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Crop mapping from image time series: deep learning with multi-scale
  label hierarchies

Crop mapping from image time series: deep learning with multi-scale label hierarchies

17 February 2021
Mehmet Özgür Türkoglu
Stefano Dáronco
Gregor Perich
F. Liebisch
Constantin Streit
Konrad Schindler
Jan Dirk Wegner
ArXivPDFHTML

Papers citing "Crop mapping from image time series: deep learning with multi-scale label hierarchies"

10 / 10 papers shown
Title
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Chenghao Xiao
Hou Pong Chan
Hao Zhang
Mahani Aljunied
Lidong Bing
Noura Al Moubayed
Yu Rong
58
0
0
18 Apr 2025
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
Joana Reuss
Jan Macdonald
Simon Becker
Lorenz Richter
Marco Körner
57
1
0
24 Jul 2024
Harnessing Administrative Data Inventories to Create a Reliable
  Transnational Reference Database for Crop Type Monitoring
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring
M. Schneider
Marco Körner
21
1
0
10 Oct 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical
  Satellite Time Series
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
18
31
0
11 Apr 2023
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Brandon Victor
Zhen He
Aiden Nibali
22
9
0
03 Oct 2022
Towards Space-to-Ground Data Availability for Agriculture Monitoring
Towards Space-to-Ground Data Availability for Agriculture Monitoring
George Choumos
Alkiviadis Koukos
Vasileios Sitokonstantinou
C. Kontoes
32
5
0
16 May 2022
A Sentinel-2 multi-year, multi-country benchmark dataset for crop
  classification and segmentation with deep learning
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
Dimitrios Sykas
Maria Sdraka
Dimitrios Zografakis
Ioannis Papoutsis
12
36
0
02 Apr 2022
TIML: Task-Informed Meta-Learning for Agriculture
TIML: Task-Informed Meta-Learning for Agriculture
Gabriel Tseng
Hannah Kerner
David Rolnick
11
7
0
04 Feb 2022
Panoptic Segmentation of Satellite Image Time Series with Convolutional
  Temporal Attention Networks
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
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
227
7,903
0
13 Jun 2015
1