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est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -) 
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Ajouter le résultat dans votre panierInformation from imagery: ISPRS scientific vision and research agenda / Jun Chen in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
Titre : Information from imagery: ISPRS scientific vision and research agenda Type de document : Article/Communication Auteurs : Jun Chen, Auteur ; Ian J. Dowman, Auteur ; Songnian Li, Auteur ; Zhilin li, Auteur ; Marguerite Madden, Auteur ; Jon Mills, Auteur ; Nicolas Paparoditis Année de publication : 2016 Article en page(s) : pp 3 – 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] image à haute résolution
[Termes IGN] information géographique
[Termes IGN] informatique ubiquitaire
[Termes IGN] recherche et développement
[Termes IGN] technologies de l'information et de la communication
[Termes IGN] télédétection spatialeMots-clés libres : Research agenda Photogrammetry Remote sensing Spatial information science Résumé : (auteur) With the increased availability of very high-resolution satellite imagery, terrain based imaging and participatory sensing, inexpensive platforms, and advanced information and communication technologies, the application of imagery is now ubiquitous, playing an important role in many aspects of life and work today. As a leading organisation in this field, the International Society for Photogrammetry and Remote Sensing (ISPRS) has been devoted to effectively and efficiently obtaining and utilising information from imagery since its foundation in the year 1910. This paper examines the significant challenges currently facing ISPRS and its communities, such as providing high-quality information, enabling advanced geospatial computing, and supporting collaborative problem solving. The state-of-the-art in ISPRS related research and development is reviewed and the trends and topics for future work are identified. By providing an overarching scientific vision and research agenda, we hope to call on and mobilise all ISPRS scientists, practitioners and other stakeholders to continue improving our understanding and capacity on information from imagery and to deliver advanced geospatial knowledge that enables humankind to better deal with the challenges ahead, posed for example by global change, ubiquitous sensing, and a demand for real-time information generation. Numéro de notice : A2016-541 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.008 Date de publication en ligne : 09/10/2015 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81686
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 3 – 21[article]
Titre : Remote sensing platforms and sensors: A survey Type de document : Article/Communication Auteurs : Charles K. Toth, Auteur ; Grzegorz Jóźków, Auteur Année de publication : 2016 Article en page(s) : pp 22 – 36 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] acquisition de données
[Termes IGN] capteur aérien
[Termes IGN] capteur spatial
[Termes IGN] drone
[Termes IGN] Infrastructure de données
[Termes IGN] technologieRésumé : (auteur) The objective of this article is to review the state-of-the-art remote sensing technologies, including platforms and sensors, the topics representing the primary research interest in the ISPRS Technical Commission I activities. Due to ever advancing technologies, the remote sensing field is experiencing unprecedented developments recently, fueled by sensor advancements and continuously increasing information infrastructure. The scope and performance potential of sensors in terms of spatial, spectral and temporal sensing abilities have expanded far beyond the traditional boundaries of remote sensing, resulting in significantly better observation capabilities. First, platform developments are reviewed with the main focus on emerging new remote sensing satellite constellations and UAS (Unmanned Aerial System) platforms. Next, sensor georeferencing and supporting navigation infrastructure, an enabling technology for remote sensing, are discussed. Finally, we group sensors based on their spatial, spectral and temporal characteristics, and classify them by their platform deployment competencies. In addition, we identify current trends, including the convergence between the remote sensing and navigation field, and the emergence of cooperative sensing, and the potential of crowdsensing. Numéro de notice : A2016-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.10.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.10.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81687
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 22 – 36[article]
Titre : Sensor modelling and camera calibration for close-range photogrammetry Type de document : Article/Communication Auteurs : Thomas Luhmann, Auteur ; Clive Simpson Fraser, Auteur ; Hans-Gerd Maas, Auteur Année de publication : 2016 Article en page(s) : pp 37 – 46 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] capteur aérien
[Termes IGN] capteur spatial
[Termes IGN] étalonnage d'instrument
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] photogrammétrie terrestreRésumé : (auteur) Metric calibration is a critical prerequisite to the application of modern, mostly consumer-grade digital cameras for close-range photogrammetric measurement. This paper reviews aspects of sensor modelling and photogrammetric calibration, with attention being focussed on techniques of automated self-calibration. Following an initial overview of the history and the state of the art, selected topics of current interest within calibration for close-range photogrammetry are addressed. These include sensor modelling, with standard, extended and generic calibration models being summarised, along with non-traditional camera systems. Self-calibration via both targeted planar arrays and targetless scenes amenable to SfM-based exterior orientation are then discussed, after which aspects of calibration and measurement accuracy are covered. Whereas camera self-calibration is largely a mature technology, there is always scope for additional research to enhance the models and processes employed with the many camera systems nowadays utilised in close-range photogrammetry. Numéro de notice : A2016-543 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.10.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.10.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81689
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 37 – 46[article]
Titre : Recent developments in large-scale tie-point matching Type de document : Article/Communication Auteurs : Wilfried Hartmann, Auteur ; Michal Havlena, Auteur ; Konrad Schindler, Auteur Année de publication : 2016 Article en page(s) : pp 47 – 62 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chaîne de traitement
[Termes IGN] géoréférencement direct
[Termes IGN] point d'appui
