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Filtering airborne Laser scanner data: a wavelet-based clustering method / T. Thuy in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 11 (November 2004)
[article]
Titre : Filtering airborne Laser scanner data: a wavelet-based clustering method Type de document : Article/Communication Auteurs : T. Thuy, Auteur ; M. Tokunaga, Auteur Année de publication : 2004 Article en page(s) : pp 1267 - 1274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de groupement
[Termes IGN] analyse multirésolution
[Termes IGN] données laser
[Termes IGN] erreur moyenne quadratique
[Termes IGN] filtrage numérique d'image
[Termes IGN] modèle de dispersion
[Termes IGN] modèle numérique de terrain
[Termes IGN] pente
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] Stuttgart
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] Tokyo (Japon)
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Filtering the airborne laser scanner data is challenging due to the complex distribution of objects on Earth's surface and it is still in development stage. This problem has been investigated so far with varieties of algorithms, but they suffer from different magnitudes of drawbacks. This study proposed a new and improved hybrid method based on multi-resolution analysis. Wavelet was adopted in this multi-resolution clustering approach. It enabled the classification of objects based on their size and the efficiency to filter out unwanted information at a specific resolution, and the proposed algorithm is named the ALSwave (Airborne Laser Scanner Wavelet) method. ALSwave has been tested on two data sets acquired over the urban areas of Tokyo, Japan and Stuttgart, Germany. The results showed a well-filtered, bare earth surface coupled with acceptable computational time. The accuracy assessment was carried out by comparison between the filtered bare earth surface by ALSwave and the manually filtered surface. The Root Mean Square Error (RMSE) follows a linear relationship with respect to terrain slope. This wavelet-based approach has opened a new way to filter the raw laser data that subsequently generates fast and more accurate digital terrain models. Numéro de notice : A2004-457 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.11.1267 En ligne : https://doi.org/10.14358/PERS.70.11.1267 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26977
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 11 (November 2004) . - pp 1267 - 1274[article]Wavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches / Nina S.N. Lam in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)
[article]
Titre : Wavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches Type de document : Article/Communication Auteurs : Nina S.N. Lam, Auteur ; S.W. Myint, Auteur ; J.M. Tyler, Auteur Année de publication : 2004 Article en page(s) : pp 803 - 812 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse fractale
[Termes IGN] autocorrélation spatiale
[Termes IGN] classification dirigée
[Termes IGN] image multibande
[Termes IGN] matrice
[Termes IGN] milieu urbain
[Termes IGN] précision de la classification
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Traditional image processing techniques have proven inadequate for urban mapping using high spatial resolution remote-sensing images. This study examined and evaluated wavelet transforms for urban texture analysis and image classification using high spatial resolution ATLAS imagery. For the purpose of comparison and to evaluate the effectiveness of the wavelet approaches, two different fractal approaches (isarithm and triangular prism), spatial autocorrelation (Moran's I and Geary's C), and spatial co-occurrence matrix of the selected urban classes were examined using 65 X 65, 33 X 33, and 17 X 17 samples with a pixel size of 2.5 m. Results from this study suggest that a multi-band and multi-level wavelet approach can be used to drastically increase the classification accuracy. The fractal techniques did not provide satisfactory classification accuracy. Spatial autocorrelation and spatial co-occurrence techniques were found to be relatively effective when compared to the fractal approaches. It can be concluded that the wavelet transform approach is the most accurate of all four approaches. Numéro de notice : A2004-273 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.7.803 En ligne : https://doi.org/10.14358/PERS.70.7.803 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26800
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 7 (July 2004) . - pp 803 - 812[article]Fusion on multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition / M. Gonzalez-Audicana in IEEE Transactions on geoscience and remote sensing, vol 42 n° 6 (June 2004)
[article]
Titre : Fusion on multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition Type de document : Article/Communication Auteurs : M. Gonzalez-Audicana, Auteur ; J.L. Saleta, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 1291 - 1299 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] fusion d'images
