Classification Methods for Remotely Sensed Data
Seiten
2001
Taylor & Francis Ltd (Verlag)
978-0-415-25908-8 (ISBN)
Taylor & Francis Ltd (Verlag)
978-0-415-25908-8 (ISBN)
- Titel erscheint in neuer Auflage
- Artikel merken
Zu diesem Artikel existiert eine Nachauflage
Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. 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.
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.
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.
Remote Sensing in the Optical and Microwave Regions. Pattern Recognition Principles. Pattern Recognition Using Artificial Neural Networks. Methods Based on Fuzzy Set Theory. Texture Quantization. Modeling Context Using Markov Random Fields. Multi-source Classification.
| Erscheint lt. Verlag | 6.12.2001 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 703 g |
| Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie |
| ISBN-10 | 0-415-25908-8 / 0415259088 |
| ISBN-13 | 978-0-415-25908-8 / 9780415259088 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
über eine faszinierende Welt zwischen Wasser und Land und warum sie …
Buch | Hardcover (2023)
dtv (Verlag)
CHF 33,55
Buch | Hardcover (2024)
Schweizerbart'sche, E. (Verlag)
CHF 33,55
Eine Einführung in die spezielle Mineralogie, Petrologie und …
Buch | Hardcover (2022)
Springer Spektrum (Verlag)
CHF 83,95
