Neural Networks in Atmospheric Remote Sensing

This book PDF is perfect for those who love Computers genre, written by William J. Blackwell and published by Artech House which was released on 19 April 2024 with total hardcover pages 232. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Neural Networks in Atmospheric Remote Sensing books below.

Neural Networks in Atmospheric Remote Sensing
Neural Networks in Atmospheric Remote Sensing
Author : William J. Blackwell
File Size : 54,7 Mb
Publisher : Artech House
Language : English
Release Date : 19 April 2024
ISBN : 9781596933736
Pages : 232 pages
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Neural Networks in Atmospheric Remote Sensing by William J. Blackwell Book PDF Summary

This authoritative reference offers you a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. You find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. The book provides clear explanations of the mathematical and physical foundations of remote sensing systems, including radiative transfer and propagation theory, sensor technologies, and inversion and estimation approaches. You discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.

Neural Networks in Atmospheric Remote Sensing

Neural Networks in Atmospheric Remote Sensing by William J. Blackwell,Frederick W. Chen

This authoritative reference offers you a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. You find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors.

Get Book
The Application of Neural Networks in the Earth System Sciences

The Application of Neural Networks in the Earth System Sciences by Vladimir M. Krasnopolsky

This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems

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Deep Learning for the Earth Sciences

Deep Learning for the Earth Sciences by Gustau Camps-Valls,Devis Tuia,Xiao Xiang Zhu,Markus Reichstein

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the

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Neurocomputation in Remote Sensing Data Analysis

Neurocomputation in Remote Sensing Data Analysis by Ioannis Kanellopoulos,Graeme G. Wilkinson,Fabio Roli,James Austin

A state-of-the-art view of recent developments in the use of artificial neural networks for analysing remotely sensed satellite data. Neural networks, as a new form of computational paradigm, appear well suited to many of the tasks involved in this image analysis. This book demonstrates a wide range of uses of

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Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Artificial Neural Networks and Evolutionary Computation in Remote Sensing by Taskin Kavzoglu

Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images. ANNs are effective in finding underlying relationships and structures within multidimensional datasets. Thanks to new sensors, we have images with more spectral bands

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Frontiers of Remote Sensing Information Processing

Frontiers of Remote Sensing Information Processing by C H Chen

Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined.

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Foundations of Atmospheric Remote Sensing

Foundations of Atmospheric Remote Sensing by Dmitry Efremenko,Alexander Kokhanovsky

Theoretical foundations of atmospheric remote sensing are electromagnetic theory, radiative transfer and inversion theory. This book provides an overview of these topics in a common context, compile the results of recent research, as well as fill the gaps, where needed. The following aspects are covered: principles of remote sensing, the

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Special issue Neural networks in remote sensing

Special issue Neural networks in remote sensing by Peter M. Atkinson

Download or read online Special issue Neural networks in remote sensing written by Peter M. Atkinson, published by Unknown which was released on 1997. Get Special issue Neural networks in remote sensing Books now! Available in PDF, ePub and Kindle.

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