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Study of usability of aerial images and high-resolution satellite images in cadastre renewal works in Turkey / Fazil Nacar in Survey review, vol 52 n° 372 (May 2020)
[article]
Titre : Study of usability of aerial images and high-resolution satellite images in cadastre renewal works in Turkey Type de document : Article/Communication Auteurs : Fazil Nacar, Auteur ; Hakan Karabörk, Auteur ; Tayfun Cay, Auteur Année de publication : 2020 Article en page(s) : pp 191 - 204 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger
[Termes IGN] analyse comparative
[Termes IGN] données cadastrales
[Termes IGN] données GPS
[Termes IGN] image aérienne
[Termes IGN] image Worldview
[Termes IGN] levé topographique
[Termes IGN] mise à jour de base de données
[Termes IGN] orthophotographie
[Termes IGN] TurquieRésumé : (Auteur) If the usability of orthophotos of aerial images and high-resolution satellite images in cadastre renewal works is ensured, the state cadastre can be maintained and constantly updated. For this purpose, three pilot fields in Konya, Adana and Şanlıurfa were selected. In these fields, land surveys were made with a CORS method by using GPS. The coordinates were obtained by using orthophotos in Konya (1/2000 scale) and in Adana (1/5000 scale) and orthophotos with 1/5000 scale obtained from WorldView-2 high-resolution satellite images in Şanlıurfa. One aim was to establish the positional accuracy of the data obtained from digital orthophotos and area accuracy in comparison with cadastral areas by presuming that the land surveys were accurate. In light of the discovered results, comments on the usability of orthophotos obtained from aerial images and high-resolution satellite images in renewal cadastre were made. Numéro de notice : A2020-176 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1536849 Date de publication en ligne : 24/12/2018 En ligne : https://doi.org/10.1080/00396265.2018.1536849 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94832
in Survey review > vol 52 n° 372 (May 2020) . - pp 191 - 204[article]Building Extraction from High-Resolution Remote Sensing Images Based on GrabCut with Automatic Selection of Foreground and Background Samples / Ka Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 4 (April 2020)
[article]
Titre : Building Extraction from High-Resolution Remote Sensing Images Based on GrabCut with Automatic Selection of Foreground and Background Samples Type de document : Article/Communication Auteurs : Ka Zhang, Auteur ; Hui Chen, Auteur ; Wen Xiao, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 235 - 245 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de contours
[Termes IGN] détection du bâti
[Termes IGN] image à haute résolution
[Termes IGN] image Worldview
[Termes IGN] segmentation d'imageRésumé : (Auteur) This article proposes a new building extraction method from high-resolution remote sensing images, based on GrabCut, which can automatically select foreground and background samples under the constraints of building elevation contour lines. First the image is rotated according to the direction of pixel displacement calculated by the rational function Model. Second, the Canny operator, combined with morphology and the Hough transform, is used to extract the building's elevation contour lines. Third, seed points and interesting points of the building are selected under the constraint of the contour line and the geodesic distance. Then foreground and background samples are obtained according to these points. Fourth, GrabCut and geometric features are used to carry out image segmentation and extract buildings. Finally, WorldView satellite images are used to verify the proposed method. Experimental results show that the average accuracy can reach 86.34%, which is 15.12% higher than other building extraction methods. Numéro de notice : A2020-128 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.86.4.235 Date de publication en ligne : 01/04/2020 En ligne : https://doi.org/10.14358/PERS.86.4.235 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94797
in Photogrammetric Engineering & Remote Sensing, PERS > vol 86 n° 4 (April 2020) . - pp 235 - 245[article]Integrated edge detection and terrain analysis for agricultural terrace delineation from remote sensing images / Wen Dai in International journal of geographical information science IJGIS, vol 34 n° 3 (March 2020)
[article]
Titre : Integrated edge detection and terrain analysis for agricultural terrace delineation from remote sensing images Type de document : Article/Communication Auteurs : Wen Dai, Auteur ; Jiaming Na, Auteur ; Nan Huang, Auteur Année de publication : 2020 Article en page(s) : pp 484 - 503 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse des risques
[Termes IGN] cartographie automatique
[Termes IGN] Chine
[Termes IGN] délimitation
[Termes IGN] détection de contours
[Termes IGN] effet d'ombre
[Termes IGN] érosion
[Termes IGN] Google Earth
[Termes IGN] humidité du sol
[Termes IGN] image satellite
[Termes IGN] image Worldview
[Termes IGN] méthode robuste
[Termes IGN] MNS ASTER
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] production agricole
[Termes IGN] superposition d'images
[Termes IGN] terrasseRésumé : (auteur) Agricultural terraces are important for agricultural production and soil-and-water conservation. They comprise treads and risers that require manual construction and maintenance. If managed improperly, risers will collapse, causing soil loss, gully erosion, and cultivation threats. However, mapping terrace risers remains a challenge. This study presents a novel approach to automatically map terrace risers by combining remote sensing images and digital elevation models (DEMs). First, a terraced hillslope was extracted via a hill-shading method and edges in the image were detected using a Canny edge detector. Next, the DEM was used to generate the contour direction, and edges along this direction were searched and coded as candidate terrace risers via directional detection. Finally, the results of directional detection and the edge image obtained from the Canny detector were overlaid to backtrack complete terrace risers. The approach was validated using four study areas with different topographic characteristics in the Loess Plateau, China. The results verify that the approach achieves outstanding performance and robustness in mapping terrace risers. The precision, recall, and F-measure were 90.81%–97.57%, 88.53%–94.10%, and 90.13%–95.80%, respectively. This approach is flexible and applicable with freely available images and DEM sources. Numéro de notice : A2020-105 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1650363 Date de publication en ligne : 22/08/2019 En ligne : https://doi.org/10.1080/13658816.2019.1650363 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94701
