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Mountain summit detection with Deep Learning: evaluation and comparison with heuristic methods / Rocio Nahime Torres in Applied geomatics, vol 12 n° 2 (June 2020)  

Public [article]  inApplied geomatics > vol 12 n° 2 (June 2020) . - pp 225 – 246 Titre : Mountain summit detection with Deep Learning: evaluation and comparison with heuristic methods Type de document : Article/Communication Auteurs : Rocio Nahime Torres, Auteur Année de publication : 2020 Article en page(s) : pp 225 – 246 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] apprentissage profond [Termes descripteurs IGN] base de données altimétriques [Termes descripteurs IGN] classification floue [Termes descripteurs IGN] collecte de données [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] figuré du terrain [Termes descripteurs IGN] méthode heuristique [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] montagne [Termes descripteurs IGN] OpenStreetMap [Termes descripteurs IGN] sommet (relief) [Termes descripteurs IGN] système d'information géographique Résumé : (auteur) Landform detection and analysis from Digital Elevation Models (DEM) of the Earth has been boosted by the availability of high-quality public data sets. Current landform identification methods apply heuristic algorithms based on predefined landform features, fine tuned with parameters that may depend on the region of interest. In this paper, we investigate the use of Deep Learning (DL) models to identify mountain summits based on features learned from data examples. We train DL models with the coordinates of known summits found in public databases and apply the trained models to DEM data obtaining as output the coordinates of candidate summits. We introduce two formulations of summit recognition (as a classification or a segmentation task), describe the respective DL models, compare them with heuristic methods quantitatively, illustrate qualitatively their performances, and discuss the challenges of training DL methods for landform recognition with highly unbalanced and noisy data sets. Numéro de notice : A2020-560 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-019-00295-2 date de publication en ligne : 24/12/2019 En ligne : https://doi.org/10.1007/s12518-019-00295-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95870 [article]

Robust multisource remote sensing image registration method based on scene shape similarity / Ming Hao in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 10 (October 2019) . - pp 725 - 736 Titre : Robust multisource remote sensing image registration method based on scene shape similarity Type de document : Article/Communication Auteurs : Ming Hao, Auteur ; Jian Jin, Auteur ; Mengchao Zhou, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 725 - 736 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes descripteurs IGN] appariement de modèles [Termes descripteurs IGN] coefficient de corrélation [Termes descripteurs IGN] figuré du terrain [Termes descripteurs IGN] image multibande [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] niveau de gris (image) [Termes descripteurs IGN] point de liaison (imagerie) [Termes descripteurs IGN] superposition d'images [Termes descripteurs IGN] temps de pose [Termes descripteurs IGN] transformation linéaire Résumé : (Auteur) Image registration is an indispensable component of remote sensing applications, such as disaster monitoring, change detection, and classification. Grayscale differences and geometric distortions often occur among multisource images due to their different imaging mechanisms, thus making it difficult to acquire feature points and match corresponding points. This article proposes a scene shape similarity feature (SSSF) descriptor based on scene shape features and shape context algorithms. A new similarity measure called SSSFncc is then defined by computing the normalized correlation coefficient of the SSSF descriptors between multisource remote sensing images. Furthermore, the tie points between the reference and the sensed image are extracted via a template matching strategy. A global consistency check method is then used to remove the mismatched tie points. Finally, a piecewise linear transform model is selected to rectify the remote sensing image. The proposed SSSFncc aims to extract the scene shape similarity between multisource images. The accuracy of the proposed SSSFncc is evaluated using five pairs of experimental images from optical, synthetic aperture radar, and map data. Registration results demonstrate that the SSSFncc similarity measure is robust enough for complex nonlinear grayscale differences among multisource remote sensing images. The proposed method achieves more reliable registration outcomes compared with other popular methods. Numéro de notice : A2019-521 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.10.725 date de publication en ligne : 01/10/2019 En ligne : https://doi.org/10.14358/PERS.85.10.725 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93989 [article]

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Automated Swiss-style relief shading and rock hachuring / Roman Geisthövel in Cartographic journal (the), Vol 55 n° 4 (November 2018)  

Public [article]  inCartographic journal (the) > Vol 55 n° 4 (November 2018) . - pp 341 - 361 Titre : Automated Swiss-style relief shading and rock hachuring Type de document : Article/Communication Auteurs : Roman Geisthövel, Auteur ; Lorenz Hurni, Auteur Année de publication : 2018 Article en page(s) : pp 341 - 361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes descripteurs IGN] carte topographique [Termes descripteurs IGN] cartographie étrangère [Termes descripteurs IGN] estompage analytique [Termes descripteurs IGN] généralisation cartographique [Termes descripteurs IGN] représentation du relief [Termes descripteurs IGN] style cartographique [Termes descripteurs IGN] Suisse Résumé : (Auteur) Rock depiction in Swiss topographic maps has evolved from humble line drawings into expressive renderings indicating slope, aspect and traversability. In this paper, an automatic method to derive monochrome Swiss-style rock hachures from a raster elevation model is presented. The proper placement and light modulation of the linear strokes depend on the availability of sound foundations for both terrain generalization and relief shading, for which two novel methods are introduced. The generalization applies line integral convolution along slope lines to the elevation values. The resulting smoothed raster has the footprint of its steep faces enlarged to increase the map space available for steep faces. The shaded relief is generated with the focus on terrain edges, unlike common raster cell-based methods. The rock hachures are modulated according to the grey values of the shaded relief. Finally, we present two topographic maps that demonstrate this new method of depicting relief. Numéro de notice : A2018-592 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2018.1551955 date de publication en ligne : 01/03/2019 En ligne : https://doi.org/10.1080/00087041.2018.1551955 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92566 [article]

