Computational Intelligence for Remote Sensing

Description

This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.



No Posting Of Mirror

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Computational Intelligence for Remote Sensing" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2018
2. [share_ebook] Remote Sensing of Impervious Surfaces (Taylor & Francis Series in Remote Sensing Applications)
3. Remote Sensing of Impervious Surfaces (Taylor & Francis Series in Remote Sensing Applications)
4. Remote Sensing of Impervious Surfaces (Taylor & Francis Series in Remote Sensing Applications)
5. Physical Principles of Remote Sensing (Topics in Remote Sensing)
6. Computational Economics: A Perspective from Computational Intelligence (Computational Intelligence and Its Applications Series)
7. [share_ebook] Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches (IEEE Press Series on Computational Intelligence)
8. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches (IEEE Press Series on Computational Intelligence)
9. Modern Computational Intelligence Methods for the Interpretation of Medical Images (Studies in Computational Intelligence)
10. Foundations of Computational Intelligence: Volume 6: Data Mining (Studies in Computational Intelligence)
11. Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence): Gregory Levitin
12. Foundations of Computational Intelligence Volume 2: Approximate Reasoning (Studies in Computational Intelligence)
13. Laser Remote Sensing
14. Laser Remote Sensing
15. Remote Sensing of Snow and Ice
16. Uncertainty in Remote Sensing and GIS