An Improved Spatiotemporal Fusion Framework for Land-Cover Temporal Harmonization of High-Resolution Remote Sensing Images
High-resolution remote sensing images, with fine spatial detail but limited coverage and infrequent revisits, often exhibit temporal discrepancies that hinder large-scale Earth observations. While spatiotemporal fusion (STF) methods offer a solution, they often lead to reduced spatial resolution and...
Saved in:
| Main Authors: | Kangning Li, Zilin Xie, Xiaojun Qiao, Jinzhong Yang, Jinbao Jiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10966196/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network
by: Qiuhui Wang, et al.
Published: (2025-01-01) -
DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion
by: Yan Zhang, et al.
Published: (2024-01-01) -
Diverse spatiotemporal high harmonic generation
by: Xiaofei Li, et al.
Published: (2025-01-01) -
Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images
by: Qiyuan Zhang, et al.
Published: (2025-06-01) -
Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images
by: Zilong Lian, et al.
Published: (2025-02-01)