in International journal of geographical information science IJGIS > vol 34 n° 3 (March 2020) . - pp 484 - 503[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2020031 RAB Revue Centre de documentation En réserve L003 Disponible Cloud detection by luminance and inter-band parallax analysis for pushbroom satellite imagers / Tristan Dagobert in IPOL Journal, Image Processing On Line, vol 10 (2020)
[article]
Titre : Cloud detection by luminance and inter-band parallax analysis for pushbroom satellite imagers Type de document : Article/Communication Auteurs : Tristan Dagobert, Auteur ; Rafael Grompone von Gioi, Auteur ; Carlo de Franchis, Auteur ; Jean-Michel Morel, Auteur ; Charles Hessel, Auteur Année de publication : 2020 Article en page(s) : pp 167 - 190 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] détection des nuages
[Termes IGN] disparité
[Termes IGN] image optique
[Termes IGN] image RapidEye
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Worldview
[Termes IGN] méthode robuste
[Termes IGN] parallaxeRésumé : (auteur) This paper proposes a cloud detection algorithm for Earth observation images obtained by pushbroom satellite imagers. The pushbroom technology induces an inter-band acquisition delay leading to a parallax effect for the clouds. We propose a method exploiting this characteristic thanks to the analysis of the inter-band disparity. Several other features discriminating clouds are also defined and all are merged to build a robust a contrario statistical decision. Experiments applied on scenes acquired by various pushbroom satellites such as Sentinel-2, RapidEye and WorldView-2 show the effectiveness of the proposed method. In particular, we demonstrate a balanced accuracy rate close to 98% for cloud and non cloud classification for Sentinel-2 images. Numéro de notice : A2020-857 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5201/ipol.2020.271 Date de publication en ligne : 21/11/2020 En ligne : https://doi.org/10.5201/ipol.2020.271 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98935
in IPOL Journal, Image Processing On Line > vol 10 (2020) . - pp 167 - 190[article]Photogrammetric Bathymetry for the Canadian Arctic / Matus Hodul in Marine geodesy, Vol 43 n° 1 (January 2020)
[article]
Titre : Photogrammetric Bathymetry for the Canadian Arctic Type de document : Article/Communication Auteurs : Matus Hodul, Auteur ; René Chénier, Auteur ; Marc-André Faucher, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 23 - 43 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bathymétrie
[Termes IGN] Arctique, océan
[Termes IGN] Canada
[Termes IGN] carte marine
[Termes IGN] données hydrographiques
[Termes IGN] fond marin
[Termes IGN] image Worldview
[Termes IGN] télédétection spatialeRésumé : (auteur) Remote sensing is becoming common in the estimation of bathymetry for navigational charting through a process known as Satellite Derived Bathymetry (SDB). Most SDB techniques currently used by hydrographic offices employ an empirical approach, requiring the use of in-situ data to calibrate a relationship between spectral information and coincident depths. This article reports on a multi-site test of an alternative SDB method which uses photogrammetry to extract depths from stereo WorldView-2 imagery. In areas with heterogeneous seafloors, the empirical approach faces difficulties in establishing the relationship between colour and depth, while the photogrammetric approach uses the contrasting seafloor features for triangulation. Additionally, the photogrammetric method may be applied in areas lacking previous survey data. Five study areas in Nunavut, Canada were selected to test the robustness of the method in different environments and under different imaging conditions. Study areas were (with resulting RMSE/Bias given in metres) Coral Harbour (0.84/−0.47), Cambridge Bay (1.16/−0.15), Queen Maud Gulf (0.97/0.06), Arviat (0.99/−0.009), and Frobisher Bay, where extraction largely failed due to environmental conditions. Accuracies demonstrated here are similar to those seen using the empirical approach, suggesting that these two methods may be used in conjunction, each applied to regions where they are better suited. Numéro de notice : A2020-052 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490419.2019.1685030 Date de publication en ligne : 22/11/2019 En ligne : https://doi.org/10.1080/01490419.2019.1685030 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94920
in Marine geodesy > Vol 43 n° 1 (January 2020) . - pp 23 - 43[article]Accurate detection of built-up areas from high-resolution remote sensing imagery using a fully convolutional network / Yihua Tan in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)PermalinkGeometric accuracy improvement of WorldView‐2 imagery using freely available DEM data / Mateo Gašparović in Photogrammetric record, vol 34 n° 167 (September 2019)PermalinkDigital surface model generation from high resolution multi-view stereo satellite imagery / Ke Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 5 (May 2019)PermalinkTree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis / Matheus Pinheiro Ferreira in ISPRS Journal of photogrammetry and remote sensing, vol 149 (March 2019)PermalinkSynergetic efficiency of Lidar and WorldView-2 for 3D urban cartography in Northeast Mexico / Fabiola D. Yepez-Rincon in Geocarto international, vol 34 n° 2 ([01/02/2019])PermalinkAilanthus altissima mapping from multi-temporal very high resolution satellite images / Cristina Tarantino in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)PermalinkIndividual tree detection and crown delineation with 3D information from multi-view satellite Images / Changlin Xiao in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 1 (January 2019)PermalinkPermalinkIndividual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images / Fabien Hubert Wagner in ISPRS Journal of photogrammetry and remote sensing, vol 145 - part B (November 2018)PermalinkPan-sharpening via deep metric learning / Yinghui Xing in ISPRS Journal of photogrammetry and remote sensing, vol 145 - part A (November 2018)Permalink