Remote Sensing Digital Image Analysis: An Introduction

✍ Scribed by John A. Richards (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2013
• Tongue: English
• Leaves: 502
• Edition: 5
• Category: Library

✦ Synopsis

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data.
The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.

Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.

✦ Table of Contents

Front Matter....Pages i-xix
Sources and Characteristics of Remote Sensing Image Data....Pages 1-26
Correcting and Registering Images....Pages 27-77
Interpreting Images....Pages 79-97
Radiometric Enhancement of Images....Pages 99-125
Geometric Processing and Enhancement: Image Domain Techniques....Pages 127-159
Spectral Domain Image Transforms....Pages 161-201
Spatial Domain Image Transforms....Pages 203-246
Supervised Classification Techniques....Pages 247-318
Clustering and Unsupervised Classification....Pages 319-341
Feature Reduction....Pages 343-380
Image Classification in Practice....Pages 381-435
Multisource Image Analysis....Pages 437-464
Back Matter....Pages 465-494

✦ Subjects

Signal, Image and Speech Processing; Geotechnical Engineering & Applied Earth Sciences; Remote Sensing/Photogrammetry; Image Processing and Computer Vision; Ecotoxicology