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An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes / H. Liu in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 1015 - 1041 Titre : An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes Type de document : Article/Communication Auteurs : H. Liu, Auteur ; L. Wang, Auteur ; D. Sherman, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 1015 - 1041 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] conception orientée objet [Termes IGN] détection de changement [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] érosion côtière [Termes IGN] lasergrammétrie [Termes IGN] littoral [Termes IGN] objet géographique Résumé : (Auteur) This article presents an object-based conceptual framework and numerical algorithms for representing and analyzing coastal morphological and volumetric changes based on repeat airborne light detection and ranging (LiDAR) surveys. This method identifies and delineates individual zones of erosion and deposition as discrete objects. The explicit object representation of erosion and deposition zones is consistent with the perception and cognition of human analysts and geomorphologists. The extracted objects provide ontological and epistemological foundation to localize, represent, and interpret erosion and deposition patches for better coastal resource management and erosion control. The discrete objects are much better information carriers than the grid cells in the field-based representation of source data. A set of spatial and volumetric attributes are derived to characterize and quantify location, area, shape, orientation, depth, volume, and other properties of erosion and deposition objects. Compared with the conventional cell-by-cell differencing approaches, our object-based method gives a concise and high-level representation of information and knowledge about coastal morphological dynamics. The derived attributes enable the discrimination of true morphological changes from artifacts caused by data noise and processing errors. Furthermore, the concise object representation of erosion and deposition zones facilitates overlay analysis in conjunction with other GIS data layers for understanding the causes and impacts of morphological and volumetric changes. We have implemented a software tool for our object-based morphological analysis, which will be freely available for the public. An example is used to demonstrate the utility and effectiveness of this new method. Numéro de notice : A2010-317 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810903270569 En ligne : https://doi.org/10.1080/13658810903270569 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30511 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model / H. Su in Marine geodesy, vol 31 n° 4 (December 2008)  

Public [article]  inMarine geodesy > vol 31 n° 4 (December 2008) . - pp 281 - 298 Titre : Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model Type de document : Article/Communication Auteurs : H. Su, Auteur ; H. Liu, Auteur ; W.D. Heymann, Auteur Année de publication : 2008 Article en page(s) : pp 281 - 298 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] données bathymétriques [Termes IGN] étalonnage de modèle [Termes IGN] fond marin [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image multibande [Termes IGN] modèle d'inversion [Termes IGN] modèle non linéaire [Termes IGN] optimisation (mathématiques) Résumé : (Auteur) Most previous studies utilized a log-linear regression model to invert multi-spectral images into bathymetric data. Based on the Levenberg-Marquardt optimization algorithm, we developed an automated method for calibrating the parameters for a non-linear inversion model. Our method has been successfully applied to an IKONOS multispectral image. We compared depth data derived from our model to those estimated using a conventional log-linear inversion model. Bathymetric data derived from the non-linear inversion model are slightly more accurate and stable, particularly for deeper benthic habitats, than those derived from a conventional log-linear model although their overall performances are very similar. Copyright Taylor & Francis Numéro de notice : A2008-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490410802466652 En ligne : https://doi.org/10.1080/01490410802466652 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29584 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
230-08041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Intelligent map agents: an ubiquitous personalized GIS / E. Gervais in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 62 n° 5 (October 2007) . - pp 347 - 365 Titre : Intelligent map agents: an ubiquitous personalized GIS Type de document : Article/Communication Auteurs : E. Gervais, Auteur ; H. Liu, Auteur ; D. Nussbaumer, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 347 - 365 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] appareil portable [Termes IGN] données localisées [Termes IGN] échange de données informatisé [Termes IGN] information géographique [Termes IGN] interactivité [Termes IGN] manipulation de données [Termes IGN] système multi-agents [Termes IGN] utilisateur nomade Résumé : (Auteur) The Intelligent Map Agents (IMA) is an agent-based framework aimed at providing access to, and support for the manipulation of, spatial information. The IMA is designed as an open architecture that can accommodate a large number of mobile users and services possibly distributed across a wide geographical area. Today's users are mobile and are equipped with small powerful devices. Using wireless communication, these devices are/will be capable of exchanging digital data and voice from almost any location. In this paper, we present the IMA architecture which is aimed at replacing the monolithic approach to geographic information systems with a new dynamic, lean, and customizable system supporting spatially-oriented applications. We present this vision, describe the design of the IMA and discuss a sample application. Copyright ISPRS Numéro de notice : A2007-484 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.014 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28847 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-07071	SL	Revue	Centre de documentation	Revues en salle	Disponible

