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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]

Intelligent processing on image and optical information / Seakwon Yeom (2020)  

Public Titre : Intelligent processing on image and optical information Type de document : Monographie Auteurs : Seakwon Yeom, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 324 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03936-945-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement de lignes [Termes IGN] apprentissage automatique [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] détection d'objet [Termes IGN] détection de changement [Termes IGN] extraction de traits caractéristiques [Termes IGN] fusion d'images [Termes IGN] image hyperspectrale [Termes IGN] navigation autonome [Termes IGN] optimisation (mathématiques) [Termes IGN] réseau antagoniste génératif [Termes IGN] segmentation d'image Résumé : (éditeur) This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers. Note de contenu : 1- Special issue on intelligent processing on image and optical information 2- Change detection of water resources via remote sensing: An L-V-NSCT approach 3- A texture classification approach based on the integrated optimization for parameters and features of gabor filter via hybrid ant lion optimizer 4- Real-time automated segmentation and classification of calcaneal fractures in CT images 5- Automatic zebrafish egg phenotype recognition from bright-field microscopic images using deep convolutional neural network 6- Zebrafish larvae phenotype classification from bright-field microscopic images using a two-tier deep-learning pipeline 7- Unsupervised generation and synthesis of facial images via an auto-encoder-based deep generative adversarial network 8- Detecting green mold pathogens on lemons using hyperspectral images 9- Review on computer aided weld defect detection from radiography images 10- Feature extraction with discrete non-separable shearlet transform and its application to surface inspection of continuous casting slabs 11- A novel extraction method for wildlife monitoring images with wireless multimedia sensor networks (WMSNs) 12- IMU-aided high-frequency Lidar odometry for autonomous driving 13- Determination of the optimal state of dough fermentation in bread production by using optical sensors and deep learning 14- Multi-sensor face registration based on global and local structures 15- Multifocus image fusion using a sparse and low-rank matrix decomposition for aviator’s night vision Goggle 16- Error resilience for block compressed sensing with multiple-channel transmission 17- Image completion with hybrid interpolation in tensor representation 18- A correction method for heat wave distortion in digital image correlation measurements based on background-oriented schlieren 19- An effective optimization method for machine learning based on ADAM 20- Boundary matching and interior connectivity-based cluster validity analysis Numéro de notice : 28438 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03936-945-4 En ligne : https://doi.org/10.3390/books978-3-03936-945-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98875

Structure from motion with line segments under relaxed endpoint constraints / Branislav Micusik in International journal of computer vision, vol 124 n° 1 (August 2017)  

Public [article]  inInternational journal of computer vision > vol 124 n° 1 (August 2017) . - pp 65 – 79 Titre : Structure from motion with line segments under relaxed endpoint constraints Type de document : Article/Communication Auteurs : Branislav Micusik, Auteur ; Horst Wildenauer, Auteur Année de publication : 2017 Article en page(s) : pp 65 – 79 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image numérique [Termes IGN] appariement de lignes [Termes IGN] carte d'intérieur [Termes IGN] compensation par faisceaux [Termes IGN] géométrie épipolaire [Termes IGN] programmation par contraintes [Termes IGN] segment de droite [Termes IGN] segmentation d'image [Termes IGN] structure-from-motion [Termes IGN] translation Résumé : (auteur) We present a novel structure from motion pipeline, which estimates motion and wiry 3D structure from imaged line segments across multiple views. Although the position and orientation of line segments can be determined more accurately than point features, the instability of their endpoints and the fact that lines are not constrained by epipolar geometry diverted most research focus away to point-based methods. In our approach, we tackle the problem of instable endpoints by utilizing relaxed constraints on their positions, both during matching and as well in the following bundle adjustment stage. Furthermore, we gain efficiency in estimating trifocal image relations by decoupling rotation and translation. To this end, a novel linear solver for relative translation estimation given rotations from five line correspondences in three views is introduced. Extensive experiments on long image sequences show that our line-based structure from motion pipeline advantageously complements point-based methods, giving more meaningful 3D representation for indoor scenarios. Numéro de notice : A2017-400 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-016-0971-9 En ligne : https://doi.org/10.1007/s11263-016-0971-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85942 [article]

Automatic keyline recognition and 3D reconstruction for quasi-planar façades in close-range images / Chang Li in Photogrammetric record, vol 31 n° 153 (March - May 2016)  

