA quantitative comparison of methods for classifying burned areas with LISS-3 imagery / R.M. Roman-Cuesta in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)
PermalinkRadial basis function neural networks classification using very high spatial resolution satellite imagery: an application to the habitat area of Lake Kerkini (Greece) / Iphigenia Keramitsoglou in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)
PermalinkSatellite remote sensing for detailed landslide inventories using change detection and image fusion / J. Nichol in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)
PermalinkSpatial 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)
PermalinkASPRS 2005 pre-eminent meeting for photogrammetric and remote sensing communities, "geospatial goes global: from your neighbourhood to the whole planet" / Gordon Petrie in Geoinformatics, vol 8 n° 3 (01/05/2005)
PermalinkCalculating NDVI for NOAA/AVHRR data after atmospheric correction for extensive images using 6S code: a case study in the Marsabit district Kenya / K. Tachiiri in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)
PermalinkMapping towns from Quickbird imagery- sub-metre resolution and high positioning accuracy / F. Volpe in GIM international, vol 19 n° 5 (May 2005)
PermalinkMicrowave land emissivity calculations using AMSU measurements / Fatima Karbou in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (May 2005)
PermalinkNOAA operational hydrological products derived from the Advanced Microwave Sounding Unit / R.R. Ferraro in IEEE Transactions on geoscience and remote sensing, vol 43 n° 5 (May 2005)
PermalinkA robust technique for precise registration of radar and optical satellite images / T.D. Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 5 (May 2005)
PermalinkThe Cryosat data products: their generation, in-situ validation and applications / R. Francis in ESA bulletin, n° 122 (May 2005)
PermalinkVexcel ultracam D in operation: survey workflow with aerial digital camera / F. Hagman in GIM international, vol 19 n° 5 (May 2005)
PermalinkLand 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)
PermalinkA 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)
PermalinkApplication of an automated cloud-tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems / H. Feidas in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
PermalinkA 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)
PermalinkRapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI / C. Casanova in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
PermalinkA whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra / E.W. Ramsey in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
PermalinkLandsat-7 ETM+ radiometric normalization comparison for northern mapping application / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
PermalinkSignature extension through space for northern landcover classification: a comparison of radiometric correction methods / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
PermalinkApplication of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
PermalinkLand 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)
PermalinkUpdating land cover classification using a rule-based decision system / Damien Raclot 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)
PermalinkPermalinkIntegration 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)
PermalinkOrtho-rectification of QuickBird satellite / F. Volpe in GEO: Geoconnexion international, vol 4 n° 4 (april 2005)
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