Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data - Info and Reading Options

The Open Library:

The main objective of this book is to apprise the reader of the use of a number of tools and techniques for a variety of image processing tasks, namely Independent Component Analysis (ICA), Mutual Information (MI), Markov Random Field (MRF) Models and Support Vector Machines (SVM). Typical applications considered are feature extraction, image classification, image fusion and change detection. The book also treats a number of experimental examples based on a variety of remote sensors. The utility of the book will be highly appreciated by academicians and R & D professionals, who are involved in current research in the area of hyperspectral imaging, as well as by professional remote-sensing data users such as geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

Search for “Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data” in Libraries Near You:

Read or borrow “Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data” at a library near you.