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Weighting function alternatives for a subpixel allocation model / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
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[article]
Titre : Weighting function alternatives for a subpixel allocation model Type de document : Article/Communication Auteurs : Y. Makido, Auteur ; A. Shortridge, Auteur Année de publication : 2007 Article en page(s) : pp 1233 - 1240 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] allocation
[Termes IGN] analyse infrapixellaire
[Termes IGN] autocorrélation spatiale
[Termes IGN] classification barycentrique
[Termes IGN] image Ikonos
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] optimisation (mathématiques)
[Termes IGN] précision de la classificationRésumé : (Auteur) This study investigates the “pixel-swapping” optimization algorithm proposed by Atkinson for predicting subpixel land- cover distribution. Two limitations of this method are assessed: the arbitrary spatial range value and the arbitrary exponential model for characterizing spatial autocorrelation. Various alternative weighting functions are evaluated. For this assessment, two different simulation models are employed to develop spatially autocorrelated binary class raster maps. These rasters are then resampled to generate sets of representative medium-resolution class maps. Prior to conducting the subpixel allocation, the relationship between cell resolution and spatial autocorrelation, as measured by Moran’s I, is evaluated. It is discovered that the form of this relationship depends upon the simulation model. For all tested weighting functions (Nearest Neighbor, Gaussian, Exponential, and IDW), the pixel swapping method increased classification accuracy compared with the initial random allocation of subpixels. Nearest Neighbor allocation performs as well as the more complex models of spatial structure. Copyright ASPRS Numéro de notice : A2007-514 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1233 En ligne : http://dx.doi.org/10.14358/PERS.73.11.1233 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28877
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1233 - 1240[article]
[article]
Titre : Wildfires and remote sensing Type de document : Article/Communication Auteurs : Ioannis Z. Gitas, Auteur ; A. Polychronaki, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 16 - 19 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] Athènes
[Termes IGN] carte de la végétation
[Termes IGN] dommage matériel
[Termes IGN] image satellite
[Termes IGN] impact sur l'environnement
[Termes IGN] incendie de forêt
[Termes IGN] protection de l'environnement
[Termes IGN] risque naturel
[Termes IGN] sylvicultureRésumé : (Auteur) In the beginning of the summer this year, a large fire in the area of the mount Parnitha National Park near Athens in Greece resulted in the loss of approximately 5 000 ha of forest area, shrublands and agricultural land. Considering the extent and the consequences of the damage caused by the large fire, the Aristotle University of Thessaloniki began to collaborate with national authorities to provide all the necessary information to develop forest protection and restoration plans. Copyright GEOinformatics Numéro de notice : A2007-496 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28859
in Geoinformatics > vol 10 n° 7 (01/11/2007) . - pp 16 - 19[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-07071 SL Revue Centre de documentation Revues en salle Disponible Accuracy of forest mapping based on Landsat TM data and a kNN-based method / K. Gjertsen in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
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[article]
Titre : Accuracy of forest mapping based on Landsat TM data and a kNN-based method Type de document : Article/Communication Auteurs : K. Gjertsen, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 420 - 430 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte de la végétation
[Termes IGN] classification barycentrique
[Termes IGN] données multisources
[Termes IGN] forêt
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Norvège
[Termes IGN] précision de la classificationRésumé : (Auteur) A multi-source forest inventory (MSFI) method has been developed for use in the Norwegian National Forest Inventory (NFI). The method is based on a k-nearest neighbour rule and uses field plots from the NFI, land cover maps, and satellite image data from Landsat Thematic Mapper. The inventory method is used to produce maps of selected forest variables and to estimate the selected forest variables for large areas such as municipalities. In this study, focus has been on the qualitative variables ‘dominating species group’ and ‘development class’ because these variables are of central interest to forest managers. A mid-summer Landsat 5 TM scene was used as image data, and all NFI plots inside the scene were used as a reference dataset. The relationship between the spectral bands and the forest variables was analysed, and it was found that the levels of association were low. A leave-one-out method based on the reference dataset was used to estimate the pixel-level accuracies. They were found to be relatively low with 63% agreement for species groups. An independent control survey was available for a municipality and estimates from the MSFI were compared to it. The levels of error were quite high. It was concluded that the large area estimates were biased by the reference dataset. Copyright Elsevier Numéro de notice : A2007-410 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.018 En ligne : https://doi.org/10.1016/j.rse.2006.08.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28773
