Centre de documentation
scientifique

Complexity-based matching between image resolution and map scale for multiscale image-map generation / Qian Peng in International journal of geographical information science IJGIS, vol 35 n° 10 (October 2021)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 35 n° 10 (October 2021) . - pp 1951 - 1974 Titre : Complexity-based matching between image resolution and map scale for multiscale image-map generation Type de document : Article/Communication Auteurs : Qian Peng, Auteur ; Zhilin Li, Auteur ; Jun Chen, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 1951 - 1974 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] appariement de lignes [Termes IGN] échelle cartographique [Termes IGN] Hong-Kong [Termes IGN] niveau de détail [Termes IGN] objet géographique linéaire [Termes IGN] orthophotocarte [Termes IGN] précision cartographique [Termes IGN] précision planimétrique [Termes IGN] résolution globale (imagerie) [Termes IGN] symbole graphique [Termes IGN] visualisation multiéchelle [Vedettes matières IGN] Généralisation Résumé : (auteur) An image-map is a compromise between an image and a map. The quality of such maps is affected by several factors, such as (a) the matching between the features on images and the graphic symbols from maps, (b) the complexity of background images, and (c) the representation of graphic and text symbols on the images. This project deals with the first issue. The current solution is that the accuracy of images should satisfy the accuracy standard of maps. However, images with different resolutions can satisfy the standard for a specific map scale. This may lead to a situation in which the levels of detail (LoD) in images may not match the complexity of map features although the planimetric accuracy is matched. To solve this problem, we developed a complexity-based matching between the image resolution and map scale. More precisely, the matching is based on the complexity of line features. Experimental evaluations were conducted in 15 representative areas in Hong Kong using maps at seven scales and eight image resolutions. Results show that the proposed complexity-based method is capable of obtaining good matching between image resolution and map scale in terms of both accuracy and users’ preference. Numéro de notice : A2021-655 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2021.1885674 Date de publication en ligne : 12/04/2021 En ligne : https://doi.org/10.1080/13658816.2021.1885674 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98391 [article]

Automated labeling of schematic maps by optimization with knowledge acquired from existing maps / Tian Lan in Transactions in GIS, Vol 24 n° 6 (December 2020)  

Public [article]  inTransactions in GIS > Vol 24 n° 6 (December 2020) . - pp 1722 - 1739 Titre : Automated labeling of schematic maps by optimization with knowledge acquired from existing maps Type de document : Article/Communication Auteurs : Tian Lan, Auteur ; Zhilin Li, Auteur ; Qian Peng, Auteur ; Xinyu Gong, Auteur Année de publication : 2020 Article en page(s) : pp 1722 - 1739 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] automatisation [Termes IGN] calcul d'itinéraire [Termes IGN] Chine [Termes IGN] données cartographiques [Termes IGN] Hong-Kong [Termes IGN] optimisation (mathématiques) [Termes IGN] réseau métropolitain [Termes IGN] segmentation sémantique Résumé : (Auteur) Schematic maps are simplified representations of line networks, aiming to help people quickly and accurately perform route planning and orientation tasks. The automated generation of such maps is generally treated as an optimization problem. Most researchers prefer to optimize network layouts and name labels separately, because optimizing them simultaneously is still intractable. It is found that optimizing network layouts is extensively studied, while optimizing name labels is rarely considered. In the optimization of name labels, constraints can be established with rules from cartographic experts, literature (e.g., specification and technical documents), and/or existing maps. However, some rules from experts and literature cannot be explicitly and mathematically expressed. This study aims to develop an automated labeling method with rules from existing maps. We first acquire the rules (i.e., the potential positions and the preferences of these positions) from some existing schematic maps and then integrate them into an optimization algorithm. Experimental evaluation is conducted by a questionnaire in terms of “ease level of finding name labels,” “congestion level,” and “satisfaction level” using Tianjin and Hong Kong metro schematic maps and the labels of our method. The results show that the proposed method can automatically generate effective labels. Numéro de notice : A2020-769 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12671 Date de publication en ligne : 06/08/2020 En ligne : https://doi.org/10.1111/tgis.12671 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96661 [article]

Grouping rules for effective legend design / Zhe Qin in Cartographic journal (the), Vol 54 n° 1 (February 2017)  

