Centre dedocumentation
scientifique

Automatic illumination-invariant image-to-geometry registration in outdoor environments / Christian Kehl in Photogrammetric record, vol 32 n° 158 (June - july 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 158 (June - july 2017) . - pp 93 - 118 Titre : Automatic illumination-invariant image-to-geometry registration in outdoor environments Type de document : Article/Communication Auteurs : Christian Kehl, Auteur ; Simon J. Buckley, Auteur ; Sophie Viseur, Auteur ; Robert L. Gawthorpe, Auteur ; John Howell, Auteur Année de publication : 2017 Article en page(s) : pp 93 - 118 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] algorithme d'appariement [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] géométrie de l'image [Termes descripteurs IGN] intensité lumineuse [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] SIFT (algorithme) [Termes descripteurs IGN] traitement d'image Résumé : (Auteur) Image-to-geometry registration is the basis of many applications for texturing and interpreting 3D surface models. Feature-based matching is an established, automatic approach which creates 2D–3D correspondences based on salient points and their radiometric neighbourhood. This paper presents an experimental approach for assessing the accuracy of several matching algorithms in challenging imaging environments that are subject to significant outdoor illumination variations. Furthermore, a collection of accuracy assessment metrics and quality heuristics emerge from the presented approach to guide a user during the examination of registration results. As a result of the experiments, two novel salient point descriptor matching combinations outperform the standard scale-invariant feature transform (SIFT) operator on the task of image-to-image and image-to-geometry registration under varying illumination conditions. Numéro de notice : A2017-361 Thématique : IMAGERIE Nature : Article En ligne : http://doi.org/10.1111/phor.12188 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85772 [article]

Hyperspectral and lidar intensity data fusion : A framework for the rigorous correction of illumination, anisotropic effects, and cross calibration / Maximilian Brell in IEEE Transactions on geoscience and remote sensing, vol 55 n° 5 (May 2017)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 55 n° 5 (May 2017) . - pp 2799 - 2810 Titre : Hyperspectral and lidar intensity data fusion : A framework for the rigorous correction of illumination, anisotropic effects, and cross calibration Type de document : Article/Communication Auteurs : Maximilian Brell, Auteur ; Karl Segl, Auteur ; Luis Guanter, Auteur ; Bodo Bookhagen, Auteur Année de publication : 2017 Article en page(s) : pp 2799 - 2810 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] anisotropie [Termes descripteurs IGN] correction radiométrique [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] étalonnage croisé [Termes descripteurs IGN] fusion d'images [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] intensité lumineuse [Termes descripteurs IGN] réflectance spectrale Résumé : (Auteur) The fusion of hyperspectral imaging (HSI) sensor and airborne lidar scanner (ALS) data provides promising potential for applications in environmental sciences. Standard fusion approaches use reflectance information from the HSI and distance measurements from the ALS to increase data dimensionality and geometric accuracy. However, the potential for data fusion based on the respective intensity information of the complementary active and passive sensor systems is high and not yet fully exploited. Here, an approach for the rigorous illumination correction of HSI data, based on the radiometric cross-calibrated return intensity information of ALS data, is presented. The cross calibration utilizes a ray tracing-based fusion of both sensor measurements by intersecting their particular beam shapes. The developed method is capable of compensating for the drawbacks of passive HSI systems, such as cast and cloud shadowing effects, illumination changes over time, across track illumination, and partly anisotropy effects. During processing, spatial and temporal differences in illumination patterns are detected and corrected over the entire HSI wavelength domain. The improvement in the classification accuracy of urban and vegetation surfaces demonstrates the benefit and potential of the proposed HSI illumination correction. The presented approach is the first step toward the rigorous in-flight fusion of passive and active system characteristics, enabling new capabilities for a variety of applications. Numéro de notice : A2017-469 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1109/TGRS.2017.2654516 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86392 [article]

An inquiry on contrast enhancement methods for satellite images / Jose-Luis Lisani in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 12 (December 2016) . - pp 7044 - 7054 Titre : An inquiry on contrast enhancement methods for satellite images Type de document : Article/Communication Auteurs : Jose-Luis Lisani, Auteur ; Julien Michel, Auteur ; Jean-Michel Morel, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 7044 - 7054 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] amélioration du contraste [Termes descripteurs IGN] couleur à l'écran [Termes descripteurs IGN] détection d'ombre [Termes descripteurs IGN] intensité lumineuse Résumé : (Auteur) Enhancement algorithms are absolutely necessary for the visualization of both shadowed and bright image regions. Defining algorithms that permit to visualize them simultaneously without altering the image content is therefore extremely relevant for remote sensing applications. In this paper, we present the results of two successive benchmarks which tested the performance of the state-of-the-art contrast enhancement and benchmarks algorithms applied to satellite images. Experts from the French Space Agency Centre National d'Etudes Spatiales (CNES), Service Régional de Traitement d'Image et de Télédétection (SERTIT), and two European universities assessed the quality and fidelity of the results of several state-of-the-art enhancement algorithms on the excerpts from seven images (five Pleiades and two simulated 30-cm images). The first benchmark permitted to tighten the procedure and the selection of the test images for the second one, and to make a first selection of concurrent algorithms. The second benchmark not only included the best algorithms selected by the first benchmark but also added even more competitors in the tone-mapping class. The results of both benchmarks were coherent. They point a particular retinex-based algorithm as the best compromise between the competitive requirements of a contrast enhancement in dark regions and a preservation of detail in bright parts. Numéro de notice : A2016-924 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1109/TGRS.2016.2594339 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83328 [article]

