ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 4; p. 879
• Main Authors: He, Yongjun, Wang, Jinfei, Liao, Chunhua, Shan, Bo, Zhou, Xin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2022
• Subjects: Annotations; Benchmarks; Classification; Confidence; Consistency; consistency regularization; Datasets; Deep learning; hybrid perturbation; Image annotation; Image processing; Image segmentation; Labeling; Labels; Land cover; Methods; Perturbation; Regularization; Remote sensing; remote sensing semantic segmentation; Satellites; Semantic segmentation; Semantics; Semi-supervised learning; Training; transfer learning

Inspired by the tremendous success of deep learning (DL) and the increased availability of remote sensing data, DL-based image semantic segmentation has attracted growing interest in the remote sensing community. The ideal scenario of DL application requires a vast number of annotation data with the...