Signal Processing For Geologists Geophysicists
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Signal Processing for Geologists & Geophysicists
Author: Jean-Luc Mari
language: en
Publisher: Institut Francais Du Petrole P
Release Date: 1999
Increasingly sophisticated techniques are available for obtaining seismic sections that give an accurate description of subsurface heterogeneities. These techniques continue to benefit from the progress made in research by signal processing specialists. The aim of this book is to familiarize geologists and geophysicists with the basic concepts of signal processing used in seismic surveys. It shows the value of using a combination of tools to solve a given problem. Many of the examples in this book come from the latest research. Its goal is to improve understanding of the most common signal processing algorithms and to suggest a methodology for testing them. Sometimes, modeling with simple, well-known functions is a very useful way to understand the behavior of a transformation. In this way, we seek to provide the specialist with a critical approach for handling these algorithms. This book will encourage the exchange of information among geologists, geophysicists and signal processing researchers, and will provide them with invaluable technical know-how.
Signal Processing for Remote Sensing
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 who, along with and Dr. Steven Lo
Signal and Image Processing for Remote Sensing
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 for Remote Sensing provides a balance between the role of signal processing and image processing in remote sensing. Featuring contributions from worldwide experts, this book emphasizes mathematical approaches. Divided into two parts, Part I examines signal processing for remote sensing and Part II explores image processing. Not limited to the problems with data from satellite sensors, the book considers other sensors which acquire data remotely, including signals and images from infrasound, seismic, microwave, and satellite sensors. It covers a broader scope of issues in remote sensing information processing than other books in this area. With rapid technological advances, the mathematical techniques provided will far outlast the sensor, software and hardware technologies. Focusing on methodologies of signal processing and image processing in remote sensing, this book discusses unique techniques for dealing with remote sensing problems.