An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling / L. Wang in International journal of geographical information science IJGIS, vol 20 n° 2 (february 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 2 (february 2006) . - pp 193 - 213 Titre : An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling Type de document : Article/Communication Auteurs : L. Wang, Auteur ; H. Liu, Auteur Année de publication : 2006 Article en page(s) : pp 193 - 213 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] bassin hydrographique [Termes IGN] C++ [Termes IGN] données lidar [Termes IGN] hydrographie de surface [Termes IGN] image à haute résolution [Termes IGN] modèle numérique de surface [Termes IGN] ruissellement [Termes IGN] système d'information géographique [Termes IGN] temps de réponse Résumé : (Auteur) Identification and removal of surface depressions is a critical step for automated modelling of surface rainfall runoff based on Digital Elevation Models (DEMs). At prescrit, nearly all GIS and hydrologic software packages employ Jensen and Domingue's method for preparing depressionless DEMs for hydrologic analysis. This conventional method is computationally intensive and time-consuming. With the growing availability of high-resolution DEMs produced by airborne LIDAR and InSAR techniques, GIS-based hydrologic applications often need to handle larger geographic areas at finer resolutions. In the face of high-resolution DEMs, the conventional method becomes inadequate and deficient. In this paper, we present a new method for efficiently identifying and filling surface depressions in DEMs. This method can simultaneously determine flow paths and spatial partition of watersheds with one pass of processing. A novel concept of spill elevation and the least-cost search for optimal flow paths are the two cornerstones of our method. The time complexity of our method is in O(Nlog N). It has been implemented using C+ + programming language and successfully applied to USGS DEMs and LIDAR DEMs of various sizes. Experiments show that our method outperforms the conventional method by a factor of over 30, in terms of running time. Numéro de notice : A2006-067 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500433453 En ligne : https://doi.org/10.1080/13658810500433453 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27794 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-06021	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-06022	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Correction of positional errors and geometric distortions in topographic maps and DEMs using a rigorous SAR simulation technique / H. Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 9 (September 2004) . - pp 1031 - 1042 Titre : Correction of positional errors and geometric distortions in topographic maps and DEMs using a rigorous SAR simulation technique Type de document : Article/Communication Auteurs : H. Liu, Auteur ; Z. Zhao, Auteur ; K.C. Jezek, Auteur Année de publication : 2004 Article en page(s) : pp 1031 - 1042 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Antarctique [Termes IGN] carte topographique [Termes IGN] correction géométrique [Termes IGN] erreur de positionnement [Termes IGN] image Radarsat [Termes IGN] jeu de données localisées [Termes IGN] modèle mathématique [Termes IGN] modèle numérique de surface [Termes IGN] simulation Résumé : (Auteur) In the history of surveying and mapping, a Iarge volumes of topographic maps and digital elevation models have been created at various scales throughout the world. However, positional errors and geometric distortions may exist in the topographic contour maps and their derived DEMs due to inaccurate ground control and poor navigation techniques in the early years. In this paper, we present a new technique to detect and correct positional errors and geometric distortions in topographic data based on rigorous Synthetic Aperture Radar (SAR) image simulation and mathematical modeling of SAR imaging geometry. Our method has been successfully applied to two USGS topographical data sets in Antarctica. Using Radarsat SAR imagery, positional errors of these two data sets have been reduced from 5 km to 200 m and from 200 m to 50 m, respectively. Numéro de notice : A2004-345 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.9.1031 En ligne : http://dx.doi.org/10.14358/PERS.70.9.1031 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26872 [article]

Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)  

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Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)  

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