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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 Airborne and terrestrial laser scanning / M. George Vosselman (2010)
Titre : Airborne and terrestrial laser scanning Type de document : Guide/Manuel Auteurs : M. George Vosselman, Éditeur scientifique ; Hans-Gerd Maas, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2010 Importance : 318 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-1-904445-87-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection du bâti
[Termes IGN] données laser
[Termes IGN] extraction de la végétation
[Termes IGN] modèle numérique de terrain
[Termes IGN] patrimoine culturel
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreIndex. décimale : 33.80 Lasergrammétrie Résumé : (Editeur) Written by a team of international experts, this book provides a comprehensive overview of the major applications of airborne and terrestrial laser scanning. It focuses on principles and methods and presents an integrated treatment of airborne and terrestrial laser scanning technology. After consideration of the technology and processing methods, the book turns to applications, such as engineering, forestry, cultural heritage, extraction of 3D building models, and mobile mapping. This book brings together the various facets of the subject in a coherent text that will be relevant for advanced students, academics and practitioners. Note de contenu : Chapitre 1 - Laser Scanning Technology
Chapitre 2 - Visualisation and Structuring of Point Clouds
Chapitre 3 - Registration and Calibration
Chapitre 4 - Extraction of Digital Terrain Models
Chapitre 5 - Building Extraction
Chapitre 6 - Forestry Applications
Chapitre 7 - Engineering Applications
Chapitre 8 - Cultural Heritage Applications
Chapitre 9 - Mobile MappingNuméro de notice : 20373 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=41782 Réservation
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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)PermalinkTopographic 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