Signal Processing for Remote Sensing

Signal Processing for Remote Sensing

4.11 - 1251 ratings - Source

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 Long discusses the application of the transform to remote sensing problems. It also contains a chapter by Dr. Enders A. Robinson, who has made major contributions to seismic signal processing for over half a century, on the basic problem of constructing seismic images by ray tracing. With rapid technological advances in both sensor and processing technologies, a book can only capture the current process and result. However, the numerous mathematical techniques provided in this book have lasting value, giving it a useful role for many years to come. While the majority of remote sensing titles cover only image processing, this book focuses on the data acquisitions segment of remote sensing. Its uniquely specific and practical approach allows you to directly apply the knowledge in this book to your field of remote sensing applications.The subsurface volume is represented by a 3D grid (x, y, z) of depth points D. To minimize the amount of ray tracing, we first compute a traveltime table for each ... We put these one-way traveltimes into a 3D table that is labeled by the surface locationP. ... Let the subsurface grid for depth points D be given by (z, x), where depth is given by z 1a„4 1, 2, ..., 10 and horizontal distance is given by x 1a„4 1, 2, ..., 15.

Title:Signal Processing for Remote Sensing
Author:C.H. Chen
Publisher:CRC Press - 2007-10-17


You Must CONTINUE and create a free account to access unlimited downloads & streaming