Automated co-registration of satellite images through luminance transformation / Deniz Gerçek in Photogrammetric record, vol 31 n° 156 (December 2016 - February 2017)  

Public [article]  inPhotogrammetric record > vol 31 n° 156 (December 2016 - February 2017) . - pp 407 - 427 Titre : Automated co-registration of satellite images through luminance transformation Type de document : Article/Communication Auteurs : Deniz Gerçek, Auteur ; Davut Çeşmeci, Auteur ; M. Kemal Güllü, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 407 - 427 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] appariement d'images [Termes descripteurs IGN] chambre de prise de vue numérique [Termes descripteurs IGN] image satellite [Termes descripteurs IGN] intensité lumineuse [Termes descripteurs IGN] partitionnement par bloc [Termes descripteurs IGN] radiance [Termes descripteurs IGN] transformation de la radiance Résumé : (auteur) This paper presents an extensive evaluation of a novel intensity-based image co-registration method called luminance transformed differences (LTD) which is compared with current alternatives. The proposed method suggests the use of the luminance transform operation (LTO) to reduce luminance differences between images that may well affect image registration accuracy. Registration is implemented in a block-based fashion in order to achieve a non-rigid transformation at a sub-pixel accuracy level. Sample images from different sensors, exhibiting various geometric distortions, are registered to test the various intensity-based image registration alternatives. LTD is found to outperform other methods; its high accuracy can be achieved even using small searching blocks which substantially reduce the computational cost. Numéro de notice : A2016--004 Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12160 date de publication en ligne : 04/10/2016 En ligne : https://doi.org/10.1111/phor.12160 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83822 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2016041	SL	Revue	Centre de documentation	Revues en salle	Disponible

An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data / Fabiane Bordin in European journal of remote sensing, vol 49 (2016)  

Public [article]  inEuropean journal of remote sensing > vol 49 (2016) . - pp 301 - 315 Titre : An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data Type de document : Article/Communication Auteurs : Fabiane Bordin, Auteur ; Fabrício Galhardo Müller, Auteur ; Elba Calesso Teixeira, Auteur ; Sílvia Beatriz Alves Rolim, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 301 - 315 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] effet de bord [Termes descripteurs IGN] intensité lumineuse Résumé : (auteur) The terrestrial laser scanner is an equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. However, before intensity data can be analyzed, it must be processed in order to minimize the edge or border effect, one of the most serious problems of LIDAR's intensity data. Our research has focused on characterizing the edge effect behavior as well as to develop an algorithm to minimize edge effect distortion automatically (IRA). The IRA showed to be effective recovering 35.71% of points distorted by the edge effect, providing significant improvements and promising results for the development of applications based on TLS data intensity to many studies. Numéro de notice : A2016-830 Thématique : IMAGERIE Nature : Article En ligne : http://dx.doi.org/10.5721/EuJRS20164917 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82713 [article]

Efficient terrestrial laser scan segmentation exploiting data structure / Hamid Mahmoudabadi in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)  

Permalink

Satellite images analysis for shadow detection and building height estimation / Gregoris Liasis in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)  

Permalink

3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction / Xi Zhu in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)  

Permalink

Orthophotographie nocturne à haute résolution : la nuit, vue du ciel / Eva Frangiamone in Géomatique suisse, vol 112 n° 12 (décembre 2014)

Permalink

Orthophotographie nocturne à haute résolution / Anonyme in Géomatique expert, n° 100 (01/09/2014)

Permalink

Using thermal time and pixel purity for enhancing biophysical variable time series: An interproduct comparison / Grégory Duveiller in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)  

Permalink

Combination of overlap-driven adjustment and Phong model for LiDAR intensity correction / Q. Ding in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)

Permalink

Représentation des couleurs d'une carte pour l'analyse : proportions, relations, harmonie ? / Laurent Jégou in Cartes & Géomatique, n° 213 (septembre 2012)  

Permalink

Statistical analysis of signal measurement in time-of-flight cameras / F. Mufti in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 5 (September - October 2011)

Permalink

Influence of image characteristics on image quality / T. Royer (2010)

Permalink