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Topographic corrections of satellite data for regional monitoring / S. Goslee in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)
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Titre : Topographic corrections of satellite data for regional monitoring Type de document : Article/Communication Auteurs : S. Goslee, Auteur Année de publication : 2012 Article en page(s) : pp 973 - 981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction atmosphérique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] indice de végétation
[Termes IGN] Pennsylvanie (Etats-Unis)
[Termes IGN] réflectance spectrale
[Termes IGN] soleil (étoile)
[Termes IGN] surveillance de la végétationRésumé : (Auteur) The increased availability of satellite imagery has made regional monitoring programs possible. To compare images taken at different times, variation in reflectance caused by the interaction of sun position and topography must be corrected. Previous studies of topographic correction meth-ods have often used only single scenes taken under good conditions, and even then have found mixed effects. Six correction methods were tested on two Landsat scenes (TM and etm+) in central Pennsylvania obtained at low, medium, and high solar elevations. The effects of the corrections on band reflectance values and two ratio-based vegetation indices were assessed. Lambertian methods should not be used for regional monitoring of vegetation: these corrections are not band-specific, and thus do not remove topographic effects on vegetation indices. Instead, non-Lambertian methods such as the c-correction or Minnaert methods, particularly cover-based modifications of the latter, should be used. No methods provide effective correction under conditions of low or negative illumination, though such conditions are often found. An integrated approach including atmospheric corrections may offer a way to reduce topographic effects even at low illumination. Numéro de notice : A2012-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.973 En ligne : https://doi.org/10.14358/PERS.78.9.973 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31890
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 973 - 981[article]A variational gradient-based fusion method for visible and SWIR imagery / H. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)
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Titre : A variational gradient-based fusion method for visible and SWIR imagery Type de document : Article/Communication Auteurs : H. Li, Auteur ; L. Zhang, Auteur ; H. Shen, Auteur ; P. Li, Auteur Année de publication : 2012 Article en page(s) : pp 947 - 958 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] débrumage
[Termes IGN] effet atmosphérique
[Termes IGN] fusion d'images
[Termes IGN] gradient
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-SWIR
[Termes IGN] longueur d'ondeRésumé : (Auteur) This paper presents a new variational gradient-based fusion method for visible and short-wave infrared (swm) imagery. The proposed method enables spatial enhancement and dehazing of visible imagery. Integrating gradients from SWIR imagery into visible imagery produces a single image with true color and sharp gradients. A constraint based on band correlation is included to improve the enhancement and implement dehazing. The band correlation is according to the quantitative relationship between the wavelength and the atmospheric effect caused by Rayleigh scattering. In this study, both clear and hazy Landsat ETM+ images are used in the experiments. By visual assessment, the gradient of the fused image is more salient than that of the original image, and the true color is well preserved. With the inclusion of the band correlation constraint, the proposed fusion method yields almost haze-free results. Quantitatively, the Metric Q of the fused images is significantly higher than that of the original images; the largest increase of the Metric Q in the experimental results is from 0.0114 to 0.0611. Moreover, for the results of the proposed method, the Metric Q increase in the visible bands declines from blue band to red band. Numéro de notice : A2012-442 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.947 En ligne : https://doi.org/10.14358/PERS.78.9.947 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31888
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 947 - 958[article]A robust signal preprocessing chain for small-footprint waveform LiDAR / J. Wu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)
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Titre : A robust signal preprocessing chain for small-footprint waveform LiDAR Type de document : Article/Communication Auteurs : J. Wu, Auteur ; Jan Van Aardt, Auteur ; J. Mcglinchy, Auteur ; Gregory P. Asner, Auteur Année de publication : 2012 Article en page(s) : pp 3242 - 3255 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Afrique du sud (état)
[Termes IGN] biomasse
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] étalonnage
[Termes IGN] forme d'onde
[Termes IGN] lasergrammétrie
[Termes IGN] prétraitement du signal
[Termes IGN] savane
[Termes IGN] signal lidarRésumé : (Auteur) The extraction of structural object metrics from a next-generation remote sensing modality, namely waveform Light Detection and Ranging (LiDAR), has garnered increasing interest from the remote sensing research community. However, the raw incoming (received) LiDAR waveform typically exhibits a stretched, misaligned, and relatively distorted character. In other words, the LiDAR signal is smeared and the effective temporal (vertical) resolution decreases, which is attributed to a fixed time span allocated for detection, the sensor's variable outgoing pulse signal, off-nadir scanning, the receiver impulse response impacts, and system noise. Theoretically, such a loss of resolution and increased data ambiguity can be remediated by using proven signal preprocessing approaches. In this paper, we present a robust signal preprocessing chain for waveform LiDAR calibration, which includes noise reduction, deconvolution, waveform registration, and angular rectification. This preprocessing chain was initially validated using simulated waveform data, which were derived via the digital imaging and remote sensing image generation modeling environment. We also verified the approach using real small-footprint waveform LiDAR data collected by the Carnegie Airborne Observatory in a savanna region of South Africa and specifically in terms of modeling woody biomass in this region. Metrics, including the spectral angle for cross-section recovery assessment and goodness-of-fit (R2) statistics, along with the root-mean-squared error for woody biomass estimation, were used to provide a comprehensive quantitative evaluation of the performance of this preprocessing chain. Results showed that our approach significantly increased our ability to recover the temporal signal resolution, improved geometric rectification of raw waveform LiDAR, and resulted in improved waveform-based woody biomass estimation. This preprocessing chain has the potential to be applied across the board for h- gh fidelity processing of small-footprint waveform LiDAR data, thereby facilitating the extraction of valid and useful structural metrics from ground objects. Numéro de notice : A2012-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2178420 Date de publication en ligne : 04/01/2012 En ligne : https://doi.org/10.1109/TGRS.2011.2178420 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31835
