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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)
[article]
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 contexteRésumé : (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
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1585 - 1596[article]ICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas / Sophie Lacherade in Meteorology and Atmospheric Physics, vol 102 n° 3-4 (December 2008)
[article]
Titre : ICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas Type de document : Article/Communication Auteurs : Sophie Lacherade, Auteur ; Christophe Miesch, Auteur ; Didier Boldo , Auteur ; Xavier Briottet , Auteur ; Christophe Valorge, Auteur ; Hervé Le Men , Auteur Année de publication : 2008 Article en page(s) : pp 209 - 222 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction d'image
[Termes IGN] image aérienne
[Termes IGN] image PELICAN
[Termes IGN] modèle de transfert radiatif
[Termes IGN] modèle physique
[Termes IGN] radiance
[Termes IGN] réflectance du sol
[Termes IGN] scène urbaine
[Termes IGN] Toulouse
[Termes IGN] zone urbaineRésumé : (auteur) Automatic mapping of urban materials from remotely sensed radiance images remains difficult because of the complex phenomena induced by relief. Indeed, shadows and environment effects disrupt the radiance reaching the sensor. The measured radiance also depends on the illumination conditions of the observed area. This paper describes a new physical model, ICARE, able to solve the radiative transfer inversion problem in urban areas, in the reflective domain (0.4–2.5 µm), from high spatial and spectral resolution images. This new approach takes into account the relief, the spatial heterogeneity of the scene and atmospheric effects, in order to extract rigorously the ground surface reflectance. The resolution method consists of modelling separately the irradiance and radiance components at ground and sensor levels. Three input data are required to solve this inverse problem: atmospheric parameters (aerosol type and visibility), 3D digital vector models of the scene, and spectral at-sensor calibrated images of the scene. The validation of ICARE is checked through the CAPITOUL field campaign, carried out over Toulouse (France). Measurements were performed using two airborne Pelican image systems consisting of 8 high spatial (20 cm) and spectral (30 nm) resolution cameras. Results are presented over typical urban structures in Toulouse center. ICARE performance is expected to be better than 0.04 in the reflectance retrieval, even in shadowed areas. To quantify the gain brought by ICARE, a comparison between classification based on radiance and retrieved reflectance images, obtained by inversion, is introduced. The results show that the classification is improved from 54% for a flat ground assumption to 74% using ICARE. Numéro de notice : A2008-658 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00703-008-0316-5 Date de publication en ligne : 20/10/2008 En ligne : http://dx.doi.org/10.1007/s00703-008-0316-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99552
in Meteorology and Atmospheric Physics > vol 102 n° 3-4 (December 2008) . - pp 209 - 222[article]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)
[article]
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'imageRésumé : (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
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1473 - 1485[article]Traffic extraction and characterisation from optical remote sensing data / Stefan Hinz in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
Titre : Traffic extraction and characterisation from optical remote sensing data Type de document : Article/Communication Auteurs : Stefan Hinz, Auteur ; D. Lenhart, Auteur ; Jens Leitloff, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 424 - 440 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données routières
[Termes IGN] données multisources
[Termes IGN] extraction de données
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] modèle sémantique de données
[Termes IGN] prise en compte du contexte
[Termes IGN] surveillance routière
[Termes IGN] trafic routierRésumé : (Auteur) This paper presents a generic scheme to extract traffic information from both optical satellite imagery and optical airborne image sequences. The extraction is based on an explicit semantic model of traffic, from which, depending on the characteristics of the input data, different strategies for vehicle detection, vehicle queue extraction and motion estimation are derived. The model comprises different scales to exploit the scale-dependent properties of traffic imaged by optical sensors. It is furthermore extended by context information to include knowledge about background objects as well as metadata from a road database in a consistent way. Various tests with different input data have been carried out and compared with manually acquired ground truth data of vehicles and vehicle tracks. The results show clearly the high potential of airborne and spaceborne traffic monitoring, but also indicate room for methodological improvements and exhibit some inherent sensor-related drawbacks. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-421 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00497.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00497.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29492
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 424 - 440[article]Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ Image / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)
[article]
Titre : Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ Image Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; H. Ge, Auteur ; A. Xu, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1343 - 1350 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction d'image
[Termes IGN] image Landsat-ETM+
[Termes IGN] montagne
[Termes IGN] pente
[Termes IGN] réflectanceRésumé : (Auteur) The topographic effect on land surface reflectance is an important factor affecting quantitative analysis of remotely sensed data in mountainous regions. Different approaches have been developed to reduce topographical effects. Of the many methods, the Minnaert correction method is most frequently used for topographic correction, but a single global Minnaert value used in previous research cannot effectively reduce topographic effects on the remotely sensed data, especially in the areas with steep slopes. This paper explores the method to develop a pixel-based Minnaert coefficient image based on the established relationship between Minnaert coefficients and topographic slopes. A texture measure based on homogeneity is used to evaluate the topographic correction result. This study has demonstrated promising in reducing topographic effects on the Landsat ETM+ image with the pixel-based Minnaert correction method. Copyright ASPRS Numéro de notice : A2008-408 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.11.1343 En ligne : https://doi.org/10.14358/PERS.74.11.1343 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29400
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 11 (November 2008) . - pp 1343 - 1350[article]Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses / F. Aguera in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)PermalinkNeuro-fuzzy based analysis of hyperspectral imagery / F. Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)PermalinkSubpixel urban land cover estimation: comparing cubist, random forests, and support vector regression / J. Walton in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)PermalinkApproches de classification évidentielle et paradoxale d'images satellitaires multispectrales pour l'amélioration de la carte d'occupation du sol : application au milieu urbain et périurbain de la région d'Alger / R. Khedam in Revue Française de Photogrammétrie et de Télédétection, n° 190 (Septembre 2008)PermalinkCaractérisation d'un paysage forestier hétérogène par analyse orientée-objet d'une image ETM+ de Landsat : apport de la méthode pour l'aménagement forestier à l'échelle du paysage / K. Bencherif in Revue Française de Photogrammétrie et de Télédétection, n° 190 (Septembre 2008)PermalinkDetection, characterization, and modeling vegetation in urban areas from high-resolution aerial imagery / Corina Iovan in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 1 n° 3 (2008)PermalinkGeometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping / R. Li in Marine geodesy, vol 31 n° 3 (September - November 2008)PermalinkHigh resolution elevation data derived from stereoscopic CORONA imagery ground control: an approach using IKONOS and SRTM data / Nikolaos Galiatsatos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkOptimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkSurveillance de la désertification autour des points d'eau dans les parcours d'El Ouara (Tataouine, Tunisie) par des séries temporelles Landsat MSS/TM/ETM+ / B. Essifi in Revue Française de Photogrammétrie et de Télédétection, n° 190 (Septembre 2008)Permalink