in Remote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 420 - 430[article]Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium / F.M.B. Van Coillie in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
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[article]
Titre : Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium Type de document : Article/Communication Auteurs : F.M.B. Van Coillie, Auteur ; L.P.C. Verbeke, Auteur ; R.R. DE Wulf, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 476 - 487 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme génétique
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] détection d'objet
[Termes IGN] Flandre (Belgique)
[Termes IGN] forêt tempérée
[Termes IGN] image Ikonos
[Termes IGN] segmentation d'imageRésumé : (Auteur) Obtaining detailed information about the amount of forest cover is an important issue for governmental policy and forest management. This paper presents a new approach to update the Flemish Forest Map using IKONOS imagery. The proposed method is a three-step object-oriented classification routine that involves the integration of 1) image segmentation, 2) feature selection by Genetic Algorithms (GAs) and 3) joint Neural Network (NN) based object-classification. The added value of feature selection and neural network combination is investigated. Results show that, with GA-feature selection, the mean classification accuracy (in terms of Kappa Index of Agreement) is significantly higher (p Numéro de notice : A2007-412 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.020 En ligne : https://doi.org/10.1016/j.rse.2007.03.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28775
in Remote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 476 - 487[article]vol 110 n° 4 - 30/10/2007 - Forestsat 2007 (Bulletin de Remote sensing of environment) / Ronald E. McRoberts
[n° ou bulletin]
Titre : vol 110 n° 4 - 30/10/2007 - Forestsat 2007 Type de document : Périodique Auteurs : Ronald E. McRoberts, Éditeur scientifique ; D.N.M. Donhogue, Éditeur scientifique Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] caméra numérique
[Termes IGN] cartographie automatique
[Termes IGN] chambre métrique
[Termes IGN] classification barycentrique
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] image SPOT 5
[Termes IGN] inventaire forestier (techniques et méthodes)Numéro de notice : 110-0719 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=10440 [n° ou bulletin] Contient
- Accuracy of forest mapping based on Landsat TM data and a kNN-based method / K. Gjertsen in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
- The impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes / T. Koukal in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
- Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium / F.M.B. Van Coillie in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
The impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes / T. Koukal in Remote sensing of environment, vol 110 n° 4 (30/10/2007)
PermalinkClassified road detection from satellite images based on perceptual organization / J. Yang in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkEstimation of regional evapotranspiration by TM/ETM+ data over heterogeneous surfaces / S. Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 10 (October 2007)
PermalinkLandsat ETM+ image applications to extract information for environmental planning in a Colombian city / L.M. Santana in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkMultispectral image classification: a supervised neural computation approach based on rough-fuzzy membership function and weak fuzzy similarity relation / A. Agrawal in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkOptimization in multi-scale segmentation of high-resolution satellite images for artificial feature recognition / Jing Tian in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkRegenerating boreal forest structure estimation using SPOT-5 pan-sharpened imagery / A.L. Wunderle in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)
PermalinkA rough set approach to the discovery of classification rules in spatial data / Yee Leung in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
PermalinkTemporal change in the landscape erosion pattern in the Yellow River basin / W. Siyuan in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
PermalinkPermalinkEarly fire detection using non-linear multi-temporal prediction of thermal imagery / A. Koltunov in Remote sensing of environment, vol 110 n° 1 (14/09/2007)
