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Remote Sensing Handbook - Three Volume Set edited by Prasad Thenkabail, ch. 17. Optical remote sensing of tree and stand heights / Cédric Vega (2015 - 2018)
Titre de série : Remote Sensing Handbook - Three Volume Set edited by Prasad Thenkabail, ch. 17 Titre : Optical remote sensing of tree and stand heights Type de document : Chapitre/Contribution Auteurs : Cédric Vega , Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2015 - 2018 Importance : pp 1183 - 1220 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] hauteur des arbres
[Termes IGN] image aérienne
[Termes IGN] image spatialeRésumé : (auteur) Forests cover 30% of continental surfaces and play a key role in climate change regulation, in raw material and renewable energy supply, and in biodiversity conservation. Successfully maintaining all the functions of forest ecosystems through their sustainable management is thus crucial for the future of mankind. However, developing appropriate policies and management practices requires an in-depth knowledge on forest ecosystems. Numéro de notice : H2018-009 Affiliation des auteurs : LIF (2012-2019) Thématique : FORET/IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1201/b19355-81 Date de publication en ligne : 03/10/2018 En ligne : https://www.taylorfrancis.com/books/e/9780429188190/chapters/10.1201/b19355-81 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93461
Titre : Signal Processing : A Mathematical Approach Type de document : Monographie Auteurs : Charles L. Byrne, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2014 Importance : 397 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-0-429-15871-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] détection du signal
[Termes IGN] écho radar
[Termes IGN] filtre de Wiener
[Termes IGN] phase
[Termes IGN] probabilités
[Termes IGN] propagation du signal
[Termes IGN] reconstruction d'image
[Termes IGN] série de Fourier
[Termes IGN] signal acoustique
[Termes IGN] tomographie
[Termes IGN] transformation de Fourier
[Termes IGN] transformation en ondelettesRésumé : (éditeur) A practical guide to the mathematics behind signal processing, this book provides the essential mathematical background and tools necessary to understand and employ signal processing techniques. Topics addressed include: - Fourier series and transforms in one and several variables, - applications to acoustic and electromagnetic propagation models, - transmission and emission tomography and image reconstruction, - optimization techniques, - high-resolution methods, and more. The emphasis is on the general problem of extracting information from limited data obtained by some form of remote sensing: acoustic or radar processing, satellite imaging, or medical tomographic scanning. Note de contenu : 1- Introduction
2- Fourier Series and Fourier Transforms
3- Remote Sensing
4- Finite-Parameter Models
5- Transmission and Remote Sensing
6- The Fourier Transform and Convolution Filtering
7- Infinite Sequences and Discrete Filters
8- Convolution and the Vector DFT
9- Plane-Wave Propagation
10- The Phase Problem
11- Transmission Tomography
12- Random Sequences
13- Nonlinear Methods
14- Discrete Entropy Maximization
15- Analysis and Synthesis
16- Wavelets
17- The BLUE and the Kalman Filter
18- Signal Detection and Estimation
19- Inner Products
20- Wiener Filtering
21- Matrix Theory
22- Compressed Sensing
23- Probability
24- Using the Wave Equation
25- Reconstruction in Hilbert Space
26- Some Theory of Fourier Analysis
27- Reverberation and Echo CancellationNuméro de notice : 25846 Affiliation des auteurs : non IGN Thématique : IMAGERIE/MATHEMATIQUE Nature : Monographie En ligne : https://www.taylorfrancis.com/books/9780429158711 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95260
Titre : Spectral Feature Selection for Data Mining Type de document : Monographie Auteurs : Zheng Alan Zhao, Auteur ; Huan Liu, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2011 Importance : 224 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-429-10719-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse multivariée
[Termes IGN] analyse spectrale
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage semi-dirigé
[Termes IGN] corrélation à l'aide de traits caractéristiques
[Termes IGN] exploration de données
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] traitement de donnéesRésumé : (éditeur)Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection.
The book explores the latest research achievements, sheds light on new research directions, and stimulates readers to make the next creative breakthroughs. It presents the intrinsic ideas behind spectral feature selection, its theoretical foundations, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. The authors also cover feature selection and feature extraction, including basic concepts, popular existing algorithms, and applications.
A timely introduction to spectral feature selection, this book illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. Readers learn how to use spectral feature selection to solve challenging problems in real-life applications and discover how general feature selection and extraction are connected to spectral feature selection.Note de contenu : 1- Data of High Dimensionality and Challenges
2- Univariate Formulations for Spectral Feature Selection
3- Multivariate Formulations
4- Connections to Existing Algorithms
5- Large-Scale Spectral Feature Selection
6- Multi-Source Spectral Feature SelectionNuméro de notice : 25844 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Monographie En ligne : https://www.taylorfrancis.com/books/9780429107191 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95251
Titre : Location-Based Information Systems : Developing Real-Time Tracking Applications Type de document : Monographie Auteurs : Miguel A. Labrador, Auteur ; Alfredo J. Perez, Auteur ; Pedro Wightman, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2010 Importance : 287 p. ISBN/ISSN/EAN : 978-0-429-16567-2 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] aide à la localisation
[Termes IGN] environnement de développement
[Termes IGN] Google Earth
[Termes IGN] Google Maps
[Termes IGN] information géographique
[Termes IGN] interface de programmation
[Termes IGN] Java (langage de programmation)
[Termes IGN] KML
[Termes IGN] positionnement par GPS
[Termes IGN] service fondé sur la position
[Termes IGN] téléphone intelligent
[Termes IGN] téléphonie mobileRésumé : (auteur) Drawing on the authors’ more than six years of R&D in location-based information systems (LBIS) as well as their participation in defining the Java ME Location API 2.0, Location-Based Information Systems: Developing Real-Time Tracking Applications provides information and examples for creating real-time LBIS based on GPS-enabled cellular phones. Each chapter presents a general real-time tracking system example that can be easily adapted to target any application domain and that can incorporate other sensor data to make the system "participatory sensing" or "human-centric sensing." The book covers all of the components needed to develop an LBIS. It discusses cellular phone programming using the Java ME platform, positioning technologies, databases and spatial databases, communications, client- and server-side data processing, and real-time data visualization via Google Maps and Google Earth. Using freely available software, the authors include many code examples and detailed instructions for building your own system and setting up your entire development environment. Web Resource:
A companion website at www.csee.usf.edu/~labrador/LBIS provides additional information and supporting material. It contains all of the software packages and applications used in the text as well as PowerPoint slides and laboratory examples.Note de contenu : Introduction
- The Mobile Phone
- The Java Platform Micro Edition (Java ME)
- MIDlet Development
- Other Important Programming Aspects
- Obtaining the User’s Position
- Storing and Retrieving the Data: The Database
- Sending and Receiving Data: Communications
- Java ME Web Services
- System Administration
- Data Visualization
- Processing the DataNuméro de notice : 25745 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie En ligne : https://www.taylorfrancis.com/books/9780429165672 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95244 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 Topographic laser ranging and scanning, ch 14. Feature extraction from lidar data in urban areas / Frédéric Bretar (2009)PermalinkPermalinkQuality aspects in spatial data mining, ch. 5. A multicriteria fusion approach for geographical data matching / Ana-Maria Olteanu-Raimond (2008)PermalinkAn introduction to numerical weather prediction techniques / T.N. Krishnamurti (1996)PermalinkPractical handbook of spatial statistics / Sandra L. Arlinghaus (1995)PermalinkStandard mathematical tables and formulae / W.H. Beyer (1991)Permalink