Public [article]  inPhotogrammetric record > vol 31 n° 153 (March - May 2016) . - pp. 29 - 50 Titre : Automatic keyline recognition and 3D reconstruction for quasi-planar façades in close-range images Type de document : Article/Communication Auteurs : Chang Li, Auteur ; Yongjun Zhang, Auteur ; Zuxun Zhang, Auteur Année de publication : 2016 Article en page(s) : pp. 29 - 50 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] appariement de lignes [Termes IGN] espace convexe [Termes IGN] façade [Termes IGN] photogrammétrie métrologique [Termes IGN] reconnaissance de formes [Termes IGN] reconstruction 3D du bâti [Termes IGN] surface concave Résumé : (Auteur) Critical keylines, such as concave and convex edges of a building façade, can be lost in photogrammetric recognition procedures. To solve this problem and to reconstruct quasi-planar 3D façades automatically and precisely, a set of algorithms and techniques for the automatic recognition of lines and 3D reconstruction is proposed. This includes: (1) a procedure for line-segment matching that satisfies the spatial requirements of a 3D scene based on “global independence” and “local dependence”; (2) a technique of generalised point bundle block adjustment combined with spatial line constraints (in the form of virtual observations) to control the propagation of error; and (3) the methods of perceptual organisation, plane fitting and plane–plane intersection are suggested to acquire the critical keylines corresponding to concave and convex building edges. Experimental results show that these new algorithms are feasible and applicable to recognition and 3D reconstruction. Recommendations for recognition methods are provided depending on whether or not a priori topological relationships are available between the planes under consideration. Numéro de notice : A2016-160 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12141 Date de publication en ligne : 14/03/2016 En ligne : https://doi.org/10.1111/phor.12141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80460 [article]

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An automated method to register airborne and terrestrial laser scanning point clouds / Bisheng Yang in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 109 (November 2015) . - pp 62 - 76 Titre : An automated method to register airborne and terrestrial laser scanning point clouds Type de document : Article/Communication Auteurs : Bisheng Yang, Auteur ; Yufu Zang, Auteur ; Zhen Dong, Auteur ; Ronggang Huang, Auteur Année de publication : 2015 Article en page(s) : pp 62 - 76 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] appariement de lignes [Termes IGN] coefficient de corrélation [Termes IGN] détection de contours [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] enregistrement de données [Termes IGN] extraction de traits caractéristiques [Termes IGN] modèle topologique de données [Termes IGN] semis de points [Termes IGN] télémétrie laser aéroporté [Termes IGN] télémétrie laser mobile Résumé : (auteur) Laser scanning techniques have been widely used to capture three-dimensional (3D) point clouds of various scenes (e.g. urban scenes). In particular, airborne laser scanning (ALS) and mobile laser scanning (MLS), terrestrial laser scanning (TLS) are effective to capture point clouds from top or side view. Registering the complimentary point clouds captured by ALS and MLS/TLS provides an aligned data source for many purposes (e.g. 3D reconstruction). Among these MLS can be directly geo-referenced to ALS according to the equipped position systems. For small scanning areas or dense building areas, TLS is used instead of MLS. However, registering ALS and TLS datasets suffers from poor automation and robustness because of few overlapping areas and sparse corresponding geometric features. A robust method for the registration of TLS and ALS datasets is proposed, which has four key steps. (1) extracts building outlines from TLS and ALS data sets independently; (2) obtains the potential matching pairs of outlines according to the geometric constraints between building outlines; (3) constructs the Laplacian matrices of the extracted building outlines to model the topology between the geometric features; (4) calculates the correlation coefficients of the extracted geometric features by decomposing the Laplacian matrices into the spectral space, providing correspondences between the extracted features for coarse registration. Finally, the multi-line adjustment strategy is employed for the fine registration. The robustness and accuracy of the proposed method are verified using field data, demonstrating a reliable and stable solution to accurately register ALS and TLS datasets. Numéro de notice : A2015-856 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.08.006 Format de la ressource électronique : YRL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79237 [article]

Backscattering of individual LiDAR pulses from forest canopies explained by photogrammetrically derived vegetation structure / Ilkka Korpela in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)  

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Indirect georeferencing of terrestrial laser scanning data using control lines / Daniel R. Dos Santos in Photogrammetric record, vol 28 n° 143 (September - November 2013)  

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A new method for automatic large scale map updating using mobile mapping imagery / Jianliang Ou in Photogrammetric record, vol 28 n° 143 (September - November 2013)  

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Improved nonsubsampled contourlet transform for multi-sensor image registration / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 1 (January 2013)

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A semi-automatic method for indirect orientation of aerial images using ground control lines extracted from airborne laser scanner data / D. Rodrigues Dos Santos in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)  

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Fitting constrained 3D models in multiple aerial images / Bruno Vallet (2005)    

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Extracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach / Franck Jung (2003)    

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Reconstruction de primitives linéaires 3D en multi-vues pour la modélisation de scènes urbaines / Franck Taillandier (2002)

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Comparaison vecteurs-images pour la détection des changements des bâtiments d'une base de données topographiques / Olivier Jamet (1998)  

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