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Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study / Gyanesh Chander in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
[article]
Titre : Assessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study Type de document : Article/Communication Auteurs : Gyanesh Chander, Auteur ; Dennis L. Helder, Auteur ; David Aaron, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1282 - 1296 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande spectrale
[Termes IGN] étalonnage relatif
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] image Terra-MODIS
[Termes IGN] incertitude de mesurage
[Termes IGN] incertitude géométrique
[Termes IGN] incertitude spectrale
[Termes IGN] Libye
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] réponse spectraleRésumé : (Auteur) Cross-calibration of satellite sensors permits the quantitative comparison of measurements obtained from different Earth Observing (EO) systems. Cross-calibration studies usually use simultaneous or near-simultaneous observations from several spaceborne sensors to develop band-by-band relationships through regression analysis. The investigation described in this paper focuses on evaluation of the uncertainties inherent in the cross-calibration process, including contributions due to different spectral responses, spectral resolution, spectral filter shift, geometric misregistrations, and spatial resolutions. The hyperspectral data from the Environmental Satellite SCanning Imaging Absorption SpectroMeter for Atmospheric CartograpHY and the EO-1 Hyperion, along with the relative spectral responses (RSRs) from the Landsat 7 Enhanced Thematic Mapper (TM) Plus and the Terra Moderate Resolution Imaging Spectroradiometer sensors, were used for the spectral uncertainty study. The data from Landsat 5 TM over five representative land cover types (desert, rangeland, grassland, deciduous forest, and coniferous forest) were used for the geometric misregistrations and spatial-resolution study. The spectral resolution uncertainty was found to be within 0.25%, spectral filter shift within 2.5%, geometric misregistrations within 0.35%, and spatial-resolution effects within 0.1% for the Libya 4 site. The one-sigma uncertainties presented in this paper are uncorrelated, and therefore, the uncertainties can be summed orthogonally. Furthermore, an overall total uncertainty was developed. In general, the results suggested that the spectral uncertainty is more dominant compared to other uncertainties presented in this paper. Therefore, the effect of the sensor RSR differences needs to be quantified and compensated to avoid large uncertainties in cross-calibration results. Numéro de notice : A2013-124 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2228008 En ligne : https://doi.org/10.1109/TGRS.2012.2228008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32262
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 1 (March 2013) . - pp 1282 - 1296[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013031A RAB Revue Centre de documentation En réserve L003 Disponible Dual-Polarimetric signatures of vegetation – a case study Biebrza / Dariusz Ziolkowski in Geoinformation issues, vol 5 n° 1 (2013)
[article]
Titre : Dual-Polarimetric signatures of vegetation – a case study Biebrza Type de document : Article/Communication Auteurs : Dariusz Ziolkowski, Auteur ; Iwona Malek, Auteur ; Maria Budzynska, Auteur Année de publication : 2013 Article en page(s) : pp 29 - 41 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] image ALOS-PALSAR
[Termes IGN] parc naturel national
[Termes IGN] polarimétrie radar
[Termes IGN] Pologne
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] végétationRésumé : (auteur) The main objective of the research presented in this article is to analyse the polarimetric characteristics of three main types of natural vegetation occurring in the Biebrza National Park – forests, shrubs and non-forest land communities covering wetlands. The variability of many different polarimetric products of signal decomposition, depending on the type of vegetation, the microwave image acquisition period and the method of their preliminary treatment, was analysed. An attempt was also made to assess how much polari-metric methods can be useful for modelling biophysical parameters of vegetation. The study used six dual-polarized (HH and HV) ALOS satellite images recorded during the growing season in the years 2008, 2009 and 2010. The images were processed in parallel, using different parameters, in order to estimate the impact of the spatial resolution of images and methods of speckle noise filtering on the value of polarimetric characteristics of different types of vegetation. All methods of polarimetric signal decompositions available using ESA POLSARPRO 4.2 software were tested. Three of them, i.e. the Alpha parameter from the H/A/Alpha