A Comparative Assessment of Multi-View Fusion Learning For Crop Classification
Author:
Affiliation:
1. University of Kaiserslautern-Landau (RPTU),Department of Computer Science Kaiserslautern,Germany
2. Smart Data and Knowledge Services Kaiserslautern,German Research Center for Artificial Intelligence (DFKI),Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282138.pdf?arnumber=10282138
Reference9 articles.
1. Gated multimodal networks
2. Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
3. Deep Fusion of Remote Sensing Data for Accurate Classification
4. CropHarvest: A global dataset for crop-type classification;tseng;Proceedings of NIPS Datasets and Benchmarks Track,2021
5. Crop Type Mapping from Optical and Radar Time Series Using Attention-Based Deep Learning
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