PermalinkAutomatic extraction of main road centrelines from high resolution satellite imagery using hierarchical grouping / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)
PermalinkCanada-wide maps of dominant tree species from remotely sensed and ground data / G. Pavlic in Geocarto international, vol 22 n° 3 (September - November 2007)
PermalinkDetection and substitution of clouds/hazes and their cast shadows on Ikonos images / Dong Lu in International Journal of Remote Sensing IJRS, vol 28 n°17-18 (September 2007)
PermalinkEstimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data / A.M. DE Asis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
PermalinkGeoeye's next-generation color satellite imagery / K. Corbley in Geoinformatics, vol 10 n° 6 (01/09/2007)
PermalinkIntegration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)
PermalinkInvestigation of physical sensor models for modelling SPOT 3 orbits / T. Kim in Photogrammetric record, vol 22 n° 119 (September - November 2007)
PermalinkLa morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS / David Sheeren in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)
PermalinkMultispectral images fusion by a joint multidirectional and multiresolution representation / M. Lillo-Saaverda in International Journal of Remote Sensing IJRS, vol 28 n°17-18 (September 2007)
PermalinkPALSAR data without ground control points / Penggen Cheng in Geoinformatics, vol 10 n° 6 (01/09/2007)
PermalinkSensibilité des indices de diversité à l'agrégation / I. Mahfoud in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)
PermalinkTerraced landscapes characterization / D. Rizzo in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)
PermalinkDual-frequency altimeter signal from Envisat on the Amery ice-shelf / Pascal Lacroix in Remote sensing of environment, vol 109 n° 3 (15 August 2007)
PermalinkAssessing alternatives for modelling the spatial distribution of multiple land-cover classes at sub-pixel scales / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)
PermalinkMultitemporel fuzzy classification model based on class transition possibilities / G.L.A. Mota in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)
PermalinkRule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping / Robert Lucas in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 3 (August 2007)
PermalinkSentinel-2, the optical high-resolution mission for GMES operational services / P. Martimort in ESA bulletin, n° 131 (August 2007)
PermalinkSpatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm / J. Tang in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)
PermalinkSpectral properties and reflectance curves of the revealed volcanic rocks in Syria using radiometric measurements / M. Rukieh in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)
PermalinkComparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America / J. Pisek in Remote sensing of environment, vol 109 n° 1 (12 July 2007)
PermalinkPermalinkInundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia / B.G. Mcadoo in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)
PermalinkMapping of the 26 December disaster by using Formosat-2 images / M.D. Yang in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)
PermalinkThe 26 December 2004 tsunami measured by satellite altimetry / J. Gower in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)
PermalinkDasymetric modelling of small-area population distribution using land cover and light emissions data / D.J. Briggs in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
PermalinkMonitoring herbaceaous fuel moisture content with Spot-Vegetation times-series for fire risk prediction in savanna ecosystems / Jan Verbesselt in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
PermalinkUse of TRMM in determining the climatic characteristics of rainfall over Bangladesh / M.N. Islam in Remote sensing of environment, vol 108 n° 3 (15/06/2007)
PermalinkApports de la télédétection à l'étude de la déformation des chainons de Metlaoui (Tunisie Centro-méridionale) / Maged Jabbour in Photo interprétation, vol 43 n° 2 (Juin 2007)
PermalinkAutomatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements / S. Leprince in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)
PermalinkEcotourism planning using multiple criteria evaluation with GIS / T. Fung in Geocarto international, vol 22 n° 2 (June - August 2007)
PermalinkÉvaluation comparative des images Ikonos pour la cartographie de l'occupation du sol à différentes échelles : cas d'étude au Liban / C. Abdallah in Photo interprétation, vol 43 n° 2 (Juin 2007)
PermalinkGMES, quand la sécurité et l'environnement s'appuient sur l'information géographique / Françoise de Blomac in SIG la lettre, n° 88 (juin 2007)
PermalinkIntegrated use of SRM, Landsat ETM+ data and 3D perspective views to identify the tectonic geomorphology of Dehradun valley, India / A.K. Singh in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)
PermalinkMapping of salt-affected soils using TM images / P. Garcia Rodriguez in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)
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