S<sup>2</sup>PNet: An Interactive Learning Framework for Addressing Spatial–Spectral Heterogeneity in H<sup>2</sup> Imagery Classification
Hyperspectral imagery with high spatial resolution (H<sup>2</sup>) imagery can synchronously obtain the spectral and spatial features of objects, thus providing richer information. However, the exacerbated spatial–spectral heterogeneity poses new challenges for classification....
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10684570/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|