Classification Methods for Remotely Sensed Data

Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pulls together information from a range of sources and sets it in the context of the basic principles. There is an emphasis on new methods, including neural networks (especially artificial neural networks), fuzzy theory, texture and quantization, and the use of Markov random fields. Students in GIS and remote sensing should find this an essential read when learning about and dealing with new developments in the field. It is concise and accessible and the authors conclude with coverage of the state-of-the-art topics of multisource data analysis, evidential reasoning and genetic algorithms. Including a full color section and basic remote sensing theory, this book will prove invaluable for advanced undergraduate students and graduates/researchers in the field. There is very little published in this field yet, and there is distinct need for such an analysis of this fast-growing area.

Science & Math

Mather, Paul

Tso, Brandt

Earth Sciences

CRC-Press

The merging of voice and data on a single network opens powerful new possibilities in communications. Only a fundamental understanding of both technologies will ensure you are equipped to maximise their full potential. 
Convergence Technologies for 3G Networks describes the evolution from cellular to a converged network that integrates traditional telecommunications and the technology of the Internet. In particular, the authors address the application of both IP and ATM technologies to a cellular environment, including IP telephony protocols, the use of ATM/AAL2 and the new AAL2 signalling protocol for voice/multimedia and data transport as well as the future of the UMTS network in UMTS Release 5/6 All-IP architecture. Convergence Technologies for 3G Networks: <ul>
<li>Explains the operation and integration of GSM, GPRS, EDGE, UMTS, CDMA2000, IP, and ATM.</li> <li>Provides practical examples of 3G connection scenarios.</li> <li>Describes signalling flows and protocol stacks.</li> <li>Covers IP and ATM as used in a 3G context.</li> <li>Addresses issues of QoS and real-time application support.</li> <li>Includes IP/SS7 internetworking and IP softswitching.</li> <li>Outlines the architecture of the IP Multimedia Subsystem (IMS) for UMTS.</li> </ul>
Convergence Technologies for 3G Networks is suited for professionals from the telecommunications, data communications and computer networking industries..

Convergence Technologies for 3G Networks: IP, UMTS, EGPRS and ATM

Computers & Technology

Bannister, Jeffrey

Coope, Sebastian

Certification

wiley

From the Back Cover Subatomic Humor is the funniest humor column you've probably never heard of, and 100 Years of Subatomic Humor brings together a hundred of its funniest-ever articles. One the economy: "The economy is bad these days. Indeed, for many, especially those in their twenties, 'security' has come to mean nothing more than the people who come to arrest you at the mall." On film: "There are two kinds of movie. There's the kind where an elite team of commandos tries to take over something, and there's the kind I don't want to see." On fun and games: "Most people think it's all fun and games until somebody loses an eye. Well, that's just not true. Look at pirates. Most of them have poked-out eyes, and they still have lots of fun and games." On the fall of the Roman Empire: "Yes, Nero fiddled while Rome burned. But what a lot of people don't realize is that it was the emergency broadcast fiddle." On the great outdoors: "When camping with David Copperfield make sure he doesn't bring all his big magic trick equipment. Simple card tricks are more appropriate for a wilderness setting." On sex: "I wonder if a lot of people who like S&M also like M&Ms." About the Author Paul Mather got his first professional comedy gig when he was 15. Since then, he's managed to co-found two near-famous comedy troupes (Atomic Improv and Three Dead Trolls in a Baggie), pen four or five plays, write comedy for the Edmonton Journal and CBC Radio, and produce over 160 Subatomic Humor articles. Excerpt. © Reprinted by permission. All rights reserved. My girlfriend and I are going to paint our living room. So we went down to the store and picked up a bunch of those little paint sample cards. You know, the little cards that let you test one colour against another, and against the rug, and the couch, and the picture, and -- apparently -- every other object in the house and, in fact, the neighborhood. There are a million different colours of paint out there, but what's really impressive is that each different colour has its own unique name. Listen to these names: shire fields, lido bay, windstream, candlebark, city loft, lombardy mist. Pretty great names, eh? But what's amazing is this: those are all just shades of white! When you start getting into actual colours the names start to get even better: walnut wash, sienna sand, autumn wheat, water hawthorn.... mmmmm! They sound so good it makes me want to eat the little cards. Never mind that the names don't actually make any sense. (I mean, candlebark -- what exactly is that? I guess it's the opposite of treewax.) The point is, I really like those names. In fact, I think I'd like to become a professional paint namer. Being a paint namer wouldn't always be easy. I mean, some days you'd be sitting there surrounded by all these slightly different shades of blue, trying to figure out which should be called temptress and which should be called ocean depths. I imagine, eventually, you might freak out, grab your supervisor by the collar, shove a sample card down his throat and scream: "It's blue! Okay? It's just blue! It's just blue!" Behavior like that could get you black deco-balled from the industry. Still, if you can hack it, a successful paint namer makes all his friends chaparral pea with envy. Initially, my girlfriend and I were going to paint our living room herbivore. (Take a moment and try to guess what colour that is. Answer: kind of olive-tan. I guess they figured olive-tan was about the colour of the inside of a wapiti's stomach.) Eventually, though, we decided to paint our living room warm shadows, with dark quest trim. My girlfriend probably picked these colours because she liked the way they looked, but I picked them because I thought their names sounded like TV shows. "A rogue vampire threatens to expose Xarxon and topple the alliance! Can Montague and Kathy put aside their differences long enough to stop him? Join the excitement at eight on Dark Quest! "Then at nine:

100 Years of Subatomic Humor

Humor & Entertainment

Humor

Short Attention Span Publishing

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones. Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource: <ul>
<li>Presents a number of approaches to solving the problem of allocation of data to one of several classes</li> <li>Covers potential approaches to the use of decision trees </li> <li>Describes developments such as boosting and random forest generation</li> <li>Reviews lopping branches that do not contribute to the effectiveness of the decision trees</li> </ul> Complete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods.

Computer Science

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