Spectral-Spatial Classification of Hyperspectral Images Using Joint Bilateral Filter and Graph Cut Based Model

Spectral-Spatial Classification of Hyperspectral Images Using Joint Bilateral Filter and Graph Cut Based Model

Hyperspectral image classification can be achieved by modeling an energy minimization problem on a graph of image pixels. In this paper, an effective spectral-spatial classification method for hyperspectral images based on joint bilateral filtering (JBF) and graph cut segmentation is proposed. In th...

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Bibliographic Details
Main Authors: Yi Wang, Haiwei Song, Yan Zhang
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Remote Sensing
Subjects:
hyperspectral images
classification
spectral-spatial
graph cut
joint bilateral filter
Online Access:http://www.mdpi.com/2072-4292/8/9/748

Internet

http://www.mdpi.com/2072-4292/8/9/748

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