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Optimized resource allocation for GIS-based model implementation / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 3 (March 2002) . - pp 225 - 232 Titre : Optimized resource allocation for GIS-based model implementation Type de document : Article/Communication Auteurs : M. Crosetto, Auteur ; F. Crosetto, Auteur ; S. Tarantola, Auteur Année de publication : 2002 Article en page(s) : pp 225 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] aide à la décision [Termes IGN] analyse de sensibilité [Termes IGN] implémentation (informatique) [Termes IGN] incertitude des données [Termes IGN] modèle conceptuel de données Résumé : (Auteur) This paper focuses on a new procedure to support the planning and implementation of GIS-based models. Critical decisions are often based on the outputs of such models. A major goal of the GIS planning stage is to implement a model whose output can reliably support the decision process. The procedure allows the above goal to be achieved with an optimized allocation of resources for GIS data acquisition. It is based on two important modeling tools: uncertainty analysis and sensitivity analysis. An application of the procedure to a GIS-based hydrologic model for flood forecasting is discussed. Numéro de notice : A2002-027 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans En ligne : https://www.researchgate.net/profile/M-Crosetto/publication/251813611_Optimised_ [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21944 [article]

Detection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data / A.S. Dhakal in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 3 (March 2002) . - pp 233 - 239 Titre : Detection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data Type de document : Article/Communication Auteurs : A.S. Dhakal, Auteur ; T. Amada, Auteur ; M. Aniya, Auteur ; R.R. Sharma, Auteur Année de publication : 2002 Article en page(s) : pp 233 - 239 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse en composantes principales [Termes IGN] analyse spectrale [Termes IGN] bande spectrale [Termes IGN] bande visible [Termes IGN] bassin hydrographique [Termes IGN] données multitemporelles [Termes IGN] érosion hydrique [Termes IGN] image Landsat-TM [Termes IGN] inondation [Termes IGN] Népal Résumé : (Auteur) The potential of multi-temporal Landsat Thematic Mapper (TM) data was examined for its use in detecting areas affected by flood and erosion from a heavy rainfall. The study area is the Kulekhani watershed (124 km') located in the central region of Nepal. Four change-detection techniques were compared for their effectiveness including (1) Spectral Image Differencing (SID), (2) Tasseled Cap Brightness Image Differencing (TCBID), (3) Principal Component Analysis (PCA), and (4) Spectral Change Vector Analysis (SCVA). SID was performed on four raw bands (bands 1, 2, 3, and 7), and altogether seven new images (change images) were produced. Visible bands were effective in detecting affected areas. SCVA (using bands 1, 2, and 3) was found to be most accurate for detecting areas affected by flood and erosion followed by SID (band 2), PCA (using bands 1, 2, and 3), SID (band 1), and SID (band 3). The change image produced from SCVA showed overall and Khat accuracies of 88.3 percent and 75.4 percent, respectively. The analysis of spatial agreement conducted among the seven change images, produced from different techniques, varied from 89 percent to 98 percent. The change image produced from SCVA showed high spatial agreements with change images produced from PCA, SID (band 3), and SID (band 2). SGVA and SID (band 3) showed the spatial agreement of 88.1 percent and 98.7 percent in the change and no-change categories, respectively. Numéro de notice : A2002-028 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/march/2002_mar_233-239 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21945 [article]

Visualizing topography by openness: a new application of image processing to digital elevation models / R. Yokoyama in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 3 (March 2002) . - pp 257 - 265 Titre : Visualizing topography by openness: a new application of image processing to digital elevation models Type de document : Article/Communication Auteurs : R. Yokoyama, Auteur ; M. Shirasawa, Auteur ; R. Pike, Auteur Année de publication : 2002 Article en page(s) : pp 257 - 265 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] ligne de visée [Termes IGN] modèle numérique de surface [Termes IGN] niveau de gris (image) [Termes IGN] paysage [Termes IGN] visualisation 3D Résumé : (Auteur) A new parameter, here termed openness, expressing the degree of dominance or enclosure of a location on an irregular surface, is developed to visualise topographic character. Openness is an angular measure of the relation between surface relief and horizontal distance. For angles less than 90', it is equivalent to the internal angle of a cone, its APEX at a DEM location, constrained by neighbouring elevations within a specified radial distance. Openness incorporates the terrain line-of-sight, or viewshed, concept and is calculated from multiple zenith and nadir angles-here along eight azimuths. Openness has two viewer perspectives. Positive values, expressing openness above the surface, are high for convex forms, whereas negative values describe this attribute below the surface and are high for concave forms. Openness values are mapped by gray-scale tones. The emphasis of terrain convexity and concavity in openness maps facilitates the interpretation of landforms on the Earth's surface and its seafloor, and on the planets, as well as features on any irregular surface-such as those generated by industrial procedures. Numéro de notice : A2002-029 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c3d9a561fdb9e8c34 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21946 [article]

A framework for automatic recognition of spatial features from mobile mapping imagery / Z. Tu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 3 (March 2002) . - pp 267 - 276 Titre : A framework for automatic recognition of spatial features from mobile mapping imagery Type de document : Article/Communication Auteurs : Z. Tu, Auteur ; R. Li, Auteur Année de publication : 2002 Article en page(s) : pp 267 - 276 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] axiome de Bayes [Termes IGN] chaîne de Markov [Termes IGN] méthode de Monte-Carlo [Termes IGN] méthode robuste [Termes IGN] objet géographique [Termes IGN] objet géographique 3D [Termes IGN] point de fuite [Termes IGN] processus stochastique [Termes IGN] reconnaissance automatique [Termes IGN] reconnaissance de formes [Termes IGN] système de numérisation mobile Résumé : (Auteur) Mobile mapping is a new technology for capturing georeferenced data. It is, however, still not practical to extract spatial and attribute information of objects such as infrastructure elements fully automatically. In this article, a new framework for 3D object recognition by hypothesis-and-test techniques is proposed and developed. An example of traffic-light recognition from mobile mapping images is given in detail. The hypothesis is generated according to the viewpoint dependent theory. We formulate the hypothesis test problem based on Bayesion inference and, in particular, the MAP (Maximize A Posteriori Probability). This approach functions in two major steps: (1) generation of hot-spot maps by vanishing point detection and template matching, and (2) estimation of the parameters of 3D objects (traffic lights) by Markov Chain Monte Carlo (MCMC). The developed hot-spot map generation method is, in general, faster than general color image segmentation algorithms. For example, it can handle the recognition problem with a color image of 720 by 400 pixels within a couple of minutes rather than tens of minutes to even hours when using the segmentation algorithms. The parameter estimation method uses mcmc to simulate an ergodic stochastic process so that a robust and global optimal solution can be found. The approach shows great potential for automatic object recognition in image sequences acquired by mobile mapping systems. Numéro de notice : A2002-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/march/2002_mar_267-276 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21947 [article]