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A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling / Ángel M. Felicísimo in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 4 (July 2018) . - pp 329 - 338 Titre : A method of downscaling temperature maps based on analytical hillshading for use in species distribution modelling Type de document : Article/Communication Auteurs : Ángel M. Felicísimo, Auteur ; Miguel A. Martín-Tardío, Auteur Année de publication : 2018 Article en page(s) : pp 329 - 338 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes descripteurs IGN] carte climatique [Termes descripteurs IGN] carte thématique [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] estompage analytique [Termes descripteurs IGN] image Landsat-8 [Termes descripteurs IGN] modèle numérique de terrain [Termes descripteurs IGN] rayonnement solaire [Termes descripteurs IGN] température Résumé : (Auteur) Climate maps have been widely used for the construction of species distribution models. These maps derive from interpolation of data collected by meteorological stations. The sparse distribution of stations generates maps with coarse spatial resolution that are unable to detect microclimates or areas that can serve as plant or animal refuges. This work proposes a method for downscaling temperature maps using the solar radiation falling upon hillsides as predictor for the influence of relief on local variability. Solar irradiance is estimated from a digital elevation model of the study area using a routine based on analytical hillshading. Some examples of downscaling from 1 km to 25 m spatial resolution are shown. The results are compared with the surface temperature maps from Landsat 8 satellite imagery. Numéro de notice : A2018-134 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1338620 date de publication en ligne : 19/06/2017 En ligne : https://doi.org/10.1080/15230406.2017.1338620 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89666 [article]

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The transformation of relief representation on topographic maps in Hungary: from hachures to contour lines / Lazlo Zentai in Cartographic journal (the), vol 55 n° 2 (May 2018)  

Public [article]  inCartographic journal (the) > vol 55 n° 2 (May 2018) . - pp 150 - 158 Titre : The transformation of relief representation on topographic maps in Hungary: from hachures to contour lines Type de document : Article/Communication Auteurs : Lazlo Zentai, Auteur Année de publication : 2018 Article en page(s) : pp 150 - 158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie étrangère [Termes descripteurs IGN] 1:25.000 [Termes descripteurs IGN] carte ancienne [Termes descripteurs IGN] carte militaire [Termes descripteurs IGN] carte topographique [Termes descripteurs IGN] courbe de niveau [Termes descripteurs IGN] dix-huitième siècle [Termes descripteurs IGN] dix-neuvième siècle [Termes descripteurs IGN] hachure [Termes descripteurs IGN] Hongrie [Termes descripteurs IGN] représentation du relief [Termes descripteurs IGN] vingtième siècle Résumé : (Auteur) Although the maps of the Third and Fourth Military Surveys of the Austria–Hungarian Empire were classified, after its dissolution the new countries had access to the topographic maps covering their own territories. Lehmann’s slope hachures were used for representing relief, both at the survey scale and the derived scales. Contour lines were used to plan the hachures, which were the primary method of relief representation; therefore, most of the contour lines were removed from the final map. Following the political and administrative changes, a new organization, the independent Military Mapping Group was established in Hungary in 1919. After developing it into an institute, Hungary started a new topographic survey revising the former Austro-Hungarian 1:25 000 scale topographic maps. The revision changed the relief representation from hachures to contour lines and the language of the map lettering from German to Hungarian. Numéro de notice : A2018-258 Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/00087041.2018.1433475 date de publication en ligne : 09/07/2018 En ligne : https://doi.org/10.1080/00087041.2018.1433475 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90331 [article]

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Modeling canopy reflectance over sloping terrain based on path length correction / Gaofei Yin in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)  

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Interactive shearing for terrain visualization : an expert study / Jonas Buddeberg in Geoinformatica [en ligne], vol 21 n° 3 (July - September 2017)  

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Progressive block graying and landmarks enhancing as intermediate representations between buildings and urban areas / Guillaume Touya (2017) 

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Hybrid terrain rendering based on the external edge primitive / E.G. Paredes in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)  

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Using hachures to construct a 3D doline model automatically / Nai Yang in Cartographica, vol 50 n° 2 (Summer 2015)  

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Perceptually shaded slope maps for the visualization of digital surface models / Thomas J. Pingel in Cartographica, vol 49 n° 4 (December 2014)  

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Changing the light azimuth in shaded relief representation by clustering aspect / Fabio Veronesi in Cartographic journal (the), vol 51 n° 4 (November 2014)

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Design principles for Swiss-style rock drawing / Bernhard Jenny in Cartographic journal (the), vol 51 n° 4 (November 2014)

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Effects of cartographic elevation visualizations and map-reading tasks on eye movements / Katja Putto in Cartographic journal (the), vol 51 n° 3 (August 2014)

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Landscape preference and map readability in design evaluation of topographic maps with an orthoimage background / Paulo Raposo in Cartographic journal (the), vol 51 n° 1 (February 2014)

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