decomposition (Cloud and Pottier, 1996) containing information about the dominant scattering mechanisms and two types of entropy: the entropy from the H/A/Alpha decomposition and the Shannon Entropy were selected for further analysis. The analysed years differed quite significantly from one another in the agro-meteorological conditions of plant growth. It was a cause of significant differences between the values of polarimetric characteristics in images recorded at the same season but in different years. During the growing season individual products of polarimetric signal decomposition are characterized by different variability. This demonstrates the dependence of different polarimetric characteristics on various biophysical parameters of the environment. It was observed that they are characterized by greater information content than the backscattering coefficient, especially if they are subjected to the process of increasing the resolution (oversampling). They can be used to model the biophysical parameters of vegetation. Numéro de notice : A2013-787 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans En ligne : http://www.igik.edu.pl/upload/File/wydawnictwa/givol5dzimmbmin.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76832
in Geoinformation issues > vol 5 n° 1 (2013) . - pp 29 - 41[article]EuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images / Eija Honkavaara (2013)
Titre : EuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images : final report Type de document : Chapitre/Contribution Auteurs : Eija Honkavaara, Auteur ; Lauri Markelin, Auteur ; Roman Arbiol, Auteur ; Lucas Martinez, Auteur Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2013 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] équilibrage radiométrique
[Termes IGN] étalonnage radiométrique
[Termes IGN] image numérique
[Termes IGN] limite de résolution géométrique
[Termes IGN] modélisation radiométrique de prise de vue
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] précision radiométrique
[Termes IGN] qualité radiométrique (image)
[Termes IGN] réflectanceNote de contenu : 1. Introduction
2. Phase 1 - Review
3. Phase 2 - Empirical investigation - set-up
4. Phase 2 - Radiometric calibration and characterization of the sensor/system
5. Phase 2 - Spatial resolution assessment
6. Phase 2 - Reflectance image production and image block equalization
7. Phase 2 - Applications oriented investigations
8. Summary and discussion
9. ConclusionNuméro de notice : H2013-008 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Chapître / contribution Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75592 LiDAR-Landsat data fusion for large-area assessment of urban land cover: Balancing spatial resolution, data volume and mapping accuracy / K. Singh in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)
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Titre : LiDAR-Landsat data fusion for large-area assessment of urban land cover: Balancing spatial resolution, data volume and mapping accuracy Type de document : Article/Communication Auteurs : K. Singh, Auteur ; J. Volger, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 110 - 121 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] classification par arbre de décision
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] conflation
[Termes IGN] données lidar
[Termes IGN] données massives
[Termes IGN] image Landsat-TM
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] pouvoir de résolution géométriqueRésumé : (Auteur) The structural characteristics of Light Detection and Ranging (LiDAR) data are increasingly used to classify urban environments at fine scales, but have been underutilized for distinguishing heterogeneous land covers over large urban regions due to high cost, limited spectral information, and the computational difficulties posed by inherently large data volumes. Here we explore tradeoffs between potential gains in mapping accuracy with computational costs by integrating structural and intensity surface models extracted from LiDAR data with Landsat Thematic Mapper (TM) imagery and evaluating the degree to which TM, LiDAR, and LiDAR-TM fusion data discriminated land covers in the rapidly urbanizing region of Charlotte, North Carolina, USA. Using supervised maximum likelihood (ML) and classification tree (CT) methods, we classified TM data at 30 m and LiDAR data and LiDAR-TM fusions at 1 m, 5 m, 10 m, 15 m and 30 m resolutions. We assessed the relative contributions of LiDAR structural and intensity surface models to classification map accuracy and identified optimal spatial resolution of LiDAR surface models for large-area assessments of urban land cover. ML classification of 1 m LiDAR-TM fusions using both structural and intensity surface models increased total accuracy by 32% compared to LiDAR alone and by 8% over TM at 30 m. Fusion data using all LiDAR surface models