Fully Polarimetric Synthetic Aperture Radar (SAR) Processing for Crop Type Identification
Author:
Publisher
American Society for Photogrammetry and Remote Sensing
Subject
Computers in Earth Sciences
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multimodal self-supervised learning for semantic analysis of PolSAR imagery;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
2. A Novel Classification Method for PolSAR Image Combining the Deep Learning Model and Adaptive Boosting of Shallow Classifiers;Canadian Journal of Remote Sensing;2023-07-12
3. Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images;IEEE Transactions on Geoscience and Remote Sensing;2022
4. Exploring Vision Transformers for Polarimetric SAR Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2021
5. Integration of optical and SAR remote sensing images for crop-type mapping based on a novel object-oriented feature selection method;International Journal of Agricultural and Biological Engineering;2020
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