Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification
In hyperspectral image (HSI) classification, the performance of supervised learning tends to be affected by priori knowledge, i.e., quantity and quality of samples. However, it is inevitable to limit the performance of supervised classification due to the presence of noisy labels in the training sam...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9091876/ |