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Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier / R. Philipps in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
[article]
Titre : Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier Type de document : Article/Communication Auteurs : R. Philipps, Auteur ; L. Watson, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 107 - 116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] classificateur paramétrique
[Termes IGN] classification hybride
[Termes IGN] décomposition d'image
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multitemporelle
[Termes IGN] précision de la classification
[Termes IGN] Rondonia (Brésil)
[Termes IGN] Virginie (Etats-Unis)Résumé : (Auteur) Feature reduction in a remote sensing dataset is often desirable to decrease the processing time required to perform a classification and improve overall classification accuracy. This paper introduces a feature reduction method based on the singular value decomposition (SVD). This SVD-based feature reduction method reduces the storage and processing requirements of the SVD by utilizing a training dataset. This feature reduction technique was applied to training data from two multitemporal datasets of Landsat TM/ETM+ imagery acquired over a forested area in Virginia, USA and Rondônia, Brazil. Subsequent parallel iterative guided spectral class rejection (pIGSCR) forest/non-forest classifications were performed to determine the quality of the feature reduction. The classifications of the Virginia data were five times faster using SVD-based feature reduction without affecting the classification accuracy. Feature reduction using the SVD was also compared to feature reduction using principal components analysis (PCA). The highest average accuracies for the Virginia dataset (88.34%) and for the Rondônia dataset (93.31%) were achieved using the SVD. The results presented here indicate that SVD-based feature reduction can produce statistically significantly better classifications than PCA. Copyright ISPRS Numéro de notice : A2009-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29660
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 107 - 116[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09011 SL Revue Centre de documentation Revues en salle Disponible Region based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
[article]
Titre : Region based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison Type de document : Article/Communication Auteurs : B. Wuest, Auteur ; Y. Zhang, Auteur Année de publication : 2009 Article en page(s) : pp 55 - 64 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] partition d'image
[Termes IGN] segmentation d'image
[Termes IGN] segmentation en régionsRésumé : (Auteur) The continued advancements in satellite sensor technologies have increased the number of objects that can be discriminated within satellite imagery. Effective segmentation of high resolution satellite imagery is currently a hot topic of research. Existing segmentation algorithms and applications contain many parameters and options which require the operator to select a proper set of parameters for a given data set. The setting of these parameters can be quite tedious and the same set of parameters may or may not work from one high resolution satellite image scene to the next. This paper presents a modification of a region based approach for unsupervised segmentation of high resolution satellite imagery as a solution to segmentation of land use coverage in QuickBird multispectral 2.44 m imagery. This type of segmentation is important to a variety of applications such as land use classification and urban planning. All region based segmentation approaches require a method for representing image regions/segments and judging the similarity between two given image regions/segments. In the proposed modification of this paper, region description is provided through the integration of band ratios. Region similarity measures are performed using Fuzzy Logic. The Hierarchical Split Merge Refinement (HSMR) algorithmic framework for unsupervised image segmentation is the foundation for this modification. In addition, this paper improves upon the merging and refinement processes of the HSMR algorithm. Test results demonstrate stable segmentation of land use areas across a variety of high resolution satellite images. Copyright ISPRS Numéro de notice : A2009-028 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.06.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29658
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 55 - 64[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09011 SL Revue Centre de documentation Revues en salle Disponible Remote sensing of soil salinization / G. Metternicht (2009)
Titre : Remote sensing of soil salinization : impact on land management Type de document : Monographie Auteurs : G. Metternicht, Éditeur scientifique ; J.A. Zinck, Éditeur scientifique Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2009 Importance : 374 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-1-4200-6502-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] anthropisation
[Termes IGN] carte thématique
[Termes IGN] estimation statistique
[Termes IGN] image ERS
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image radar
[Termes IGN] irrigation
[Termes IGN] marais
[Termes IGN] modélisation
[Termes IGN] radar pénétrant GPR
[Termes IGN] risque environnemental
[Termes IGN] risque naturel
[Termes IGN] salinitéRésumé : (Editeur) Recognized and advocated as a powerful tool, the role of remote sensing in identifying, mapping, and monitoring soil salinity and salinization will continue to expand. This book delineates how to combine science and geospatial technologies for smart environmental management.
