Customer Reviews

Remote Sensing Digital Image Analysis: An Introduction

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The book by John Richards and Xiuping Jia is one of the best introductory books in the field of remote sensing. This work may be used as a textbook in a one semester course. This book is well organized, technically correct, with a reasonable level of mathematics for those new in the field.

This book does not introduce you to image analysis and image processing itself. For that topic, in depth see Digital Image Processing (3rd Edition) for a general text on the subject that is very accessible.

This book looks at problems specific to remotely sensed images and their understanding and shows concrete techniques for solving the problems. It's not just a recipe book as there is a good bit of explanation shown too, but it is not a mathematician's book either. It is a practitioner's book. For example, it deals with statistical methods to deal with striping - the problem that sensors used to collect image data do not have the same response. That is not a topic you'd see in Gonzalez and Woods, but you might see the technique mentioned - histogram matching - and now at last you have a use for it.

The following is the table of contents since it is not listed in the product description:
1. Sources and characteristics of remote sensing image data.
2. Error Correction and Registration of image data.
3. The Interpretation of image data.
4. Radiometric enhancement techniques
5. Geometric enhancement using image domain techniques
6. Multispectral transformations of image data
7. Fourier transformation of image data
8. Supervised classification techniques
9. Clustering and unsupervised classification
10. Feature reduction
11. Image classification methodologies
12. Multisource and multisensor methods
13. Interpretation of hyperspectral image data
A. Missions and sensors
B. Altitudes and periods
C. Binary representation of decimal numbers
D. Essential results from vector and matrix algebra
E. Some fundamental material from probability and statistics
F. Penalty function derivative of the maximum likelihood rule

This is not a book on using the computer to solve complex problems, thus there is no programming involved. You need a well-rounded background in image processing, statistics, matrix algebra, and geometric transformations of images in order to get the most from this book. I highly recommend it.

This is a must read for anyone interested (and serious) in remote sensing and digital image analysis. This is not as an introductory book as it claims to be so be aware of that, and some chapters requires a good understanding of math (algebra). If you are advanced in RS then get this book as reference, you won't regret it.

I'm Forest Engennering and i work with Remote Sensing, so i would like to purchase a books of this.