Early-Season Crop Classification Utilizing Time Series Based Deep Learning with Multi-Sensor Remote Sensing Data
Author:
Affiliation:
1. A.U.G. Signals Ltd.,Toronto,ON,Canada,M5H 4E8
2. Agriculture and Agri-Food Canada,Ottawa,ON,Canada,K1A 0C6
Funder
Canadian Space Agency
Agriculture and Agri-Food Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642827.pdf?arnumber=10642827
Reference6 articles.
1. Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2
2. Early-Season Crop Classification with Radarsat-2 Polarimetric Synthetic Aperture Radar Imagery
3. Early-Season Crop Identification in the Shiyang River Basin Using a Deep Learning Algorithm and Time-Series Sentinel-2 Data
4. Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention
5. Pre- and within-season crop type classification trained with archival land cover information
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