It explores the integrated use of image spectroscopy, electromagnetic induction (EM), and ground-penetrating radar for assessing and mapping soil salinity at local and regional levels ; reviews salt types and salinity classification schemes and the remote sensing tools and techniques for mapping and monitoring ; discusses the application of soil salinity mapping using ground-based electromagnetic induction techniques ; includes model-based integrated methods for quantitative estimation of soil salinity using hyperspectral remote sensing data ; underlines the importance of understanding the basic spectral, physical, and chemical characteristics and environmental setting of salt-affected soils in the landscape for remote sensing of salinity.
The book includes analyses of basic issues of remote detection, such as the spectral behaviour of salt types and vegetation influence, and evaluations of currently available remote sensing platforms, delineating their advantages and disadvantages for salinity mapping. The accompanying CD-ROM provides colour images that enhance the material discussed in the text. The mixture of fundamental concepts, latest technological reviews, and practical application examples makes this an ideal resource for environmental assessment and decision making.Note de contenu : Preface
PART I Soil Salinity and Remote Sensing: The Object and the Tool
Chapter 1 Soil Salinity and Salinization Hazard
J. Alfred Zinck and Graciela Metternicht
Chapter 2 Spectral Behavior of Salt Types
Graciela Metternicht and J. Alfred Zinck
Chapter 3 Review of Remote Sensing-Based Methods to Assess Soil Salinity
Eyal Ben-Dor, Graciela Metternicht, Naftaly Goldshleger, Eshel Mor, Vladmir Mirlas, and Uri Basson
PART II Trends in Mapping Soil Salinity and Monitoring Salinization with Remote and Proximal Sensing
Chapter 4 Mapping Areas Susceptible to Soil Salinity in the Irrigation Region
of Southern New South Wales, Australia.
David Eraser
Chapter 5 Generation of Farm-Level Information on Salt-Affected Soils Using IKONOS-II Multispectral Data
Ravi Shankar Dwivedi, Ramana Venkata Kothapalli, and Amarendra Narayana Singh
Chapter 6 The Suitability of Airborne Hyperspectral Imagery for Mapping Surface Indicators of Salinity in Dryland Farming Areas
Anna Dutkiewicz, Megan Lewis, and Bertram Ostendorf
Chapter 7 Applications of Hyperspectral Imagery to Soil Salinity Mapping
Thomas Schmid, Magaly Koch, and Jose Gumuzzio
Chapter 8 Characterization of Salt-Crust Build-Up and Soil Salinization in the United Arab Emirates by Means of Field and Remote Sensing Techniques
Fares M. Howari and Philip C. Goodell
Chapter 9 Assessment of Salt-Affected Soils Using Multisensor Radar Data: A Case Study from Northeastern Patagonia (Argentina)..
Hector F. del Valle, Paula D. Blanco, Walter Sione, Cesar M. Rostagno, and Nestor O. Elissalde
Chapter 10 Application of Landsat and ERS Imagery to the Study of Saline
Wetlands in Semiarid Agricultural Areas of Northeast Spain
Carmen Castaneda and Juan Herrero
Chapter 11 Mapping Soil Salinity Using Ground-Based Electromagnetic Induction Technique
Florence Cassel S., Dave Goorahoo, David Zoldoske, and Diganta Adhikari
Chapter 12 Combined Active and Passive Remote Sensing Methods for Assessing Soil Salinity: A Case Study from Jezre'el Valley, Northern Israel.
