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Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation / Wioleta Błaszczak-Bąk in Survey review, vol 51 n° 368 (September 2019)  

Public [article]  inSurvey review > vol 51 n° 368 (September 2019) . - pp 422 - 430 Titre : Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation Type de document : Article/Communication Auteurs : Wioleta Błaszczak-Bąk, Auteur ; Marian Poniewiera, Auteur ; Anna Sobieraj-Żłobińska, Auteur ; Michal Kowalik, Auteur Année de publication : 2019 Article en page(s) : pp 422 - 430 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] généralisation de MNT [Termes IGN] modèle numérique de terrain [Termes IGN] réduction Mots-clés libres : Optimum Dataset method Résumé : (Auteur) Modern data-acquisition technologies provide large datasets. Such datasets are often cumbersome for rational processing, and their processing is time consuming. Therefore, there are several methods that can enable the reduction of the dataset size. One of them is generalisation of the Digital Terrain Model (DTM) or the reduction method within the initial processing of measurement data. Another method can be the Optimum Dataset (OptD) method. This paper presents two approaches towards decreasing the Light Detection and Ranging dataset. The first approach is based on the process of DTM generalisation, the second one is based on the application of the OptD method. The reduced datasets were used for isoline map creation depicting the overflow land in open-pit mining. It was proved that the reduction needs to be planned deliberately and that the degree of reduction should be performed in a way that allows to maintain the characteristics of the terrain. Numéro de notice : A2019-368 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 1080/00396265.2018.1474685 Date de publication en ligne : 26/06/2018 En ligne : https://doi.org/10.1080/00396265.2018.1474685 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93474 [article]

Generalization of DEM for terrain analysis using a compound method / Q. Zhou in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 66 n° 1 (January - February 2011) . - pp 38 - 45 Titre : Generalization of DEM for terrain analysis using a compound method Type de document : Article/Communication Auteurs : Q. Zhou, Auteur ; Y. Chen, Auteur Année de publication : 2011 Article en page(s) : pp 38 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] erreur moyenne quadratique [Termes IGN] généralisation automatique de données [Termes IGN] généralisation de MNT [Termes IGN] modèle numérique de surface [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) This paper reports an investigation into the generalization of a grid-based digital elevation model (DEM) for the purpose of terrain analysis. The focus is on the method of restructuring the grid-based surface elevation data to form a triangulated irregular network (TIN) that is optimized to keep the important terrain features and slope morphology with the minimum number of sample points. The critical points of the terrain surface are extracted from the DEM based on their significance, measured not only by their local relief, but also by their importance in identifying inherent geomorphological and drainage features in the DEM. A compound method is proposed by integrating the traditional point-additive and feature-point methods to construct a drainage-constrained TIN. The outcome is then compared with those derived from other selected methods including filtering, point-additive or feature-point algorithms. The results show that the compound approach is capable of taking advantage of both point-additive and feature-point algorithms to maximally keep the terrain features and to maintain RMSE at an acceptable level, while reducing the elevation data points by over 99%. The analytical result also shows that the proposed method outperforms the compared methods with better control in retaining drainage features at the same level of RMSE. Numéro de notice : A2011-015 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.08.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.08.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30797 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2011011	SL	Revue	Centre de documentation	Revues en salle	Disponible

DTM generalisation : handling large volumes of data for multi-scale mapping / O. Chaudry in Cartographic journal (the), vol 47 n° 4 (November 2010)  

