Multi-year crop type mapping using pre-trained deep long-short term memory and Sentinel 2 image time series-Reference-Cited by-同舟云学术

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Multi-year crop type mapping using pre-trained deep long-short term memory and Sentinel 2 image time series

Published:2021-09-12 Issue: Volume: Page:
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Container-title:Image and Signal Processing for Remote Sensing XXVII
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Author:

Weikmann Giulio,Paris Claudia,Bruzzone Lorenzo

Publisher

SPIE

Cited by 5 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. European AI and EO convergence via a novel community-driven framework for data-intensive innovation;Future Generation Computer Systems;2024-11

2. Multi-Year Time Series Transfer Learning: Application of Early Crop Classification;Remote Sensing;2024-01-10

3. Deep Learning for Satellite Image Time-Series Analysis: A review;IEEE Geoscience and Remote Sensing Magazine;2024

4. A deep learning framework for crop mapping with reconstructed Sentinel-2 time series images;Computers and Electronics in Agriculture;2023-10

5. Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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