Remote Sensing, Second Edition: Models and Methods for Image Processing (Hardcover)

~ (Author) "Compared to 1972, when the first Landsat system was launched, remote-sensing systems now exhibit an extraordinary diversity..." (more)
Key Phrases: total image variance, normalization stretch, weighted spectral distribution, Scale-Space Transforms, Geological Survey, Shortwave Infrared Region (more...)

Editorial Reviews

Product Description

This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms.
Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery.
The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.

From the Back Cover

Remote sensing, the use of electromagnetic sensors to monitor the earth's surface and atmosphere, is an innovative field of science that has a variety of applications, from the production of topographic of geologic maps, to the detection of developing hurricanes or floods.

Following the standard set by the previous volume, the Second Edition of REMOTE SENSING: Models and Methods for Image Processing has been completely updated with recent results and data about this developing technology. In particular, this Second Edition discusses a framework for designing and evaluating image processing technology, which is the backbone of remote sensing.

The material is suited for graduate level engineering, physical and natural science courses, or for practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figures were produced specifically for this book and numerous tables provide a rich bibliography of the research literature.

Product Details

• Hardcover: 522 pages
• Publisher: Academic Press; 2 edition (June 30, 1997)
• Language: English
• ISBN-10: 0126289816
• ISBN-13: 978-0126289817
• Product Dimensions: 9.4 x 6.3 x 1.3 inches
• Shipping Weight: 2.4 pounds
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #1,688,793 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

4.0 out of 5 stars An essential reference for all spatial data scientists, May 19, 2004

By	D. E. Prentiss (Santa Barbara, CA) - See all my reviews (REAL NAME)

This book (known simply as "The Schowengerdt Text" in our lab) is one of the most necessary books for anyone interested in advanced remote sensing or photogrammetric analysis. Though peppered with equations, the majority of the text is written clearly. What this tome has that others severly skimp on, is the abundance of diagrams and actual image/data examples from selected sensors. The advanced chapters covering spatial transforms, spectral transforms, and sensor models were particularly good. This was a 5-star book when released, but today it grades out at a solid "4." Saying that, a new edition with updated sensors (and summaries of the caveats/benefits/uses of each) and more color plates would be greatly welcome. If your going to nit-pick about anything with this book, the index could have been a little more comprehensive.

2 of 3 people found the following review helpful:

5.0 out of 5 stars Excellent Resource, January 24, 2003

By	Gerald Galgana "kaspalog" (Bloomington, IN United States) - See all my reviews

Probably one of the best books on image processing i have seen. I recommend this to all undergraduate and graduate students taking up Remote Sensing and Image Processing. Very comprehensive!