Hardcover: 560 pages
Publisher: Academic Press; 3 edition (September 11, 2006)
Product Dimensions: 1.2 x 7.5 x 9.2 inches
Shipping Weight: 3.1 pounds (View shipping rates and policies)
Average Customer Review: 4.7 out of 5 stars See all reviews (3 customer reviews)
Best Sellers Rank: #322,679 in Books (See Top 100 in Books) #24 in Books > Computers & Technology > Programming > Graphics & Multimedia > GIS #25 in Books > Computers & Technology > Graphics & Design > Computer Modelling > Imaging Systems #44 in Books > Engineering & Transportation > Engineering > Telecommunications & Sensors > Signal Processing
Almost as good as Gonzaez and Woods on explaining digital image processing, this book has the added advantage of showing the relationship between that field and remote sensing. In other words, it shows you how to use the transforms to accomplish goals in the field of remote sensing. Also, it has some really good exercises at the end of each chapter so you can really prove to yourself that you understand what is going on.I give this book four stars instead of five because there is no real advantage to buying this new book over the previous second edition, although that book is about ten years old. This edition does discuss the more modern sensors, but the calculations and models have not changed. There is no real additional content. In fact this edition and the previous one are almost identical in length. My advice is save yourself some money and get the second edition for less. If you are using it as a professional reference it should serve you well.
I regularly teach university courses on remote sensing and supervise students who use remote sensing as a basis for their papers and theses. I find this text an excellent, clear and rich resource. This is a book for people who not only want to learn and understand what remote sensing is, but to actually do serious studies with this type of data. In contrast with other more widely known textbooks such as Lillesand and Kiefer, Schowengerdt goes deep into important technical issues, without excessive verbose. A good investment for the serious student and professional.
This book explains thoroughly a lot of the concepts (physics, technical, statistics...) that are included. It also gives some simplified examples of algorithms to explain concepts better.
Remote Sensing, Third Edition: Models and Methods for Image Processing Remote Sensing and Image Interpretation, 7th Edition Remote Sensing and Image Interpretation Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications (Lecture Notes in Geoinformation and Cartography) Remote Sensing Digital Image Analysis: An Introduction Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation [With CDROM] (Artech House Remote Sensing Library) Spotlight Synthetic Aperture Radar: Signal Processing Algorithms (Artech House Remote Sensing Library) Imagery and Disease: Image-Ca, Image-Sp, Image-Db : A Diagnostic Tool for Behavioral Medicine Field Methods in Remote Sensing Introduction to Remote Sensing, Third Edition Datums and Map Projections: For Remote Sensing, GIS and Surveying, Second Edition Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Second Edition (Artech House Remote Sensing Library) Remote Sensing of the Environment: An Earth Resource Perspective (2nd Edition) Introduction to Remote Sensing, Fourth Edition Radiative Transfer in Scattering and Absorbing Atmospheres: Standard Computational Procedures (Studies in geophysical optics and remote sensing) Remote Sensing and Smart City (Wit Transactions on Information and Communication Technologies) Remote Sensing of the Environment An Earth Resource Perspective Introduction to Microwave Remote Sensing Global Environment Remote Sensing (Wave Summit Course) An Introduction to Contemporary Remote Sensing