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Satellite image classification using genetically guided fuzzy clustering with spatial information / S. Bandyopadhyay in International Journal of Remote Sensing IJRS, vol 26 n° 3 (February 2005)
[article]
Titre : Satellite image classification using genetically guided fuzzy clustering with spatial information Type de document : Article/Communication Auteurs : S. Bandyopadhyay, Auteur Année de publication : 2005 Article en page(s) : pp 579 - 593 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] Bombay
[Termes IGN] classification floue
[Termes IGN] classification non dirigée
[Termes IGN] image satellite
[Termes IGN] pixel
[Termes IGN] segmentation d'image
[Termes IGN] utilisation du solRésumé : (Auteur) Land-cover classification of satellite images is an important task in analysis of remote sensing imagery. Segmentation is one of the widely used techniques in this regard. One of the important approaches for segmentation of an image is by clustering the pixels in the spectral domain, where pixels that share some common spectral property are put in the same group, or cluster. However, such spectral clustering completely ignores the spatial information contained in the pixels, which is often an important consideration for good segmentation of images. Moreover, the clustering algorithms often provide locally optimal solutions. In this paper, we propose to perform. image segmentation by a genetically guided unsupervised fuzzy clustering technique where some spatial information of the pixels is incorporated. Two ways of incorporating spatial information are suggested. The characteristic of this technique is that it is able to determine automatically the appropriate number of clusters without making any assumptions regarding the dataset. while attempting to provide globally near optimal solutions. In order to evolve the appropriate number of clusters, the chromosome encoding scheme is enhanced to incorporate the don't care symbol (#). Real-coded genetic algorithm with appropriatly defined operators is used. A cluster validity index is used as a measure of the value of the chromosomes. Results, both quantitative and qualitative are demonstrated for several images, including a satellite image of a part of the city of Mumbai. Numéro de notice : A2005-042 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331316432 En ligne : https://doi.org/10.1080/01431160512331316432 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27180
in International Journal of Remote Sensing IJRS > vol 26 n° 3 (February 2005) . - pp 579 - 593[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05031 RAB Revue Centre de documentation En réserve L003 Disponible Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe / K.P. Overmars in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
[article]
Titre : Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe Type de document : Article/Communication Auteurs : K.P. Overmars, Auteur ; P.H. Verburg, Auteur Année de publication : 2005 Article en page(s) : pp 125 - 152 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse spatiale
[Termes IGN] bassin hydrographique
[Termes IGN] carte d'occupation du sol
[Termes IGN] changement d'occupation du sol
[Termes IGN] données localisées
[Termes IGN] données socio-économiques
[Termes IGN] géographie physique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-ASTER
[Termes IGN] maïs (céréale)
[Termes IGN] Manille (Philippines)
[Termes IGN] Musa (genre)
[Termes IGN] occupation du sol
[Termes IGN] régression
[Termes IGN] rizière
[Termes IGN] utilisation du sol
[Termes IGN] variableRésumé : (Auteur) Land use and land cover change (LUCC) is the result of the complex interactions between behavioural and structural factors (drivers) associated with the demand, technological capacity, social relations and the nature of the environment in question. Although no general theory of land use change exists, different disciplinary theories can help us to analyse aspects of LUCC in specific situations. However, paradigms and theories applied by the different disciplines are often difficult to integrate and their specific research results do not easily combine into an integrated understanding of LUCC. Geographical approaches often aim to identify the location of LUCC in a spatially explicit way, while socio-economic studies aim to understand the processes of LUCC, but often lack spatial context and interactions. The objective of this study is to integrate process information from a socioeconomic study into a geographical approach. First, a logistic regression analysis is performed on household survey data from interviews. In this approach the occurrence of the land use types corn, wet rice and banana is explained by a set of variables that are hypothesised to be explanatory for those land use types, with fields as the unit of analysis. The independent variables consist of household characteristics, like ethnicity and age, and plot and field information, like tenure, slope and travel time. The results of these analyses are used to identify key variables explaining land use choice, which subsequently are also collected at watershed level, using maps, census data and remote sensing imagery. Logistic regression analysis of this spatial dataset, where a ten percent sample of a 50 by 50 m grid was analysed, shows that the key variables identified in the household analysis are also important at the watershed level. Important drivers in the study area are, among others, slope, ethnicity, accessibility and place of birth. The differences in the contribution of the variables to the models at household and watershed level can be attributed to differences in spatial extent and data representation. Comparing the model with a mainstream geographical approach indicates that the spatial model informed by the household analysis gives a better insight in the actual processes determining land use than the mainstream geographic approach. Numéro de notice : A2005-045 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001713380 En ligne : https://doi.org/10.1080/13658810410001713380 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27183
in International journal of geographical information science IJGIS > vol 19 n° 2 (february 2005) . - pp 125 - 152[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05021 RAB Revue Centre de documentation En réserve L003 Disponible 079-05022 RAB Revue Centre de documentation En réserve L003 Disponible A least squares-based method for adjusting the boundaries of area objects / X. Tong-Tong in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 2 (February 2005)
[article]
