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Auteur Jie Shan |
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Georeferencing with self-calibration for airborne full-waveform Lidar data using digital elevation model / Qinghua Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 1 (January 2021)
[article]
Titre : Georeferencing with self-calibration for airborne full-waveform Lidar data using digital elevation model Type de document : Article/Communication Auteurs : Qinghua Li, Auteur ; Jie Shan, Auteur Année de publication : 2021 Article en page(s) : pp 43 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] auto-étalonnage
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] forme d'onde pleine
[Termes IGN] géoréférencement
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle numérique de surface
[Termes IGN] optimisation (mathématiques)
[Termes IGN] point d'appui
[Termes IGN] synchronisationRésumé : (Auteur) Precise georeferencing of airborne full-waveform lidar is a complex process. On one hand, no ground control points are visible due to heavy canopy. While on the other hand, precise georeferencing relies on ground control. As an alternative, we propose to use an available digital elevation model (DEM ) as control. The mathematical framework minimizes the difference between the lidar DEM and the reference DEM. Our solution consists of two steps: initial optimization to find reliable ground points through iterative filtering and georeferencing, and fine optimization to achieve precise georeferencing and lidar system calibration. Through this approach, the wave-form-derived DEM can best fit the reference DEM, with a mean of 0.937 m and standard deviation of 0.792 m, while the time-synchronization offset and boresight angles are simultaneously determined, i.e., self-calibrated. This development provides a novel georeferencing approach with self-calibration for lidar data without using conventional ground control points. Numéro de notice : A2021-056 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.87.1.43 Date de publication en ligne : 01/01/2021 En ligne : https://doi.org/10.14358/PERS.87.1.43 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96766
in Photogrammetric Engineering & Remote Sensing, PERS > vol 87 n° 1 (January 2021) . - pp 43 - 52[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2021011 SL Revue Centre de documentation Revues en salle Disponible
Titre : Advances in airborne Lidar systems and data processing Type de document : Monographie Auteurs : Jie Shan, Éditeur scientifique ; Juha Hyyppä, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2018 Importance : 493 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03842-673-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] apprentissage profond
[Termes IGN] détection d'arbres
[Termes IGN] données lidar
[Termes IGN] enregistrement de données
[Termes IGN] hauteur des arbres
[Termes IGN] image multibande
[Termes IGN] modèle numérique de terrain
[Termes IGN] photon
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] télédétection par lidarRésumé : (éditeur) This book collects the papers in the special issue "Airborne Laser Scanning" in Remote Sensing (Nov. 2016) and several other selected papers published in the same journal in the past few years. Our intention is to reflect recent technological developments and innovative techniques in this field. The book consists of 23 papers in six subject areas: 1) Single photon and Geiger-mode Lidar, 2) Multispectral lidar, 3) Waveform lidar, 4) Registration of point clouds, 5) Trees and terrain, and 6) Building extraction. The book is a valuable resource for scientists, engineers, developers, instructors, and graduate students interested in lidar systems and data processing. Note de contenu : 1- Single photon and Geiger-mode Lidar
2- Multispectral Lidar
3- Waveform Lidar
4- Registration of Point Clouds
5- Trees and Terrain
6- Building ExtractionNuméro de notice : 25932 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03842-674-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96235
Titre : Topographic laser ranging and scanning : principles and processing Type de document : Guide/Manuel Auteurs : Jie Shan, Éditeur scientifique ; Charles K. Toth, Éditeur scientifique Mention d'édition : Second edition Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2018 ISBN/ISSN/EAN : 978-1-315-15438-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contrôle qualité
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle numérique de terrain
[Termes IGN] orthorectification
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreIndex. décimale : 33.80 Lasergrammétrie Résumé : (éditeur) This Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. Note de contenu : 1. Introduction to Laser Ranging, Profiling, and Scanning
2. Terrestrial Laser Scanners
3. Airborne and Spaceborne Laser Profilers and Scanners
4. LiDAR Systems and Calibration
5. Pulsed Laser Altimeter Ranging Techniques and Implications for Terrain Mapping
6. Georeferencing Component of LiDAR Systems
7. Full-Waveform Analysis for Pulsed Laser Systems
8. Strip Adjustment
9. Accuracy, Quality Assurance, and Quality Control of Light Detection and Ranging Mapping
10. Data Management of Light Detection and Ranging
11. LiDAR Data Filtering and Digital Terrain Model Generation
12. Forest Inventory Using Laser Scanning