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 8 (August 2012) . - pp 3242 - 3255[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Stable target detection and coherence estimation in interferometric SAR stacks / P. Guccione in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)
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Titre : Stable target detection and coherence estimation in interferometric SAR stacks Type de document : Article/Communication Auteurs : P. Guccione, Auteur ; A. Monti-Guarnieri, Auteur Année de publication : 2012 Article en page(s) : pp 3171 - 3178 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] artefact
[Termes IGN] coin réflecteur
[Termes IGN] détection de cible
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] polarisation
[Termes IGN] qualité des donnéesRésumé : (Auteur) We propose a novel method to select long-term coherent targets from a set of repeated-pass interferometric acquisitions. The major assumption is that targets are so close together to share the same optical path. This leads to an efficient singular-value-decomposition-based estimator of the targets' phase and, then, to PS detection. The estimated phase can be used to define the PS coherence for each image. Being sensitive to acquisition and processing artifacts, the PS coherence is a valuable tool for quality assessment of the interferometric stack. Results are shown with real data sets in both single and full polarizations. Numéro de notice : A2012-386 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2178246 Date de publication en ligne : 18/01/2012 En ligne : https://doi.org/10.1109/TGRS.2011.2178246 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31832
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 8 (August 2012) . - pp 3171 - 3178[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Error assessment of the initial near real-time METOP ASCAT surface soil moisture product / S. Hahn in IEEE Transactions on geoscience and remote sensing, vol 50 n° 7 Tome 1 (July 2012)
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Titre : Error assessment of the initial near real-time METOP ASCAT surface soil moisture product Type de document : Article/Communication Auteurs : S. Hahn, Auteur ; T. Melzer, Auteur ; W. Wagner, Auteur Année de publication : 2012 Article en page(s) : pp 2556 - 2565 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] artefact
[Termes IGN] bande C
[Termes IGN] diffusomètre
[Termes IGN] humidité du sol
[Termes IGN] image ERS
[Termes IGN] image MetOp-ASCAT
[Termes IGN] modèle d'erreur
[Termes IGN] série temporelleRésumé : (Auteur) Since December 2008, the European Organisation for the Exploitation of Meteorological Satellites has been operationally distributing a global 25-km surface soil moisture product derived from the Advanced Scatterometer (ASCAT) onboard the meteorological operational platform (METOP) satellite METOP-A. Soil moisture is retrieved by using the semiempirical change detection method originally developed by the Vienna University of Technology (TU Wien) for the Active Microwave Instrument (AMI) flown on the European Remote Sensing (ERS) satellites ERS-1 and ERS-2. With the launch of the first of the three Meteorological Operational Platforms (METOP-A) in October 2006, ASCAT onboard METOP-A inherits and continues the role of his predecessor AMI. The original soil moisture retrieval algorithm (TU Wien model) was expected to be almost directly applicable for ASCAT with only minor changes, since the configuration and technical design is similar to the ERS scatterometers. Since the TU Wien model requires a robust historic long-term reference of scattering parameters, the initial near real-time METOP ASCAT soil moisture product had to rely on the model parameters derived from over 15 years of ERS-1/2. However, the combination of ASCAT backscatter measurements and ERS-1/2 historic long-term reference introduced some artifacts in the soil moisture product. The objectives of this paper were to analyze and investigate the impact of the ERS-1/2 historic long-term reference on the soil moisture retrieval. An error model has been developed to quantify the effects of the two main error sources: differences in spatial resolution and absolute calibration. The results of the study show that a simple model is able to describe the artifacts in the initial near real-time METOP ASCAT soil moisture product, which frequently occur in areas characterized by sharp backscatter contrasts. The expected overestimation of soil moisture using ERS-1/2 model parameters due to a calibration bias between AMI- and ASCAT could be modeled as well. Numéro de notice : A2012-352 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2183877 Date de publication en ligne : 27/02/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2183877 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31798
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 7 Tome 1 (July 2012) . - pp 2556 - 2565[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012071A RAB Revue Centre de documentation En réserve L003 Disponible A framework for integrating multi-accuracy spatial data in geographical applications / Alberto Belussi in Geoinformatica, vol 16 n° 3 (July 2012)
PermalinkGeospatial human-environment simulation through integration of massive multiplayer online games and geographic information systems / O. Ahlqvist in Transactions in GIS, vol 16 n° 3 (June 2012)
PermalinkKalideos OSR MiPy : un observatoire pour la recherche et la démonstration des applications de la télédétection à la gestion des territoires / Jean-Français Dejoux in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)
PermalinkOn the detectability of synthetic disturbances in FG5 absolute gravimetry data using lomb-scargle analysis / M. Orlob in Geomatica, vol 66 n° 2 (June 2012)
PermalinkOutils de prétraitements des images optiques Kalideos / Bruno Lafrance in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)
PermalinkRecent developments in Precise Point Positioning / Sunil Bisnath in Geomatica, vol 66 n° 2 (June 2012)
PermalinkUtilisation de l'imagerie radar TerraSar-X THRS pour le suivi de la coupe de canne à sucre à l'île de la Réunion / Nicolas Baghdadi in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)
PermalinkESA's Soil Moisture and Ocean Salinity mission : mission performance and operations / S. Mecklenburg in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
PermalinkEvaluation of bayesian despeckling and texture extraction methods based on Gauss–Markov and auto-binomial gibbs random fields: Application to TerraSAR-X data / D. Espinoza Molina in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 2 (May 2012)
PermalinkA first set of techniques to detect radio frequency interferences and mitigate their impact on SMOS data / R. Castro in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)
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