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Alternative methodologies for the internal quality control of parallele LIDAR strips / A. Habib in IEEE Transactions on geoscience and remote sensing, vol 48 n° 1 Tome 1 (January 2010)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 48 n° 1 Tome 1 (January 2010) . - pp 221 - 236 Titre : Alternative methodologies for the internal quality control of parallele LIDAR strips Type de document : Article/Communication Auteurs : A. Habib, Auteur ; A.P. Kesrting, Auteur ; K.I. Bang, Auteur ; D.C. Lee, Auteur Année de publication : 2010 Article en page(s) : pp 221 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] bruit (théorie du signal) [Termes IGN] contrôle qualité [Termes IGN] données lidar [Termes IGN] erreur systématique [Termes IGN] lasergrammétrie [Termes IGN] procédé [Termes IGN] recouvrement d'images [Termes IGN] semis de points Résumé : (Auteur) Light Detection and Ranging (LiDAR) systems have been widely adopted for the acquisition of dense and accurate topographic data over extended areas. Although the utilization of this technology has increased in different applications, the development of standard methodologies for the quality control (QC) of LiDAR data has not followed the same trend. In other words, a lack in reliable, practical, cost-effective, and commonly acceptable QC procedures is evident. A frequently adopted procedure for QC is comparing the LiDAR data to ground control points. Aside from being expensive, this approach is not accurate enough for the verification of horizontal accuracy, unless specifically designed LiDAR targets are used. This paper is dedicated to providing accurate, economical, and convenient internal QC procedures for the evaluation of LiDAR data, which is captured from parallel flight lines. The underlying concept of the proposed methodologies is that, in the absence of systematic and random errors in system parameters and measurements, conjugate surface elements in overlapping strips should perfectly match each other. Consistent incompatibilities and the quality of fit between conjugate surface elements in overlapping strips can be used to detect systematic errors in the system parameters/measurements and to evaluate the noise level in the LiDAR point cloud, respectively. Experimental results from real data demonstrate that all the proposed methods, with one exception, produce compatible estimates of systematic discrepancies between the involved data sets, as well as good quantification of inherent noise. Copyright IEEE Numéro de notice : A2010-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2026424 Date de publication en ligne : 15/09/2009 En ligne : https://doi.org/10.1109/TGRS.2009.2026424 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30216 [article]

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Error budget of Lidar systems and quality control of the derived data / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 9 (September 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 9 (September 2009) . - pp 1093 - 1108 Titre : Error budget of Lidar systems and quality control of the derived data Type de document : Article/Communication Auteurs : A. Habib, Auteur ; K.I. Bang, Auteur ; A. Kersting, Auteur ; D.C. Lee, Auteur Année de publication : 2009 Article en page(s) : pp 1093 - 1108 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] contrôle qualité [Termes IGN] données lidar [Termes IGN] erreur aléatoire [Termes IGN] erreur systématique [Termes IGN] lasergrammétrie [Termes IGN] modèle mathématique [Termes IGN] point d'appui Résumé : (Auteur) Lidar systems have been widely adopted for the acquisition of dense and accurate topographic data over extended areas. Although the utilization of this technology has increased in different applications, the development of standard methodologies for the quality assurance of lidar systems and quality control of the derived data has not followed the same trend. In other words, a lack of reliable, practical, cost-effective, and commonly-acceptable methods for quality evaluation is evident. A frequently adopted procedure for quality evaluation is the comparison between lidar data and ground control points. Besides being expensive, this approach is not accurate enough for the verification of the horizontal accuracy, which is known to be worse than the vertical accuracy. This paper is dedicated to providing an accurate, economical, and convenient quality control methodology for the evaluation of lidar data. The paper starts with a brief discussion of the lidar mathematical model, which is followed by an analysis of possible random and systematic errors and their impact on the resulting surface. Based on the discussion of error sources and their impact, a tool for evaluating the quality of the derived surface is proposed. In addition to the verification of the data quality, the proposed method can be used for evaluating the system parameters and measurements. Experimental results from simulated and real data demonstrate the feasibility of the proposed tool. Copyright ASPRS Numéro de notice : A2009-371 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.9.1093 En ligne : https://doi.org/10.14358/PERS.75.9.1093 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30001 [article]

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Occlusion-based methodology for the classification of Lidar Data / A.F. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 6 (June 2009) . - pp 703 - 712 Titre : Occlusion-based methodology for the classification of Lidar Data Type de document : Article/Communication Auteurs : A.F. Habib, Auteur ; Y. Chang, Auteur ; D.C. Lee, Auteur Année de publication : 2009 Article en page(s) : pp 703 - 712 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] angle nadiral [Termes IGN] changement d'utilisation du sol [Termes IGN] détection d'objet [Termes IGN] détection de partie cachée [Termes IGN] données lidar [Termes IGN] extraction automatique [Termes IGN] filtrage statistique [Termes IGN] interpolation [Termes IGN] lasergrammétrie [Termes IGN] modèle numérique de surface [Termes IGN] relief [Termes IGN] semis de points Résumé : (Auteur) Lidar systems have been widely adopted for the acquisition of dense and accurate topographic data over extended areas. The level of detail and the quality of the collected point cloud motivated the research community to investigate the possibility of automatic object extraction from such data. Prior knowledge of the terrain surface will improve the performance of object detection and extraction procedures. In this paper, a new strategy for automatic terrain extraction from lidar data is presented. The proposed strategy is based on the fact that sudden elevation changes, which usually correspond to non-ground objects, will cause relief displacements in perspective views. The introduced relief displacements will occlude neighboring ground points. To start the process, we generate a digital surface model (DSM) from the irregular lidar points using an interpolation procedure. The presence of sudden-elevation changes and the resulting occlusions can be discerned by sequentially checking the off-nadir angles to the lines of sight connecting the DSM cells and a pre-defined set of synthesized projection centers. Detected occlusions are then used to identify the occluding points, which are hypothesized to be non-ground points. Surface roughness and discontinuities together with inherent noise in the point cloud will lead to some false hypotheses. Therefore, we use a statistical filter to remove these false hypotheses. The performance of the algorithm has been evaluated and verified using both simulated and real lidar datasets with varying levels of complexity. Copyright ASPRS Numéro de notice : A2009-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.6.703 En ligne : https://doi.org/10.14358/PERS.75.6.703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29892 [article]

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