Public [article]  inCartographic journal (the) > vol 47 n° 4 (November 2010) . - pp 360 - 370 Titre : DTM generalisation : handling large volumes of data for multi-scale mapping Type de document : Article/Communication Auteurs : O. Chaudry, Auteur ; William A Mackaness, Auteur Année de publication : 2010 Article en page(s) : pp 360 - 370 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] données multiéchelles [Termes IGN] généralisation automatique de données [Termes IGN] généralisation de MNT [Termes IGN] modèle numérique de surface [Termes IGN] modèle numérique de terrain [Termes IGN] morphologie mathématique [Termes IGN] partitionnement par bloc [Termes IGN] représentation multiple Résumé : (Auteur) Map generalisation is a modelling process in which it is typical that detailed, high dimensional geographic phenomena are reduced down to a set of `higher order', yet more generalized set of phenomena (for example, a large cluster of buildings is reduced to `city'). This process of generalisation necessarily requires us to handle large volumes of data which results in high processing overheads. One way of managing this is to partition the data. When geographically partitioning data, we need to partition in such a way that each partition can be generalized without having to consider regions outside any given partition. The focus of this paper is to explore partitioning and generalisation methodologies that can be applied to digital elevation data - the ambition being to derive generalized descriptions of morphology at the National Scale (for the UK). The paper describes and compares two solutions to this problem, and demonstrates how it is possible to apply generalisation algorithms to national coverages. Numéro de notice : A2010-543 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870410X12825500202896 Date de publication en ligne : 29/11/2013 En ligne : https://doi.org/10.1179/000870410X12825500202896 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30735 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A DEM generalization by minor valley branch detection and grid filling / Tinghua Ai in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 2 (March - April 2010) . - pp 198 - 207 Titre : A DEM generalization by minor valley branch detection and grid filling Type de document : Article/Communication Auteurs : Tinghua Ai, Auteur ; J. Li, Auteur Année de publication : 2010 Article en page(s) : pp 198 - 207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] détection automatique [Termes IGN] données multiéchelles [Termes IGN] généralisation automatique de données [Termes IGN] généralisation de MNT [Termes IGN] lissage de données [Termes IGN] modèle numérique de surface [Termes IGN] représentation du relief [Termes IGN] réseau hydrographique [Termes IGN] vallée Résumé : (Auteur) As an important method of terrain representation, a DEM usually needs to be generalized at multiple resolutions in order to adapt to different applications. The preservation of main landscape features is an important constraint in DEM generalization. The traditional generalization method based on signal processing by resampling or low-pass filtering is just a data compression operation rather than the abstraction of real information. This study develops a structured analysis method to generalize DEM data through the identification of minor valleys and filling the corresponding depression positions. The generalization process has two steps: geographic decision and geometric operation. According to their hydrological significance, the unimportant valley branches are detected and their corresponding coverage is filled by raising the terrain to make the terrain surface smoother. In contrast to the conventional algorithms based on image processing, this method is able to retain the main geographical characteristics more effectively in terrain representation. Copyright ISPRS Numéro de notice : A2010-092 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.11.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.11.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30288 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2010021	SL	Revue	Centre de documentation	Revues en salle	Disponible

A three-dimensional Douglas-Peucker algorithm and its application to automated generalization of DEMs / Fei Lifan in International journal of geographical information science IJGIS, vol 23 n° 6 (june 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n° 6 (june 2009) . - pp 703 - 718 Titre : A three-dimensional Douglas-Peucker algorithm and its application to automated generalization of DEMs Type de document : Article/Communication Auteurs : Fei Lifan, Auteur ; Jianhua He, Auteur Année de publication : 2009 Article en page(s) : pp 703 - 718 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] algorithme de Douglas-Peucker [Termes IGN] données localisées 3D [Termes IGN] généralisation automatique de données [Termes IGN] généralisation de MNT [Termes IGN] modèle numérique de surface [Termes IGN] quadrillage [Termes IGN] quantité discrète Résumé : (Auteur) This article reviews the formation of the 3-D Douglas-Peucker algorithm on the basis of analyzing the nature of the 2-D algorithm and further studies the application of the 3-D method to the automated global generalization of digital elevation model (DEM). Compared to the general 3-D Douglas-Peucker algorithm put forward by the authors in the previous publication, further improvements and expansion of the algorithm have been included in this article, namely, (1) for randomly distributed points, 'loneliness index' of the current point has been taken as the dynamic weight factor of the point-plane distance, so as to improve the selection of the feature points; (2) aiming at the mass volume of the regular square grids, which forms the majority of the DEM data; three measures have been suggested in this article for the improvement of the efficiency of the automated generalization. Experiments have proven that these measures can greatly heighten the efficiency of the DEM generalization with satisfactory results and have offered us the practical possibility of on-the-fly global generalization of DEM with a huge volume of data. Copyright Taylor & Francis Numéro de notice : A2009-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810701703001 En ligne : https://doi.org/10.1080/13658810701703001 Format de la ressource électronique : u Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29944 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-09041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-09042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Semi-automatic process for hybrid DTM Generalization based on structural elements multi-analysis / M. Martin in Cartographic journal (the), vol 46 n° 2 (May 2009)  

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The EuroSDR Test “Checking and Improving of Digital Terrain Models” / Joachim Höhle (2006)    

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