Public [article]  inCartographic journal (the) > Vol 54 n° 1 (February 2017) . - pp 36 - 47 Titre : Grouping rules for effective legend design Type de document : Article/Communication Auteurs : Zhe Qin, Auteur ; Zhilin Li, Auteur Année de publication : 2017 Article en page(s) : pp 36 - 47 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes IGN] conception cartographique [Termes IGN] légende cartographique [Termes IGN] spécification de contenu [Termes IGN] symbole graphique Résumé : (auteur) The legend is an important map component. Legend design is one aspect of map design, which forms an important topic in cartography. From the literature, it is found that only one study was dedicated to the building of cartographic rules for effective legend design, and no systematic investigations into the building of grouping rules for proper determination of the grouping of legend features (symbols + text descriptions) had been carried out. This study is therefore devoted to the building of grouping rules based on Gestalt laws. An experimental evaluation of these developed rules was designed and conducted. The results indicate that a legend designed by considering these new rules is significantly more efficient than the others violating these rules. Numéro de notice : A2017-130 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2016.1148105 En ligne : http://dx.doi.org/10.1080/00087041.2016.1148105 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84550 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-2017011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

How many samples are needed? An investigation of binary logistic regression for selective omission in a road network / Qi Zhou in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)  

Public [article]  inCartography and Geographic Information Science > vol 43 n° 5 (November 2016) . - pp 405 - 416 Titre : How many samples are needed? An investigation of binary logistic regression for selective omission in a road network Type de document : Article/Communication Auteurs : Qi Zhou, Auteur ; Zhilin Li, Auteur Année de publication : 2016 Article en page(s) : pp 405 - 416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage dirigé [Termes IGN] échantillonnage [Termes IGN] généralisation cartographique automatisée [Termes IGN] régression logistique [Termes IGN] réseau routier [Vedettes matières IGN] Généralisation Résumé : (Auteur) Selective omission in a road network (or road selection) means to retain more important roads, and it is a necessary operator to transform a road network at a large scale to that at a smaller scale. This study discusses the use of the supervised learning approach to road selection, and investigates how many samples are needed for a good performance of road selection. More precisely, the binary logistic regression is employed and three road network data with different sizes and different target scales are involved for testing. The different percentages and numbers of strokes are randomly chosen for training a logistic regression model, which is further applied into the untrained strokes for validation. The performances of using the different sample sizes are mainly evaluated by an error rate estimate. Significance tests are also employed to investigate whether the use of different sample sizes shows statistically significant differences. The experimental results show that in most cases, the error rate estimate is around 0.1–0.2; more importantly, only a small number (e.g., 50–100) of training samples is needed, which indicates the usability of binary logistic regression for road selection. Numéro de notice : A2016-691 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1104265 En ligne : https://doi.org/10.1080/15230406.2015.1104265 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82019 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2016051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

vol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Christian Heipke  

Public [n° ou bulletin]  est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -)   Titre : vol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science Type de document : Périodique Auteurs : Christian Heipke, Éditeur scientifique ; Marguerite Madden, Éditeur scientifique ; Zhilin Li, Éditeur scientifique ; Ian J. Dowman, Éditeur scientifique Année de publication : 2016 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes IGN] image spatiale [Termes IGN] photogrammétrie numérique [Termes IGN] télédétection Numéro de notice : 081-201605 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://www.sciencedirect.com/science/journal/09242716/115 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27168 [n° ou bulletin]

Contient

• Information from imagery: ISPRS scientific vision and research agenda / Jun Chen in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Remote sensing platforms and sensors: A survey / Charles K. Toth in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Sensor modelling and camera calibration for close-range photogrammetry / Thomas Luhmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Recent developments in large-scale tie-point matching / Wilfried Hartmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Terrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Persistent Scatterer Interferometry: A review / Michele Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Geospatial big data handling theory and methods: A review and research challenges / Songnian Li in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  
• Rethinking big data: A review on the data quality and usage issues / Jianzheng Liu in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)  

Empirical determination of geometric parameters for selective omission in a road network / Qi Zhou in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)  

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Automated generation of schematic network maps adaptive to display sizes / Peng Ti in Cartographic journal (the), Vol 52 n° 2 (May 2015)  

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Adaptive generation of variable-scale network maps for small displays based on line density distribution / Zhilin Li in Geoinformatica, vol 19 n° 2 (April - June 2015)  

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Spacing and alignment rules for effective legend design / Zhilin Li in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)  

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Use of artificial neural networks for selective omission in updating road networks / Qi Zhou in Cartographic journal (the), vol 51 n° 1 (February 2014)  

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Effectiveness of cartogram for the representation of spatial data / Hui Sun in Cartographic journal (the), vol 47 n° 1 (January 2010)  

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