Remote sensing of vegetation. Hyperspect
โ Huete, Alfredo; Lyon, John G.; Thenkabail, Prasad Srinivasa
๐ Library
๐
2018
๐ CRC Press
๐ English
โฆ LIBER โฆ
๐
Spectral-Spatial Classification of Hyperspectral Remote Sensing Images
โ Scribed by Jon Atli Benediktsson; Pedram Ghamisi
- Publisher
- Artech House
- Year
- 2015
- Tongue
- English
- Leaves
- 277
- Edition
- 1
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.
โฆ Subjects
Remote sensing.
๐ SIMILAR VOLUMES
Hyperspectral Imaging Remote Sensing: Ph
โ Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley
๐ Library
๐
2016
๐ Cambridge University Press
๐ English
A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and p
Hyperspectral Remote Sensing
โ Marcus Borengasser, William S. Hungate, Russell Watkins
๐ Library
๐
2004
๐ CRC Press
๐ English
Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detec
Hyperspectral Remote Sensing
โ Michael Eismann
๐ Library
๐
2012
๐ SPIE
๐ English
Hyperspectral remote sensing of vegetati
โ edited by Prasad S. Thenkabail, John G. Lyon, Alfredo Huete.
๐ Library
๐
2012.
๐ CRC Press
๐ English
Pt. 1. Introduction and overview --<br/> pt. 2. Hyperspectral sensor systems --<br/> pt. 3. Data mining, algorithms, indices --<br/> pt. 4. Leaf and plant biophysical and biochemical properties --<br/> pt. 5. Vegetation biophysical properties --<br/> pt. 6. Vegetation processes and function (ET
Advanced Image Processing Techniques for
โ Professor Dr. Pramod K. Varshney, Dr. Manoj K. Arora (auth.)
๐ Library
๐
2004
๐ Springer-Verlag Berlin Heidelberg
๐ English
<p>Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming