Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels

Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels

Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of remote sensing. However, due to the time-consuming and labor-intensive data collection, there are few labeled datasets available. Furthermore, most available state-of...

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Bibliographic Details
Main Authors: Yangyang Li, Ruoting Xing, Licheng Jiao, Yanqiao Chen, Yingte Chai, Naresh Marturi, Ronghua Shang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
semi-supervised classification
polarimetric synthetic aperture radar (PolSAR)
image classification
self-training
superpixels
Online Access:https://www.mdpi.com/2072-4292/11/16/1933

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https://www.mdpi.com/2072-4292/11/16/1933

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