Eyal Ben-Dor, Naftaly Goldshleger, Eshel Mor, Vladmir Mirlas, and Uri Basson
PART III Diversity of Approaches to Modeling Soil Salinity and Salinization
Chapter 13 Mapping Salinity Hazard: An Integrated Application of Remote Sensing and Modeling-Based Techniques
Dhruba Pikha Shrestha and Abbas Farshad
Chapter 14 Stochastic Approaches for Space-Time Modeling and Interpolation
of Soil Salinity
Ahmed Douaik, Marc Van Meirvenne, and Tibor Toth
Chapter 15 Mapping Soil Salinity from Sample Data and Remote Sensing in the Former Lake Texcoco, Central Mexico
Norma Ferndndez Buces, Christina Siebe, Jose Luis Palacio Prieto, and Richard Webster
Chapter 16 Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data
Jamshid Farifteh
Chapter 17 Data Mining for Soil Salinity Modeling. Peter Eklund and Stephen D. Kirkby
ConclusionsNuméro de notice : 15505 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=40710 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15505-01 35.44 Livre Centre de documentation Télédétection Disponible Assessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
[article]
Titre : Assessing geometric reliability of corrected images from very high resolution satellites Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur Année de publication : 2008 Article en page(s) : pp 1551 - 1560 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fiabilité des données
[Termes IGN] image à résolution métrique
[Termes IGN] image à résolution submétrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] qualité géométrique (image)
[Termes IGN] valeur aberranteRésumé : (Auteur) Since the launch of Ikonos by Space Imaging, LLC on 24 September 1999, the very high resolution (VHR) satellite imagery has been applied to diverse fields. Every application needs a certain geometric accuracy in the corrected image; therefore, the planimetric accuracy control of VHR satellite imagery proves to be fundamental. As a rule of thumb, the Root Mean Square error (RMS) computed at independent check points (ICPs) is the global measure most widely used for accuracy assessment in VHR imagery. This paper presents an assessment, focused on two QuickBird and Ikonos panchromatic single images, of the number of ICPs required to obtain an estimation of one-dimensional accuracy (RMS1d) with a certain confidence level or reliability. Thus, two theoretical approaches have been tested to estimate reliability depending on the number of ICPs, and they have been experimentally validated using the Monte Carlo simulation method. The residual’s samples were generated for both satellite images in the best possible operational conditions: (a) using optimal sensor models, (b) with high accuracy ground points measured by Differential Global Positioning System, (c) with an adequate number of well distributed ground control points (GCPs), and (d) using GCPs and ICPs well-defined on the raw images, i.e., with a reasonably low pointing error. Under these conditions, the two theoretical models tested provided a good fit (r2 >97 percent) for the simulated data offered by Monte Carlo when outliers were withdrawn. There were no notable differences between the results obtained from the Ikonos and QuickBird scenes. Copyright ASPRS Numéro de notice : A2008-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1551 En ligne : https://doi.org/10.14358/PERS.74.12.1551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29547
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1551 - 1560[article]Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model / H. Su in Marine geodesy, vol 31 n° 4 (December 2008)
[article]
Titre : Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model Type de document : Article/Communication Auteurs : H. Su, Auteur ; H. Liu, Auteur ; W.D. Heymann, Auteur Année de publication : 2008 Article en page(s) : pp 281 - 298 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] données bathymétriques
[Termes IGN] étalonnage de modèle
[Termes IGN] fond marin
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] modèle d'inversion
[Termes IGN] modèle non linéaire
[Termes IGN] optimisation (mathématiques)Résumé : (Auteur) Most previous studies utilized a log-linear regression model to invert multi-spectral images into bathymetric data. Based on the Levenberg-Marquardt optimization algorithm, we developed an automated method for calibrating the parameters for a non-linear inversion model. Our method has been successfully applied to an IKONOS multispectral image. We compared depth data derived from our model to those estimated using a conventional log-linear inversion model. Bathymetric data derived from the non-linear inversion model are slightly more accurate and stable, particularly for deeper benthic habitats, than those derived from a conventional log-linear model although their overall performances are very similar. Copyright Taylor & Francis Numéro de notice : A2008-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490410802466652 En ligne : https://doi.org/10.1080/01490410802466652 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29584
in Marine geodesy > vol 31 n° 4 (December 2008) . - pp 281 - 298[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-08041 RAB Revue Centre de documentation En réserve L003 Disponible Classification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkDMC geometry analysis and virtual image characterisation / R. Alamus in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)PermalinkExtraction of land cover themes from aerial ortho-images in mountainous areas using external information / Arnaud Le Bris in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)PermalinkICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas / Sophie Lacherade in Meteorology and Atmospheric Physics, vol 102 n° 3-4 (December 2008)PermalinkA knowledge-based approach to urban feature classification using aerial imagery with Lidar data / M. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkStriping noise detection and correction of remote sensing images / F. Tsai in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)PermalinkTraffic extraction and characterisation from optical remote sensing data / Stefan Hinz in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)PermalinkVerification of topographic road centerline data using ALOS/PRISM images: implementation / H. Fujimura in Bulletin of the Geographical survey institute, vol 56 (December 2008)PermalinkFuzzy inference guided cellular automata urban-growth modelling using multi-temporal satellite images / S. Al-Kheder in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)PermalinkUsing texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses / F. Aguera in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)Permalink