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image SPOT
[Termes IGN] transformation en ondelettes
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) Since Chavez proposed the highpass filtering procedure to fuse multispectral and panchromatic images, several fusion methods have been developed based on the same principle: to extract from the panchromatic image spatial detail information to later inject it into the multispectral one. In this paper, we present new fusion alternatives based on the same concept, using the mul-resolution wavelet decomposition to execute the detail extraction phase and the intensity-hue-saturation (IHS) and principal component analysis (PCA) procedures to inject the spatial detail of the panchromatic image into the multispectral one. The multiresoluson wavelet decomposition has been performed using both decimated and undecimated algorithms and the resulting merged images compared both spectral and spatially. These fusion methods, as well as standard IHS-, PCA-, and wavelet-based methods have been used to merge Systeme Pour l'Observation de la Terre (SPOT) A XI and SPOT 4 M images with a ratio 4: 1. We have estimated the validity of each fusion method by analyzing, visually and quantitatively, the quality of the resulting fused images. The methoddogical approaches proposed in this paper result in merged images with improved quality with respect to those obtained by standard IHS, PCA, and standard wavelet-based fusion methods. For both proposed fusion methods, better results are obtained when an undecimated algorithm is used to perform the multiresolution wavelet decomposition. Numéro de notice : A2004-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.825593 En ligne : https://doi.org/10.1109/TGRS.2004.825593 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26789
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 6 (June 2004) . - pp 1291 - 1299[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04061 RAB Revue Centre de documentation En réserve L003 Disponible 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]Evaluation comparative en cartographie forestière de l'analyse de texture et de la transformée en paquets d'ondelettes par le moyen d'un classifieur / A. Hammouch in Photo interprétation, vol 40 n° 1 (Mars 2004)
[article]
Titre : Evaluation comparative en cartographie forestière de l'analyse de texture et de la transformée en paquets d'ondelettes par le moyen d'un classifieur Type de document : Article/Communication Auteurs : A. Hammouch, Auteur ; J.M. Boucher, Auteur ; D. Aboutajdine, Auteur Année de publication : 2004 Article en page(s) : pp 11 - 23 Langues : Français (fre) Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] forêt
[Termes IGN] image SPOT
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Dans cet article nous présentons les résultats d'une étude comparative de deux approches de classifications appliquées à des zones forestières d'une image de SPOT. La première approche est basée sur l'analyse des caractèristiques spatiales de la texture ; elle concerne six méthodes. La deuxième est basée sur l'analyse spectrale à partir de décompositions en ondelettes et en paquets d'ondelettes ; quatre types de transformées sont concernés. La classification est réalisée à l'aide d'un réseau de neurones multicouches. L'objectif visé par cette étude est d'évaluer l'efficacité des méthodes retenues pour une exploitation cartographique forestière automatisée. Numéro de notice : A2004-252 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26779
in Photo interprétation > vol 40 n° 1 (Mars 2004) . - pp 11 - 23[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 104-04011 RAB Revue Centre de documentation Revues en salle Disponible A wavelet approach to road extraction from high spatial resolution remotely-sensed imagery / Qiaoping Zhang in Geomatica, vol 58 n° 1 (March 2004)PermalinkApplication of wavelet transform for extracting edges of paddy fields from remotely sensed images / T. Ishida in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)PermalinkEffiziente Wavelet Filterung mit hoher Zeit-Frequenz-Auflösung / O. Fabert (2004)PermalinkManual of photogrammetry, fifth edition / J. Chris Mcglone (2004)PermalinkThéorie et traitement du signal, 2. Méthodes de base pour l'analyse et le traitement du signal / Messaoud Benidir (2004)PermalinkData fusion and feature extraction in the wavelet domain / Magnus Orn Ulfarsson in International Journal of Remote Sensing IJRS, vol 24 n° 20 (October 2003)PermalinkMulti-band wavelet for using Spot panchromatic and multispectral images / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 5 (May 2003)PermalinkWavelet triangulated irregular networks / J. Wu in International journal of geographical information science IJGIS, vol 17 n° 3 (may 2003)PermalinkModeling and reduction of SAR interferometric phase noise in the wavelet domain / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkTraitement d'images / E. Lefebvre (2002)Permalink