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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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081-2021121 | SL | Revue | Centre de documentation | Revues en salle | Disponible |
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081-2021122 | DEP-RECF | Revue | Nancy | Dépôt en unité | Exclu du prêt |
Dépouillements


Feature matching for multi-epoch historical aerial images / Lulin Zhang in ISPRS Journal of photogrammetry and remote sensing, Vol 182 (December 2021)
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[article]
Titre : Feature matching for multi-epoch historical aerial images Type de document : Article/Communication Auteurs : Lulin Zhang , Auteur ; Ewelina Rupnik
, Auteur ; Marc Pierrot-Deseilligny
, Auteur
Année de publication : 2021 Article en page(s) : pp 176 - 189 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement de données localisées
[Termes IGN] chaîne de traitement
[Termes IGN] géoréférencement indirect
[Termes IGN] image ancienne
[Termes IGN] image multitemporelle
[Termes IGN] image RVB
[Termes IGN] méthode robuste
[Termes IGN] MicMac
[Termes IGN] modèle numérique de surface
[Termes IGN] orientation relative
[Termes IGN] point d'appui
[Termes IGN] transformation de HelmertRésumé : (auteur) Historical imagery is characterized by high spatial resolution and stereoscopic acquisitions, providing a valuable resource for recovering 3D land-cover information. Accurate geo-referencing of diachronic historical images by means of self-calibration remains a bottleneck because of the difficulty to find sufficient amount of feature correspondences under evolving landscapes. In this research, we present a fully automatic approach to detecting feature correspondences between historical images taken at different times (i.e., inter-epoch), without auxiliary data required. Based on relative orientations computed within the same epoch (i.e., intra-epoch), we obtain DSMs (Digital Surface Model) and incorporate them in a rough-to-precise matching. The method consists of: (1) an inter-epoch DSMs matching to roughly co-register the orientations and DSMs (i.e, the 3D Helmert transformation), followed by (2) a precise inter-epoch feature matching using the original RGB images. The innate ambiguity of the latter is largely alleviated by narrowing down the search space using the co-registered data. With the inter-epoch feature correspondences, we refine the image orientations and quantitatively evaluate the results (1) with DoD (Difference of DSMs), (2) with ground check points, and (3) by quantifying ground displacement due to an earthquake. We demonstrate that our method: (1) can automatically georeference diachronic historical images; (2) can effectively mitigate systematic errors induced by poorly estimated camera parameters; (3) is robust to drastic scene changes. Compared to the state-of-the-art, our method improves the image georeferencing accuracy by a factor of 2. The proposed methods are implemented in MicMac, a free, open-source photogrammetric software. Numéro de notice : A2021-781 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2021.10.008 Date de publication en ligne : 01/11/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2021.10.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98933
in ISPRS Journal of photogrammetry and remote sensing > Vol 182 (December 2021) . - pp 176 - 189[article]Réservation
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Feature matching for multi-epoch historical aerial images - pdf auteurAdobe Acrobat PDFA repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France / Arnaud Cerbelaud in ISPRS Journal of photogrammetry and remote sensing, Vol 182 (December 2021)
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[article]
Titre : A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France Type de document : Article/Communication Auteurs : Arnaud Cerbelaud, Auteur ; Laure Roupioz, Auteur ; Gwendoline Blanchet, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 153 - 175 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] Alpes-maritimes (06)
[Termes IGN] Aude (11)
[Termes IGN] bassin méditerranéen
[Termes IGN] catastrophe naturelle
[Termes IGN] classification dirigée
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] photo-interprétation
[Termes IGN] ruissellement
[Termes IGN] signature spectrale
[Termes IGN] tempêteRésumé : (auteur) Most flood hazards are induced either by river overflowing or intense overland flow following heavy rainfall, causing land surface damages under many forms. Until now, fine-scale detection of damages caused by intense rainwater runoff beyond the direct vicinity of major waterways has been scarcely explored using satellite remote sensing. In this work, three extreme storms in the Aude and Alpes-Maritimes departments in the South of France were investigated based on ground truths and very high resolution optical imagery (Pléiades satellite, IGN orthophotos). Plot delineation and land use information were combined to high revisit frequency and high resolution optical (Sentinel-2) and SAR (Sentinel-1) open-source data to test a simple automatic and replicable change detection method to locate damaged plots using supervised classification. Based on a unique training sample from the Aude floods of October 2018, combinations