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2204.00951
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A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
2 April 2022
Dimitrios Sykas
Maria Sdraka
Dimitrios Zografakis
Ioannis Papoutsis
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Papers citing
"A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning"
7 / 7 papers shown
Title
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Pratinav Seth
Michelle Lin
Brefo Dwamena Yaw
Jade Boutot
Mary Kang
David Rolnick
33
0
0
11 Oct 2024
CaBuAr: California Burned Areas dataset for delineation
Daniele Rege Cambrin
Luca Colomba
Paolo Garza
24
7
0
21 Jan 2024
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Brandon Victor
Zhen He
Aiden Nibali
30
9
0
03 Oct 2022
Towards Space-to-Ground Data Availability for Agriculture Monitoring
George Choumos
Alkiviadis Koukos
Vasileios Sitokonstantinou
C. Kontoes
43
5
0
16 May 2022
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot
Loic Landrieu
AI4TS
71
150
0
16 Jul 2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu
Stefano Dáronco
Gregor Perich
F. Liebisch
Constantin Streit
Konrad Schindler
Jan Dirk Wegner
87
129
0
17 Feb 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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