[Termes IGN] points homologuesRésumé : (auteur) Feature matching – i.e. finding corresponding point features in different images to serve as tie-points for camera orientation – is a fundamental step in photogrammetric 3D reconstruction. If the input image set is large and unordered, which is becoming increasingly common with the spread of photogrammetric recording to untrained user groups and even crowd-sourced geodata collection, the bottleneck of the reconstruction pipeline is the matching step, for two reasons. (i) Image acquisition without detailed viewpoint planning requires a denser set of viewpoints with larger overlaps, to ensure appropriate coverage of the object of interest and to guarantee sufficient redundancy for reliable reconstruction in spite of the unoptimised network geometry. As a consequence, there is a large number of images with overlapping viewfields, resulting in a more expensive matching step than, say, a regular block geometry. (ii) In the absence of a carefully pre-planned recording sequence it is not even known which images overlap. One thus faces the even bigger challenge to determine which pairs of images even can have tie-points and should therefore be fed into the matching procedure. In this paper we attempt a systematic survey of the state-of-the-art for tie-point generation in unordered image collections, including recent developments for very large image sets. Numéro de notice : A2016-544 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.09.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81690
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 47 – 62[article]
Titre : Terrestrial laser scanning in forest inventories Type de document : Article/Communication Auteurs : Xinlian Liang, Auteur ; Ville Kankare, Auteur ; Juha Hyyppä, Auteur Année de publication : 2016 Article en page(s) : pp 63 – 77 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) Decision making on forest resources relies on the precise information that is collected using inventory. There are many different kinds of forest inventory techniques that can be applied depending on the goal, scale, resources and the required accuracy. Most of the forest inventories are based on field sample. Therefore, the accuracy of the forest inventories depends on the quality and quantity of the field sample. Conventionally, field sample has been measured using simple tools. When map is required, remote sensing materials are needed. Terrestrial laser scanning (TLS) provides a measurement technique that can acquire millimeter-level of detail from the surrounding area, which allows rapid, automatic and periodical estimates of many important forest inventory attributes. It is expected that TLS will be operationally used in forest inventories as soon as the appropriate software becomes available, best practices become known and general knowledge of these findings becomes more wide spread. Meanwhile, mobile laser scanning, personal laser scanning, and image-based point clouds became capable of capturing similar terrestrial point cloud data as TLS. This paper reviews the advances of applying TLS in forest inventories, discusses its properties with reference to other related techniques and discusses the future prospects of this technique. Numéro de notice : A2016-545 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.01.006 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81691
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 63 – 77[article]
Titre : Persistent Scatterer Interferometry: A review Type de document : Article/Communication Auteurs : Michele Crosetto, Auteur ; Oriol Monserrat, Auteur ; María Cuevas-González, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 78 – 89 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] coin réflecteur
[Termes IGN] interféromètrie par radar à antenne synthétiqueRésumé : (auteur) Persistent Scatterer Interferometry (PSI) is a powerful remote sensing technique able to measure and monitor displacements of the Earth’s surface over time. Specifically, PSI is a radar-based technique that belongs to the group of differential interferometric Synthetic Aperture Radar (SAR). This paper provides a review of such PSI technique. It firstly recalls the basic principles of SAR interferometry, differential SAR interferometry and PSI. Then, a review of the main PSI algorithms proposed in the literature is provided, describing the main approaches and the most important works devoted to single aspects of PSI. A central part of this paper is devoted to the discussion of different characteristics and technical aspects of PSI, e.g. SAR data availability, maximum deformation rates, deformation time series, thermal expansion component of PSI observations, etc. The paper then goes through the most important PSI validation activities, which have provided valuable inputs for the PSI development and its acceptability at scientific, technical and commercial level. This is followed by a description of the main PSI applications developed in the last fifteen years. The paper concludes with a discussion of the main open PSI problems and the associated future research lines. Numéro de notice : A2016-546 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.10.011 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.10.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81695
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 78 – 89[article]
Titre : Geospatial big data handling theory and methods: A review and research challenges Type de document : Article/Communication Auteurs : Songnian Li, Auteur ; Suzana Dragićević, Auteur ; Francesc Antón Castro, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 119 – 133 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données massives
[Termes IGN] traitement automatique de données
[Termes IGN] traitement de données localiséesRésumé : (auteur) Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processing, analyzing, visualizing and verifying the quality of data. This has implications for the quality of decisions made with big data. Consequently, this position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geospatial big data. Further, the paper synthesises problems, major issues and challenges with current developments as well as recommending what needs to be developed further in the near future. Numéro de notice : A2016-547 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.10.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.10.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81699
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 119 – 133[article]
Titre : Rethinking big data: A review on the data quality and usage issues Type de document : Article/Communication Auteurs : Jianzheng Liu, Auteur ; Jie Li, Auteur ; Weifeng Li, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 134 – 142 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données massives
[Termes IGN] évaluation des données
[Termes IGN] qualité des données
[Termes IGN] traitement de données localiséesRésumé : (auteur) The recent explosive publications of big data studies have well documented the rise of big data and its ongoing prevalence. Different types of “big data” have emerged and have greatly enriched spatial information sciences and related fields in terms of breadth and granularity. Studies that were difficult to conduct in the past time due to data availability can now be carried out. However, big data brings lots of “big errors” in data quality and data usage, which cannot be used as a substitute for sound research design and solid theories. We indicated and summarized the problems faced by current big data studies with regard to data collection, processing and analysis: inauthentic data collection, information incompleteness and noise of big data, unrepresentativeness, consistency and reliability, and ethical issues. Cases of empirical studies are provided as evidences for each problem. We propose that big data research should closely follow good scientific practice to provide reliable and scientific “stories”, as well as explore and develop techniques and methods to mitigate or rectify those ‘big-errors’ brought by big data. Numéro de notice : A2016-548 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.11.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.11.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81702
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 134 – 142[article]
