Semi-Supervised Semantic Segmentation-Based Remote Sensing Identification Method for Winter Wheat Planting Area Extraction

Semi-Supervised Semantic Segmentation-Based Remote Sensing Identification Method for Winter Wheat Planting Area Extraction

To address the cost issue associated with pixel-level image annotation in fully supervised semantic segmentation, a method based on semi-supervised semantic segmentation is proposed for extracting winter wheat planting areas. This approach utilizes self-training with pseudo-labels to learn from a sm...

Full description

Bibliographic Details
Main Authors: Mingmei Zhang, Yongan Xue, Yuanyuan Zhan, Jinling Zhao
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Agronomy
Subjects:
semi-supervised classification
sematic segmentation
winter wheat
self-training
data augmentation
Online Access:https://www.mdpi.com/2073-4395/13/12/2868

Internet

https://www.mdpi.com/2073-4395/13/12/2868

Similar Items