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Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping / R. Pu in Remote sensing of environment, vol 91 n° 2 (30/05/2004)
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Titre : Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping Type de document : Article/Communication Auteurs : R. Pu, Auteur ; P. Gong, Auteur Année de publication : 2004 Article en page(s) : pp 212 - 224 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte de la végétation
[Termes IGN] extraction automatique
[Termes IGN] forêt
[Termes IGN] houppier
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] Leaf Area Index
[Termes IGN] ondelette
[Termes IGN] performance
[Termes IGN] réflectance de surface
[Termes IGN] transformation en ondelettesRésumé : (Auteur) A comparison of the performance of three feature extraction methods was made for mapping forest crown closure (CC) and leaf area index (LAI) with EO-1 Hyperion data. The methods are band selection (SB), principal component analysis (PCA) and wavelet transform (WT). Hyperion data were acquired on October 9, 200 1. A total of 38 field measurements of CC and LAI were collected on August 10 - 11, 2001, at Blodgett Forest Research Station, University of California at Berkeley, USA. The analysis method consists of (1) conducting atmospheric correction with High Accuracy Atmospheric Correction for Hyperspectral Data (HATCH) to retrieve surface reflectance, (2) extracting features with the three methods: SB, PCA and WT, (3) establishing multivariate regression prediction models, (4) predicting and mapping pixel-based CC and LAI values, and (5) validating the CC and LAI mapped results with photo-interpreted CC and LAI values. The experimental results indicate that the energy features extracted by the WT method are the most effective for mapping forest CC and LAI (mapped accuracy (MA) for CC = 84.90%, LAI MA= 75.39%), followed by the PCA method (CC MA= 77.42%, LAI MA= 52.36%). The SB method performed the worst (CC MA= 57.77%, LAI MA= 50.87%). Numéro de notice : A2004-243 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.03.006 En ligne : https://doi.org/10.1016/j.rse.2004.03.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26770
in Remote sensing of environment > vol 91 n° 2 (30/05/2004) . - pp 212 - 224[article]Classification of contamination in salt marsh plant using hyperspectral reflectance / M.D. Wilson in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)
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Titre : Classification of contamination in salt marsh plant using hyperspectral reflectance Type de document : Article/Communication Auteurs : M.D. Wilson, Auteur ; S.L. Ustin, Auteur ; D.M. Rocke, Auteur Année de publication : 2004 Article en page(s) : pp 1088 - 1095 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] contamination
[Termes IGN] image hyperspectrale
[Termes IGN] marais salé
[Termes IGN] pétrole
[Termes IGN] pollution des sols
[Termes IGN] réflectance spectrale
[Termes IGN] réflectance végétaleRésumé : (Auteur) In this paper, we compare the classification effectiveness of two relatively new techniques on data consisting of leaf-level reflectance from five species of salt marsh and two species of crop plants (in four experiments) that have been exposed to varying levels of different heavy metal or petroleum toxicity, with a control treatment for each experiment. If these methodologies work well on leaf-level data, then there is hope that they will also work well on data from air- and spaceborne platforms. The classification methods compared were support vector classification (SVC) of exposed and nonexposed plants based on the spectral reflectance data, and partial least squares compression of the spectral reflectance data followed by classification using logistic discrimination (PLSALD). The statistic we used to compare the effectiveness of the methodologies was the leave-one-out cross-validation estimate of the prediction error. Our results suggest that both techniques perform reasonably well, but that SVC was superior to PLS/LD for use on hyperspectral data and it is worth exploring as a technique for classifying heavy-metal or petroleum exposed plants for the more complicated data from airand spaceborne sensors. Numéro de notice : A2004-195 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.823278 En ligne : https://doi.org/10.1109/TGRS.2003.823278 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26722
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 5 (May 2004) . - pp 1088 - 1095[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04051 RAB Revue Centre de documentation En réserve L003 Disponible Potential for calibrating airborne video imagery using preflight calibration coefficients / A. Edirisinghe in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)
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Titre : Potential for calibrating airborne video imagery using preflight calibration coefficients Type de document : Article/Communication Auteurs : A. Edirisinghe, Auteur ; J.P. Louis, Auteur ; G.E. Chapman, Auteur Année de publication : 2004 Article en page(s) : pp 573 - 580 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] caméra vidéo numérique
[Termes IGN] capteur aérien
[Termes IGN] étalonnage au sol
[Termes IGN] étalonnage radiométrique
[Termes IGN] image vidéo
[Termes IGN] modèle de transfert radiatifRésumé : (Auteur) The low-cost Multispectral Airborne Video System (MAVS), developed using off-the-shelf components, is predominantly being used for agricultural and environmental monitoring applications in Australia. In order to guarantee quality of operational imagery regular radiometric calibration checks, under both preflight and in-flight environments, are a necessity. While preflight calibration is conducted in the field with relative ease, to conduct in-flight calibration checks during operational missions is difficult, especially when onboard calibration instrumentation is not available. The calibration of MAVS imagery in flight requires a radiative transfer code such as the 6S to simulate the radiation signal at the operational altitude. A comparison of the simulated in-flight calibration equation with the corresponding preflight calibration equation showed a statistically significant agreement for every MAVS band, demonstrating the stability of response of the instrument in the air. This MAVS response stability indicates a potential for calibrating operational airborne imagery using preflight calibration equations. A few simulated in-flight calibration checks, in addition to regular preflight calibrations, could still be carried out during the flight season to verify system radiometric response in the air. Numéro de notice : A2004-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.5.573 En ligne : https://doi.org/10.14358/PERS.70.5.573 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26707
