Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification

Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification

Hyperspectral image classification (HSIC) methods usually require more training samples for better classification performance. However, a large number of labeled samples are difficult to obtain because it is cost- and time-consuming to label an HSI in a pixel-wise way. Therefore, how to overcome the...

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Bibliographic Details
Main Authors: Chunhui Zhao, Boao Qin, Shou Feng, Wenxiang Zhu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
superpixel segmentation
graph learning
sparse representation
multiscale fusion
Online Access:https://www.mdpi.com/2072-4292/14/3/681

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