Incorporating Diversity into Self-Learning for Synergetic Classification of Hyperspectral and Panchromatic Images

Incorporating Diversity into Self-Learning for Synergetic Classification of Hyperspectral and Panchromatic Images

Derived from semi-supervised learning and active learning approaches, self-learning (SL) was recently developed for the synergetic classification of hyperspectral (HS) and panchromatic (PAN) images. Combining the image segmentation and active learning techniques, SL aims at selecting and labeling th...

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Bibliographic Details
Main Authors: Xiaochen Lu, Junping Zhang, Tong Li, Ye Zhang
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Remote Sensing
Subjects:
hyperspectral
self-learning
semi-supervised
active learning
synergetic classification
Online Access:http://www.mdpi.com/2072-4292/8/10/804

Internet

http://www.mdpi.com/2072-4292/8/10/804

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