Frontiers of Remote Sensing Information Processing

This book PDF is perfect for those who love Technology & Engineering genre, written by C. H. Chen and published by World Scientific which was released on 03 May 2024 with total hardcover pages 629. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Frontiers of Remote Sensing Information Processing books below.

Frontiers of Remote Sensing Information Processing
Frontiers of Remote Sensing Information Processing
Author : C. H. Chen
File Size : 45,5 Mb
Publisher : World Scientific
Language : English
Release Date : 03 May 2024
ISBN : 9789812796752
Pages : 629 pages
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Frontiers of Remote Sensing Information Processing by C. H. Chen Book PDF Summary

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. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination. In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas. Contents: Data Mining; SAR Image Processing; Wavelet Analysis and Applications; Military Applications of Remote Sensing; Microwave Remote Sensing; Statistical Pattern Recognition; Automatic Target Segmentation; Neural Networks; Change Detection; Seismic Signal Processing; Time Series Prediction; Image Compression; Emerging Topics. Readership: Engineers and scientists dealing with remote sensing data in particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis.

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.

Get Book
Information Processing For Remote Sensing

Information Processing For Remote Sensing by Chi Hau Chen

This book provides the most comprehensive study of information processing techniques and issues in remote sensing. Topics covered include image and signal processing, pattern recognition and feature extraction for remote sensing, neural networks and wavelet transforms in remote sensing, remote sensing of ocean and coastal environment, SAR image filtering and

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Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing by C.H. Chen

Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing

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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Hyung-Sup Jung,Saro Lee

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM)

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Signal Processing for Remote Sensing

Signal Processing for Remote Sensing by C.H. Chen

Written by leaders in the field, Signal Processing for Remote Sensing explores the data acquisitions segment of remote sensing. Each chapter presents a major research result or the most up to date development of a topic. The book includes a chapter by Dr. Norden Huang, inventor of the Huang-Hilbert transform

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Signal and Image Processing for Remote Sensing Second Edition

Signal and Image Processing for Remote Sensing Second Edition by C.H. Chen

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information

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Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

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Optical Remote Sensing of Ocean Hydrodynamics by Victor Raizer

Optical Remote Sensing is one of the main technologies used in sea surface monitoring. Optical Remote Sensing of Ocean Hydrodynamics investigates and demonstrates capabilities of optical remote sensing technology for enhanced observations and detection of ocean environments. It provides extensive knowledge of physical principles and capabilities of optical observations of

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