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A knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1473 - 1485 Titre : A knowledge-based approach to urban feature classification using aerial imagery with Lidar data Type de document : Article/Communication Auteurs : M. Huang, Auteur ; S. Shyue, Auteur ; L.H. Lee, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1473 - 1485 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification à base de connaissances [Termes IGN] classification par maximum de vraisemblance [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image aérienne [Termes IGN] image multibande [Termes IGN] image RVB [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] seuillage d'image Résumé : (Auteur) While the spatial resolution of remotely sensed data has improved, multispectral imagery is still not sufficient for urban classification. Problems include the difficulty in discriminating between trees and grass, the misclassification of buildings due to diverse roof compositions and shadow effects, and the misclassification of cars on roads. Recently, lidar (light detection and ranging) data have been integrated with remotely sensed data to obtain better classification results. In this study, we first conducted maximum likelihood classification (MLC) experiments, a traditional pixel-based classification method, to identify features suitable for urban classification using lidar data and aerial imagery. The addition of lidar height data improved the overall accuracy by up to 28 and 18 percent, respectively, compared to cases with only red–green–blue (RGB) and multispectral imagery. To further improve classification, we propose a knowledge-based classification system (KBCS) that includes a three-level height, “asphalt road, vegetation, and non-vegetation” (A–V–N) classification rule-based scheme and knowledge-based correction (KBC). The proposed KBCS improved overall accuracy by 12 and 7 percent compared to maximum likelihood and object-based classification, respectively. Copyright ASPRS Numéro de notice : A2008-476 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1473 En ligne : https://doi.org/10.14358/PERS.74.12.1473 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29545 [article]

Radiometric calibration and characterization of large-format digital photogrammetric sensors in a test field / Lauri Markelin in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1487 - 1500 Titre : Radiometric calibration and characterization of large-format digital photogrammetric sensors in a test field Type de document : Article/Communication Auteurs : Lauri Markelin, Auteur ; Eija Honkavaara, Auteur ; J. Peltoniemi, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1487 - 1500 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] ADS40 [Termes IGN] chambre à grand format [Termes IGN] chambre DTC [Termes IGN] DMC [Termes IGN] étalonnage de chambre métrique [Termes IGN] étalonnage radiométrique [Termes IGN] linéarité [Termes IGN] modèle linéaire [Termes IGN] qualité radiométrique (image) [Termes IGN] test de performance [Termes IGN] UltraCam Résumé : (Auteur) Test field calibration is an attractive approach to calibrating and characterizing the radiometry of airborne imaging instruments. In this study, a method for radiometric test field calibration for digital photogrammetric instruments is developed, and it is used to evaluate the radiometric performance of large-format photogrammetric sensors as the ADS40, the DMC, and the UltraCamD. In the study, linearity, dynamic range, sensitivity, and absOlute calibration were evaluated. The results demonstrated the high radiometric quality of the sensors tested. All the sensors were linear in response. The DMC used the 12-bit dynamic range entirely, while the ADS40 and the UltraCamD indicated close to the 13-bit dynamic range. The sensors performed quite differently with respect to sensitivity. With the DMC and the UltraCamD a risk of overexposure appeared, while the color channels of the ADS40 showed low sensitivity. Because the sensors were linear in response, they could be absolutely calibrated using linear models. Copyright ASPRS Numéro de notice : A2008-477 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1487 En ligne : https://doi.org/10.14358/PERS.74.12.1487 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29546 [article]

Assessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1551 - 1560 Titre : Assessing geometric reliability of corrected images from very high resolution satellites Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur Année de publication : 2008 Article en page(s) : pp 1551 - 1560 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] fiabilité des données [Termes IGN] image à résolution métrique [Termes IGN] image à résolution submétrique [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] image Quickbird [Termes IGN] méthode de Monte-Carlo [Termes IGN] orthoimage [Termes IGN] point d'appui [Termes IGN] point de vérification [Termes IGN] qualité géométrique (image) [Termes IGN] valeur aberrante Résumé : (Auteur) Since the launch of Ikonos by Space Imaging, LLC on 24 September 1999, the very high resolution (VHR) satellite imagery has been applied to diverse fields. Every application needs a certain geometric accuracy in the corrected image; therefore, the planimetric accuracy control of VHR satellite imagery proves to be fundamental. As a rule of thumb, the Root Mean Square error (RMS) computed at independent check points (ICPs) is the global measure most widely used for accuracy assessment in VHR imagery. This paper presents an assessment, focused on two QuickBird and Ikonos panchromatic single images, of the number of ICPs required to obtain an estimation of one-dimensional accuracy (RMS1d) with a certain confidence level or reliability. Thus, two theoretical approaches have been tested to estimate reliability depending on the number of ICPs, and they have been experimentally validated using the Monte Carlo simulation method. The residual’s samples were generated for both satellite images in the best possible operational conditions: (a) using optimal sensor models, (b) with high accuracy ground points measured by Differential Global Positioning System, (c) with an adequate number of well distributed ground control points (GCPs), and (d) using GCPs and ICPs well-defined on the raw images, i.e., with a reasonably low pointing error. Under these conditions, the two theoretical models tested provided a good fit (r2 >97 percent) for the simulated data offered by Monte Carlo when outliers were withdrawn. There were no notable differences between the results obtained from the Ikonos and QuickBird scenes. Copyright ASPRS Numéro de notice : A2008-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1551 En ligne : https://doi.org/10.14358/PERS.74.12.1551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29547 [article]

