An Automatic Decision-Level Fusion Rice Mapping Method of Optical and SAR Images Based on Cloud Coverage
Timely and accurate mapping of paddy rice cultivation is crucial for estimating rice production and optimizing land utilization. Optical images are essential data source for paddy rice mapping, but it is susceptible to cloud contamination. Existing methods struggle to effectively utilize clear-sky p...
Saved in:
Main Authors: | Xueqin Jiang, Song Gao, Huaqiang Du, Shenghui Fang, Yan Gong, Ning Han, Yirong Wang |
---|---|
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/10836781/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Temporal backscatter characterisation of ratoon rice crops based on Sentinel-1 intensity data
by: Vidya Nahdhiyatul Fikriyah, et al.
Published: (2025-12-01) -
Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR
by: Yifan Wu, et al.
Published: (2025-01-01) -
Intelligent Target Detection in Synthetic Aperture Radar Images Based on Multi-Level Fusion
by: Qiaoyu Liu, et al.
Published: (2025-01-01) -
SAR-PATT: A Physical Adversarial Attack for SAR Image Automatic Target Recognition
by: Binyan Luo, et al.
Published: (2024-12-01) -
Building Extraction From High-Resolution Multispectral and SAR Images Using a Boundary-Link Multimodal Fusion Network
by: Zhe Zhao, et al.
Published: (2025-01-01)