of plot-based spectral indicators allowed reaching overall detection accuracies greater than 85% on independent validation samples for all three events. A simple land use inter-class demeaning pre-processing used to account for land-specific seasonal variations improved event and site repeatability by lowering false detection rates down to a maximum of 13%. The benefits of introducing SWIR channel in addition to visible and near-infrared indices were limited to a few percentage points. SAR-derived proxies of soil moisture and roughness in weakly vegetated areas were consistent with the presence of degradations, with VV being the most sensitive polarization. However, classification accuracy was not significantly increased with Sentinel-1 data as compared to the exclusive use of Sentinel-2. Additional tests revealed that should the closest available optical images be rather distant in time because of persistent cloud cover, the method is reasonably robust as long as stable ground conditions were observed before the event. The need for images close in time was however emphasized through cross-site training. Indeed, efficient replicability from one site to another relied on using unaffected learning plots with slightly more inherent variability in time variations of spectral indices compared to the test site. Beyond the investigation of three case studies, this work demonstrates the performance and repeatability potential of a new probabilistic change detection method to expose various kinds of extreme rainfall-related disturbances, in particular those occurring far from the main hydrographic network. Should spatially accurate rainfall products be available, comprehensive mapping of intense stormwater runoff hazards using this original plot-based approach will then allow improving the understanding of overland flow generation mechanisms in hydrological models. Numéro de notice : A2021-852 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2021.10.013 Date de publication en ligne : 31/10/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2021.10.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99041
in ISPRS Journal of photogrammetry and remote sensing > Vol 182 (December 2021) . - pp 153 - 175[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2021121 SL Revue Centre de documentation Revues en salle Disponible 081-2021123 DEP-RECP Revue LaSTIG Dépôt en unité Exclu du prêt 081-2021122 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners / Berit Schmitz in ISPRS Journal of photogrammetry and remote sensing, Vol 182 (December 2021)
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[article]
Titre : Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners Type de document : Article/Communication Auteurs : Berit Schmitz, Auteur ; Heiner Kulhmann, Auteur ; Christoph Holst, Auteur Année de publication : 2021 Article en page(s) : pp 228 - 241 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] angle d'incidence
[Termes IGN] anisotropie
[Termes IGN] corrélation automatique de points homologues
[Termes IGN] distance euclidienne
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] matrice de covariance
[Termes IGN] modèle stochastique
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) The determination of a fully populated variance-covariance matrix (VCM) of a point cloud acquired with a terrestrial laser scanner (TLS) is not straightforward as physical correlations between TLS observations are not sufficiently known. Ignoring correlations leads to biased estimates, wrong modeling of surfaces, or the misinterpretation of geometric changes. For this reason, this study aims at progressing the empirical determination of correlations in TLS range observations by investigating short-scale correlations (mm to cm) of TLS rangefinders. Therefore, two methods are proposed to determine spatial correlations between TLS range observations. Both methods are evaluated for simulated laser scans, and then applied to empirical data of four different terrestrial laser scanners. The results demonstrate that short-scale correlations exist, and it is possible to quantify the relevant parameters to fill the VCM. It also shows that the correlation differs between the scanners and with the distance. Furthermore, we analyze the change of the correlation length with changing scanning configurations such as distance, incidence angle, and reflectivity with the result that this must be considered while applying the aforementioned methods to point clouds of large objects. All in all, this study trustfully quantifies physical short-scale correlations yielding from the rangefinder and suggests a guideline to apply this to point clouds of large objects. Numéro de notice : A2021-853 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2021.10.012 Date de publication en ligne : 10/11/2021 En ligne : https://doi.org/10.1016/j.isprsjprs.2021.10.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99043
in ISPRS Journal of photogrammetry and remote sensing > Vol 182 (December 2021) . - pp 228 - 241[article]Réservation
Réserver ce documentExemplaires (3)
Code-barres Cote Support Localisation Section Disponibilité 081-2021121 SL Revue Centre de documentation Revues en salle Disponible 081-2021123 DEP-RECP Revue LaSTIG Dépôt en unité Exclu du prêt 081-2021122 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt