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Mapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember unmixing / Luca Demarchi in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 2012)
[article]
Titre : Mapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember unmixing Type de document : Article/Communication Auteurs : Luca Demarchi, Auteur ; Jonathan Cheung-Wai Chan, Auteur ; J. Ma, Auteur ; Frank Canters, Auteur Année de publication : 2012 Article en page(s) : pp 99 - 112 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] image à ultra haute résolution
[Termes IGN] image PROBA-CHRIS
[Termes IGN] occupation du sol
[Termes IGN] satellite agile
[Termes IGN] surface imperméable
[Termes IGN] zone urbaineRésumé : (Auteur) In this paper, the potential of superresolution (SR) image reconstruction methods for sub-pixel land-cover mapping in dense urban areas is studied. A multiple endmember approach (MESMA) is used for unmixing both original hyperspectral CHRIS/Proba and SR enhanced CHRIS/Proba data. Validation based on high resolution orthophotos (25 cm) shows that land-cover fraction maps generated from SR-enhanced CHRIS/Proba data (9 m) have a lower overall fractional error compared to the land-cover fractions produced from the original CHRIS data (18 m), when validating both results at the 18 m resolution. Validation of SR results at the 9 m resolution produces an overall mean absolute error (OMAE) of 16.7% compared to an OMAE of 14.3% at the 18 m resolution, with the original data, yet the impervious surface map produced at 9 m has a much higher level of detail than the original map, better representing the built-up pattern of the urban environment. Detailed analysis of impervious surface mapping results for different reference proportion intervals points at smaller average fractional errors for impervious surface fractions produced from SR-enhanced data when validation is done at the original 18 m resolution, over the entire range of proportions. Only for pixels not containing any impervious surface cover the fractional error is marginally higher than with the original data. These results demonstrate the potential of SR-enhanced data for more accurate impervious surface mapping in dense and heterogeneous urban areas. Numéro de notice : A2012-496 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.05.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.05.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31942
in ISPRS Journal of photogrammetry and remote sensing > vol 72 (August 2012) . - pp 99 - 112[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012061 SL Revue Centre de documentation Revues en salle Disponible Near real-time flood detection in urban and rural areas using high-resolution synthetic aperture radar images / D.C. Mason in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)
[article]
Titre : Near real-time flood detection in urban and rural areas using high-resolution synthetic aperture radar images Type de document : Article/Communication Auteurs : D.C. Mason, Auteur ; Ian J. Davenport, Auteur ; J.C. Neal, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 3041 - 3052 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Angleterre
[Termes IGN] détection
[Termes IGN] image TerraSAR-X
[Termes IGN] inondation
[Termes IGN] temps réel
[Termes IGN] zone rurale
[Termes IGN] zone urbaineRésumé : (Auteur) A near real-time flood detection algorithm giving a synoptic overview of the extent of flooding in both urban and rural areas, and capable of working during night-time and day-time even if cloud was present, could be a useful tool for operational flood relief management. The paper describes an automatic algorithm using high-resolution synthetic aperture radar (SAR) satellite data that builds on existing approaches, including the use of image segmentation techniques prior to object classification to cope with the very large number of pixels in these scenes. Flood detection in urban areas is guided by the flood extent derived in adjacent rural areas. The algorithm assumes that high-resolution topographic height data are available for at least the urban areas of the scene, in order that a SAR simulator may be used to estimate areas of radar shadow and layover. The algorithm proved capable of detecting flooding in rural areas using TerraSAR-X with good accuracy, classifying 89% of flooded pixels correctly, with an associated false positive rate of 6%. Of the urban water pixels visible to TerraSAR-X, 75% were correctly detected, with a false positive rate of 24%. If all urban water pixels were considered, including those in shadow and layover regions, these figures fell to 57% and 18%, respectively. Numéro de notice : A2012-380 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2178030 Date de publication en ligne : 21/02/2012 En ligne : https://doi.org/10.1109/TGRS.2011.2178030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31826
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 8 (August 2012) . - pp 3041 - 3052[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Building edge detection using small-footprint airborne full-waveform lidar data / Jean-Christophe Michelin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)
[article]
Titre : Building edge detection using small-footprint airborne full-waveform lidar data Type de document : Article/Communication Auteurs : Jean-Christophe Michelin , Auteur ; Clément Mallet , Auteur ; Nicolas David , Auteur Année de publication : 2012 Projets : 1-Pas de projet / Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Annals Commission 3 Article en page(s) : pp 147 - 152 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] empreinte
[Termes IGN] forme d'onde pleine
[Termes IGN] modèle physique
[Termes IGN] précision planimétrique
[Termes IGN] reconnaissance de formes
[Termes IGN] zone urbaineRésumé : (auteur) The full-waveform lidar technology allows a complete access to the information related to the emitted and backscattered laser signals. Although most of the common applications of full-waveform lidar are currently dedicated to the study of forested areas, some recent studies have shown that airborne full-waveform data is relevant for urban area analysis. We extend the field to pattern recognition with a focus on retrieval. Our proposed approach combines two steps. In a first time, building edges are coarsely extracted. Then, a physical model based on the lidar equation is used to retrieve a more accurate position of the estimated edge than the size of the lidar footprint. Another consequence is the estimation of more accurate planimetric positions of the extracted echoes. Numéro de notice : A2012-713 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-I-3-147-2012 En ligne : http://dx.doi.org/10.5194/isprsannals-I-3-147-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82702
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol I-3 (2012) . - pp 147 - 152[article]Estimating urban leaf area index (LAI) of individual trees with hyperspectral data / R. Jensen in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)
[article]
Titre : Estimating urban leaf area index (LAI) of individual trees with hyperspectral data Type de document : Article/Communication Auteurs : R. Jensen, Auteur ; P. Hardin, Auteur ; A. Hardin, Auteur Année de publication : 2012 Article en page(s) : pp 495 - 504 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse spectrale
[Termes IGN] arbre (flore)
[Termes IGN] feuillu
[Termes IGN] image hyperspectrale
[Termes IGN] Leaf Area Index
[Termes IGN] réflectance végétale
[Termes IGN] Utah (Etas-Unis)
[Termes IGN] zone urbaineRésumé : (Auteur) This study estimated leaf area index (LAI) of individual urban trees as a function of spectral features derived from airborne hyperspectral data. Candidate features included spectral indexes, principal components, and calibrated reflectance values. Hyperspectral images were acquired over Provo, Utah area, and LAI of 204 deciduous trees was measured in the field. These tree canopies were identified on the images, and spectral features were extracted using both whole canopy and mean-lit spectra techniques. Multiple regression and artificial neural networks were used to model leaf area and determine which spectral features were most strongly related to it. Results established that simple hyperspectral vegetation indexes explained more variation in urban tree LAI than either principal component scores or simple band reflectance values. The neural network model trained with a subset of those indexes explained more variation in LAI (R2 = 64.8 percent) than any of the multiple regression models tested. Numéro de notice : A2012-234 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.5.495 En ligne : https://doi.org/10.14358/PERS.78.5.495 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31680
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 5 (May 2012) . - pp 495 - 504[article]Urban tree cover mapping with relief-corrected aerial imagery and lidar / B. Lehrbass in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)
[article]
Titre : Urban tree cover mapping with relief-corrected aerial imagery and lidar Type de document : Article/Communication Auteurs : B. Lehrbass, Auteur ; Jing Wang, Auteur Année de publication : 2012 Article en page(s) : pp 473 - 484 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] arbre (flore)
[Termes IGN] arbre urbain
[Termes IGN] carte de la végétation
[Termes IGN] classification orientée objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] flore urbaine
[Termes IGN] fusion d'images
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface
[Termes IGN] Ontario (Canada)
[Termes IGN] orthoimage
[Termes IGN] précision de la classification
[Termes IGN] zone urbaineRésumé : (Auteur) Urban tree canopy cover is often mapped by classifying high-resolution multispectral imagery. However, it can be difficult to differentiate low-lying vegetation from tree cover using optical data alone. Combining a lidar-derived Normalized Digital Surface Model (ndsm) improves classification accuracy, but the optical imagery is often imperfectly aligned with the NDSM. Aerial imagery is normally orthorectified using the ground elevation. However, tall objects in the orthorectified imagery still suffer from relief displacement. This can cause classification errors when lidar and the aerial imagery are combined. This study presents an approach for urban tree cover mapping composed of two parts: a method for correcting the relief displacement of trees in previously orthorectified aerial imagery, and an object-based classification method which combines relief-corrected multispectral aerial imagery with a lidar-derived NDSM. Using these methods, the tree cover was mapped for a 1,600 ha region of London, Ontario, Canada with improved positional and classification accuracy. Numéro de notice : A2012-233 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.5.473 En ligne : https://doi.org/10.14358/PERS.78.5.473 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31679
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 5 (May 2012) . - pp 473 - 484[article]BASIAS, inventaire et analyse de sites industriels des Bouches-du-Rhône / Jonathan Moreau (2012)PermalinkChange detection of trees in urban areas using multi-temporal airborne lidar point clouds / Wen Xiao (2012)PermalinkPermalinkParticipation à l'évolution du SIG de la Communauté d'Agglomération "Les Portes de l'Essonne" / Jonathan Lao (2012)PermalinkLe Système d'Information Géographique (SIG) au service de la réglementation sur la publicité extérieure / Aristide Jasper Mban (2012)Permalinkvol 66 n° 6 supplement - December 2011 - Commercial supplement issue : Advances in LIDAR data processing and applications (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Frédéric BretarPermalinkExtracting roads from dense point clouds in large scale urban environment / A. Boyko in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)PermalinkFusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments / Michael Ying Yang in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)PermalinkLa modélisation 3D : une nouvelle voie pour les documents d'urbanisme : Application à l'optimisation énergétique des bâtiments / Aurélie Prévost in Revue internationale de géomatique, vol 21 n° 4 (décembre 2011 – février 2012)PermalinkRecognizing basic structures from mobile laser scanning data for road inventory studies / Shi Pu in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)Permalink