Classification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1585 - 1596 Titre : Classification of very high spatial resolution imagery based on the fusion of edge and multispectral information Type de document : Article/Communication Auteurs : X. Huang, Auteur ; L. Zhang, Auteur ; P. Li, Auteur Année de publication : 2008 Article en page(s) : pp 1585 - 1596 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse en composantes indépendantes [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] détection de contours [Termes IGN] extraction de traits caractéristiques [Termes IGN] image à résolution subdecamétrique [Termes IGN] image à très haute résolution [Termes IGN] image multibande [Termes IGN] image Quickbird [Termes IGN] matrice de co-occurrence [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] prise en compte du contexte Résumé : (Auteur) A new algorithm based on the fusion of edge and multispectral information is proposed for the pixel-wise classification of very high-resolution (VHR) remotely sensed imagery. It integrates the multispectral, spatial and structural information existing in the image. The edge feature is first extracted using an improved multispectral edge detection method, which takes into account the original multispectral bands, the linear NDVI, and the independent spectral components extracted by independent component analysis (ICA). Direction-lines are then defined using the edge and multispectral information. Two effective spatial measures are calculated based on the direction-lines in order to describe the contextual information and strengthen the multispectral feature space. Then, the support vector machine (SVM) is employed to classify the hybrid structural-multispectral feature set. In experiments, the proposed spatial measures were compared with the pixel shape index (PSI) and the gray level co-occurrence matrix (GLCM). The experimental results show that the proposed algorithm performs well in terms of classification accuracies and visual interpretation. Copyright ASPRS Numéro de notice : A2008-479 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1585 En ligne : https://doi.org/10.14358/PERS.74.12.1585 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29548 [article]

Line features between object space and image space / Jen-Jer Jaw in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1521 - 1528 Titre : Line features between object space and image space Type de document : Article/Communication Auteurs : Jen-Jer Jaw, Auteur ; N.h Perny, Auteur Année de publication : 2008 Article en page(s) : pp 1521 - 1528 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement de données localisées [Termes IGN] colinéarité [Termes IGN] contrainte géométrique [Termes IGN] données localisées 2D [Termes IGN] données localisées 3D [Termes IGN] espace image [Termes IGN] espace objet [Termes IGN] ligne caractéristique [Termes IGN] objet géographique linéaire [Termes IGN] traitement d'image Résumé : (Auteur) In recent years, linear features have been gradually integrated into photogrammetry-related applications to estimate orientation parameters and facilitate object reconstruction, to name just a few. Yet, the correspondence of the conjugate linear features between different spaces or coordinate systems remains crucial to the goal of photogrammetric automation. When establishing exterior orientation of images on the line feature basis, the identifications and measurements of control line features must be involved. In this study, the authors develop an approach for effectively matching line features between object space and image space. The proposed algorithms start from projecting 3D line features into 2D image space employing collinearity equations with approximate orientation parameters. Then, the candidate lines detected from the images are chosen and matched with the 3D line features by imposing, in a sequential manner, geometric constraints that include angle, distance, reference point, and imaging geometry checks. Furthermore, a two-stage matching strategy, where the outcome of the first matching stage by partial 3D line features provides confined matching candidates for the second matching stage, is found effective in lowering the computational load, especially when faced with a great amount of 3D line features. Preliminary tests demonstrate successful, as well as satisfactory, 3D to 2D line feature correspondences using the proposed approach and strategy. Copyright ASPRS Numéro de notice : A2008-524 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1521 En ligne : https://doi.org/10.14358/PERS.74.12.1521 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29593 [article]