Investigating three-dimensional convolutional and recurrent neural networks for crop classification using time-series optical images
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Publisher
CMV Verlag
Link
http://jgst.issge.ir/article-1-1021-en.pdf
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1. National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey
2. Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data
3. Airborne multi-spectral monitoring of agricultural crop status: effect of time of year, crop type and crop condition parameter
4. A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations
5. Histogram-based spatio-temporal feature classification of vegetation indices time-series for crop mapping
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1. Generating Virtual Training Labels for Crop Classification from Fused Sentinel-1 and Sentinel-2 Time Series;PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science;2023-09-26
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