Titre : A least squares-based method for adjusting the boundaries of area objects Type de document : Article/Communication Auteurs : X. Tong-Tong, Auteur ; Wei Shi, Auteur ; D. Liu, Auteur Année de publication : 2005 Article en page(s) : pp 189 - 195 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] cadastre étranger
[Termes IGN] cohérence géométrique
[Termes IGN] implémentation (informatique)
[Termes IGN] limite indéterminée
[Termes IGN] méthode des moindres carrés
[Termes IGN] objet géographique zonal
[Termes IGN] parcelle cadastrale
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] Shanghai (Chine)
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In this paper a least squares-based method is proposed for adjusting the boundaries of area objects in a GIS that is designed particularly for solving inconsistencies between the areas of digitized and registered land parcels. The principle of this approach is taking the size of the registered area of a land parcel as its true value and to adjust the geometric position of the boundaries of the digitized parcel. First, a generic area adjustment model is derived by incorporating the following two categories of constraints: (a) attribute constraint: the size of the true area of the parcel, and (b) geometric constraints: such as, straight lines, right angles and certain distances. Second, the methods used to adjust the areas of the parcels for different cases are presented. Third, the implementation of the proposed model is illustrated using several case studies. The results of the application and the corresponding analysis demonstrate that the proposed approach is able to maintain a consistency between the areas of the digitized and registered parcels. This study has solved one of the most critical problems in developing a land/cadastral information system, and this solution has been adopted in the processing of real world cadastral data in Shanghai and other cities in China. Numéro de notice : A2005-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.2.189 En ligne : https://doi.org/10.14358/PERS.71.2.189 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27168
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 2 (February 2005) . - pp 189 - 195[article]Tsunami en Asie : le raz-de-marée des images satellites / Françoise de Blomac in SIG la lettre, n° 64 (février 2005)
[article]
Titre : Tsunami en Asie : le raz-de-marée des images satellites Type de document : Article/Communication Auteurs : Françoise de Blomac, Auteur Année de publication : 2005 Article en page(s) : pp 1 - 4 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Asie (géographie politique)
[Termes IGN] catastrophe naturelle
[Termes IGN] Digital Chart of the World
[Termes IGN] données vectorielles
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] image SPOT
[Termes IGN] métadonnées
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle océanographique
[Termes IGN] Référence-3D
[Termes IGN] site web
[Termes IGN] spatiocarte
[Termes IGN] SRTM
[Termes IGN] tsunamiRésumé : (Auteur) Catastrophe naturelle d'une ampleur sans précédent, le tsunami qui a frappé les côtes de l'Asie le 26 décembre au matin, a donné lieu à un déferlement d'images tout aussi exceptionnel. Entre les vidéos amateurs et les reportages officiels, se sont aussi glissées quelques images satellites, parfois très percutantes. Sur Internet, jamais la circulation de cartes, d'images satellites et de spatiocartes liées à un 'événement n'a été aussi intense : de nombreux organismes dans le monde entier se sont mobilisés, proposant au fil des jours des produits de qualité variable. La communauté industrielle et scientifique sait désormais mettre à profit les nombreuses sources disponibles. Reste peut-être à pérenniser et à renforcer une organisation pour éviter certaines erreurs de jeunesse. Numéro de notice : A2005-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27175
in SIG la lettre > n° 64 (février 2005) . - pp 1 - 4[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 286-05021 RAB Revue Centre de documentation En réserve L003 Disponible Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China / Shuli Chen in International Journal of Remote Sensing IJRS, vol 26 n° 2 (January 2005)
[article]
Titre : Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China Type de document : Article/Communication Auteurs : Shuli Chen, Auteur ; Y. Zhou, Auteur Année de publication : 2005 Article en page(s) : pp 2741 - 2754 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] déconvolution
[Termes IGN] géologie locale
[Termes IGN] géologie structurale
[Termes IGN] image Landsat-TM
[Termes IGN] levé gravimétrique
[Termes IGN] linéament
[Termes IGN] structure géologique
[Termes IGN] superposition de données
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Geological structures on remotely sensed images, Landsat Thematic Mapper (TM) images in this case, can be classified by quantitative depth information on the basis of the comparison of results from Landsat TM images and geophysical data. Although the lineaments with different depths can be visually interpreted together on Landsat TM images, the depth information and geological significance of these lineaments are however hard to obtain solely from the Landsat TM images of a study area under a thick cover, and it is of much importance for hydrocarbon exploration in the Western Slope Belt of Songliao Basin, northeast China. During the present study, the 3-dimensional field source information, including location and depth information, is derived from 3dimensional Euler deconvolution of gravity data in particular. As an example, it may be quantitatively classified into four groups of depth range: 1000m. It is then superimposed onto the lineaments map from Landsat TM images using a geographical information system (GIS). With a comprehensive analysis of the superimposed maps, we obtain validation and quantitative depth information of the geological structures delineated on the Landsat TM images. Four depth-layered maps of geological structures with different depths are presented here. It is concluded that the number of structures with depth greater than 1000 m on the Landsat TM images is fewer than those at the other three depth ranges. The detection of geological structures on Landsat TM images attributed to depth information derived from the geophysical data may also be possible by this approach. Numéro de notice : A2005-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500104210 En ligne : https://doi.org/10.1080/01431160500104210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27479
in International Journal of Remote Sensing IJRS > vol 26 n° 2 (January 2005) . - pp 2741 - 2754[article]Réservation
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