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SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated ..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Sani, Depanshu
;
Mahato, Sandeep
;
Saini, Sourabh
... - p. 5983-5992 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00589
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484135&Exemplar=1&LAN=DE A1 Sani, Depanshu A1 Mahato, Sandeep A1 Saini, Sourabh A1 Agarwal, Harsh Kumar A1 Chandra Devshali, Charu A1 Anand, Saket A1 Arora, Gaurav A1 Jayaraman, Thiagarajan YR 2024 SN 2642-9381 K1 Satellites K1 Image resolution K1 Pipelines K1 Phenology K1 Crops K1 Machine learning K1 Agriculture K1 Applications K1 Algorithms K1 Image recognition and understanding K1 Remote Sensing SP 5983 OP 5992 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00589 DO https://doi.org/10.1109/WACV57701.2024.00589 SF ELIB - SuUB Bremen
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