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 5 (May 2004) . - pp 573 - 580[article]Seeing the trees in the forest: Using Lidar and multispectral data fusion with local filtering and variable window size for estimating tree height / S.C. Pospecu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)
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Titre : Seeing the trees in the forest: Using Lidar and multispectral data fusion with local filtering and variable window size for estimating tree height Type de document : Article/Communication Auteurs : S.C. Pospecu, Auteur ; R. Wynne, Auteur Année de publication : 2004 Article en page(s) : pp 589 - 604 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] feuillu
[Termes IGN] fusion d'images
[Termes IGN] hauteur des arbres
[Termes IGN] identification automatique
[Termes IGN] image multibande
[Termes IGN] modèle de régression
[Termes IGN] Pinus (genre)Résumé : (Auteur) The main study objective was to develop robust processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating plot-level tree height by measuring individual trees identifiable on the three-dimensional lidar surface. Lidar processing techniques included data fusion with multispectral optical data and local filtering with both square and circular windows of variable size. The lidar system used for this study produced an average footprint of 0.65 m and an average distance between laser shots of 0.7 m. The lidar data set was acquired over deciduous and coniferous stands with settings typical of the southeastern United States. The lidar-derived tree measurements were used with regression models and cross-validation to estimate tree height on 0.017-ha plots. For the pine plots, lidar measurements explained 97 percent of the variance associated with the mean height of dominant trees. For deciduous plots, regression models explained 79 percent of the mean height variance for dominant trees. Filtering for local maximum with circular windows gave better fitting models for pines, while for deciduous trees, filtering with square windows provided a slightly better model fit. Using lidar and optical data fusion to differentiate between forest types provided better results for estimating average plot height for pines. Estimating tree height for deciduous plots gave superior results without calibrating the search window size based on forest type. Numéro de notice : A2004-181 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.70.5.589 En ligne : https://doi.org/10.14358/PERS.70.5.589 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26708
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 5 (May 2004) . - pp 589 - 604[article]Land cover characterization of temperate east Asia using multi-temporal vegetation sensor data / S.H. Boles in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
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Titre : Land cover characterization of temperate east Asia using multi-temporal vegetation sensor data Type de document : Article/Communication Auteurs : S.H. Boles, Auteur ; X. Xiao-Ping, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 477 - 489 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Asie orientale
[Termes IGN] base de données d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] Enhanced vegetation index
[Termes IGN] image Aqua-MODIS
[Termes IGN] image multitemporelle
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] occupation du sol
[Termes IGN] photo-identification
[Termes IGN] zone tempéréeRésumé : (Auteur) Temperate East Asia (TEA) is characterized by diverse land cover types, including forest and agricultural lands, one of the world's largest temperate grasslands, and extensive desert and barren landscapes. In this paper, we explored the potential of SPOT-4 VEGETATION (VGT) data for the classification of land cover types in TEA. An unsupervised classification was performed using multi-temporal (March November 2000) VGT-derived spectral indices (Land Surface Water Index [LSWI] and Enhanced Vegetation Index [EVI]) to generate a land cover map of TEA (called VGT-TEA). Land cover classes from VGT-TEA were aggregated to broad, general class types, and then compared and validated with classifications derived from fine-resolution (Landsat) data. VGT-TEA produced reasonable results when compared to the Landsat products. Analysis of the seasonal dynamics of LSWI and EVI allows for the identification of distinct growth patterns between different vegetation types. We suggest that LSWI seasonal curves can be used to define the growing season for temperate deciduous vegetation, including grassland types. Seasonal curves of EVI tend to have a slightly greater dynamic range than LSWI during the peak growing season and can be useful in discriminating between vegetation types. By using these two complementary spectral indices, VGT data can be used to produce timely and detailed land cover and phenology maps with limited ancillary data needed. Numéro de notice : A2004-191 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.01.016 En ligne : https://doi.org/10.1016/j.rse.2004.01.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26718
in Remote sensing of environment > vol 90 n° 4 (30/04/2004) . - pp 477 - 489[article]Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-machine technique / B.C. Gao in Remote sensing of environment, vol 90 n° 4 (30/04/2004)
PermalinkA comparative assessment on the use of SAR and high-resolution optical images in ocean dynamics studies / D.A. Gagliardini in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)
PermalinkSeaWIFS validation in European coastal waters using optical and bio-geochemical measurements / S.J. Lavender in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)
PermalinkClassification of remotely sensed imagery stochastic gradient boosting as a refinement of classification tree analysis / R. Lawrence in Remote sensing of environment, vol 90 n° 3 (15/04/2004)
PermalinkHyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modelling and validation in the context of precision agriculture / D. Haboudane in Remote sensing of environment, vol 90 n° 3 (15/04/2004)
PermalinkClassifying land development in high-resolution panchromatic satellite images using straight-line statistics / C. Unsalan in IEEE Transactions on geoscience and remote sensing, vol 42 n° 4 (April 2004)
PermalinkLinear mixture analysis-based compression for hyperspectral image analysis / Q. Du in IEEE Transactions on geoscience and remote sensing, vol 42 n° 4 (April 2004)
PermalinkThe determination of the atmospheric optical thickness over western Europe using SeaWiFS imagery / A.A. Kokhanovsky in IEEE Transactions on geoscience and remote sensing, vol 42 n° 4 (April 2004)
PermalinkCloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information / S.K. Nair in Remote sensing of environment, vol 90 n° 2 (30/03/2004)
PermalinkTopographic information of sand dunes as extracted from shading effects using Landsat images / N. Levin in Remote sensing of environment, vol 90 n° 2 (30/03/2004)
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