Spectral-spatial classififcation of hyperspectral remote sensing images / Jón Atli Benediktsson, Pedram Ghamisi.

Format:

Book

Author/Creator:

Jón Atli Benediktsson, author.

Ghamisi, Pedram, author.

Series:

Artech House remote sensing library.

Artech House Remote Sensing Library

Language:

English

Subjects (All):

Remote sensing.

Multispectral imaging.

Image processing--Digital techniques.

Image processing.

Physical Description:

1 online resource (277 pages) : illustrations.

Distribution:

[Piscataqay, New Jersey] : IEEE Xplore, [2015]

Place of Publication:

Boston : Artech House, 2015.

Summary:

This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years.nn This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide. Publisher abstract.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-60807-813-2