improved class discrimination of spectrally similar forest, farmland, and managed clearings and produced the highest total accuracies at 1 m, 5 m, and 10 m resolutions (87.2%, 86.3% and 85.4%, respectively). At all resolutions of fusion data and using either ML or CT classifier, the relative contribution of the LiDAR structural surface models (canopy height and normalized digital surface model) to classification accuracy is greater than the intensity surface. Our evaluation of tradeoffs between data volume and thematic map accuracy for this study system suggests that a spatial resolution of 5 m for LiDAR surface models best balances classification performance and the computational challenges posed by large-area assessments of land cover. Numéro de notice : A2012-607 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.09.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.09.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32053
in ISPRS Journal of photogrammetry and remote sensing > vol 74 (Novembrer 2012) . - pp 110 - 121[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012081 SL Revue Centre de documentation Revues en salle Disponible Spatial resolution imagery requirements for identifying structure damage in a hurricane disaster: A cognitive approach / S. Battersby in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 6 (June 2012)
[article]
Titre : Spatial resolution imagery requirements for identifying structure damage in a hurricane disaster: A cognitive approach Type de document : Article/Communication Auteurs : S. Battersby, Auteur ; M. Hodgson, Auteur ; Jing Wang, Auteur Année de publication : 2012 Article en page(s) : pp 625 - 635 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse visuelle
[Termes IGN] classification à base de connaissances
[Termes IGN] cognition
[Termes IGN] dommage matériel
[Termes IGN] pouvoir de résolution géométrique
[Termes IGN] risque naturel
[Termes IGN] seuillage d'image
[Termes IGN] tempête
[Termes IGN] zone sinistréeRésumé : (Auteur) In disaster response, timely collection and exploitation of remotely sensed imagery is of increasing importance. Image exploitation approaches during the immediate (first few days) aftermath of a disaster are predominantly through visual analysis rather than automated classification methods. While the temporal needs for obtaining the imagery are fairly clear (within a one- to three-day window), there have only been educated guesses about the spatial resolution requirements necessary for the imagery for visual analysis. In this paper, we report results from an empirical study to identify the coarsest spatial resolution that is adequate for tasks required immediately following a major disaster. The study was conducted using cognitive science experimental methods and evaluated the performance of individuals with varying image interpretation skills in the task of mapping hurricane-related residential structural damage. Through this study, we found 1.5 m as a threshold for the coarsest spatial resolution imagery that can successfully be used for this task. The results of the study are discussed in terms of the likelihood of collection of this type of imagery within the temporal window required for emergency management operations. Numéro de notice : A2012-250 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.6.625 En ligne : https://doi.org/10.14358/PERS.78.6.625 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31696
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 6 (June 2012) . - pp 625 - 635[article]Les principes fondamentaux de la lasergrammétrie terrestre : Systèmes et caractéristiques (partie 1/2) / Tania Landes in XYZ, n° 128 (septembre - novembre 2011)PermalinkDigital camera performance where spatial resolution is determined by the optical component / G.H. Thomson in Photogrammetric record, vol 25 n° 129 (March - May 2010)PermalinkEffects of Lidar post-spacing and DEM resolution to mean slope estimation / T. Edwin in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)PermalinkSensor modelling and validation for linear array aerial and satellite imagery / Sultan Aksakal Kocaman (2009)PermalinkSea ice deformation state from Synthetic Aperture Radar Imagery: part 2 Effects of spatial resolution and noise level / W. Dierking in IEEE Transactions on geoscience and remote sensing, vol 46 n° 8 (August 2008)PermalinkEvaluation of resolving power and MTF of DMC / Eija Honkavaara in Revue Française de Photogrammétrie et de Télédétection, n° 183 (Septembre 2006)PermalinkPermalinkA practical study on precision and resolution in vector geographical databases / François Vauglin (1999)PermalinkEtude de la résolution spatiale optimale dans un milieu forestier de moyenne montagne / Dave Dionne in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 141 (Janvier 1996)PermalinkModélisation de la production agricole à moyenne échelle / Cécile Vignolles (1996)Permalink