SEL-Net: A Self-Supervised Learning-Based Network for PolSAR Image Runway Region Detection

This paper proposes an information enhancement network based on self-supervised learning (SEL-Net) for runway area detection. During the self-supervised learning phase, the distinctive attributes of PolSAR multi-channel data are fully harnessed to enhance the generated pretrained model’s focus on ai...

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Bibliographic Details
Main Authors: Ping Han, Yanwen Peng, Zheng Cheng, Dayu Liao, Binbin Han
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/19/4708