13. Integration of LiDAR and Photogrammetric Data: Triangulation and Orthorectification
14. Feature Extraction from Light Detection and Ranging Data in Urban Areas
15. Global Solutions to Building Segmentation and Reconstruction
16. Building and Road Extraction from LiDAR Data
17. Progressive Modeling of 3D Building Rooftops from Airborne LiDAR and Imagery
18. A Framework for Automated Construction of Building Models from Airborne LiDAR Measurements
19. Quality of Buildings Extracted from Airborne Laser Scanning Data—Results of an Empirical Investigation on 3D Building ReconstructionNuméro de notice : 26946 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/URBANISME Nature : Manuel DOI : 10.1201/9781315154381 En ligne : https://doi.org/10.1201/9781315154381 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102179 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 26946-01 33.80 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible A comprehensive review of earthquake-induced building damage detection with remote sensing techniques / Laigen Dong in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)
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Titre : A comprehensive review of earthquake-induced building damage detection with remote sensing techniques Type de document : Article/Communication Auteurs : Laigen Dong, Auteur ; Jie Shan, Auteur Année de publication : 2013 Article en page(s) : pp 85 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] bâtiment
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] données multitemporelles
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] séisme
[Termes IGN] télédétection aérienne
[Termes IGN] télédétection spatialeRésumé : (Auteur) Earthquakes are among the most catastrophic natural disasters to affect mankind. One of the critical problems after an earthquake is building damage assessment. The area, amount, rate, and type of the damage are essential information for rescue, humanitarian and reconstruction operations in the disaster area. Remote sensing techniques play an important role in obtaining building damage information because of their non-contact, low cost, wide field of view, and fast response capacities. Now that more and diverse types of remote sensing data become available, various methods are designed and reported for building damage assessment. This paper provides a comprehensive review of these methods in two categories: multi-temporal techniques that evaluate the changes between the pre- and post-event data and mono-temporal techniques that interpret only the post-event data. Both categories of methods are discussed and evaluated in detail in terms of the type of remote sensing data utilized, including optical, LiDAR and SAR data. Performances of the methods and future efforts are drawn from this extensive evaluation. Numéro de notice : A2013-518 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.06.011 Date de publication en ligne : 07/08/2013 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.06.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32655
in ISPRS Journal of photogrammetry and remote sensing > vol 84 (October 2013) . - pp 85 - 99[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013101 RAB Revue Centre de documentation En réserve L003 Disponible Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery / Xiaohua Tong in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)
[article]
Titre : Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery Type de document : Article/Communication Auteurs : Xiaohua Tong, Auteur ; Xue Zhang, Auteur ; Jie Shan, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 2799 - 2814 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] affinage d'image
[Termes IGN] analyse infrapixellaire
[Termes IGN] décomposition du pixel
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] programmation linéaire
[Termes IGN] reconstruction d'imageRésumé : (Auteur) This paper presents a new subpixel mapping method based on subpixel attraction-repulsion. The proposed method is formulated as an optimization problem with respect to attraction-repulsion among subpixels and is used to reconstruct a finer spatial resolution image from a lower resolution one. A comprehensive experiment is conducted to demonstrate the performance of the proposed method, by comparing it with the other three existing subpixel mapping methods, i.e., linear optimization, pixel swapping and spatial attraction model methods. In the experiment, both a synthetic image with known fractional abundances and an EO-1 Hyperion hyperspectral image of Shanghai were used to evaluate performances of the subpixel mapping methods. The experimental result shows that by using spatial dependence with attraction between the same types of ground objects and repulsion between different types of these objects, the proposed subpixel mapping method achieves a better performance on subpixel mapping than the other three methods Numéro de notice : A2013-257 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2218612 En ligne : https://doi.org/10.1109/TGRS.2012.2218612 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32395
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 1 (May 2013) . - pp 2799 - 2814[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013051A RAB Revue Centre de documentation En réserve L003 Disponible Permalink