Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series

29 January 2019

Vivien Sainte Fare Garnot

Loic Landrieu

S. Giordano

N. Chehata

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Papers citing "Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series"

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Title
SITSMamba for Crop Classification based on Satellite Image Time Series Xiaolei Qin Xin Su Liangpei Zhang Mamba 22 1 0 15 Sep 2024
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping Hiba Najjar Francisco Mena Marlon Nuske A. Dengel 24 0 0 11 Jul 2024
Deep Learning for Satellite Image Time Series Analysis: A Review Lynn Miller Charlotte Pelletier Geoffrey I. Webb 35 17 0 05 Apr 2024
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data Francisco Mena Diego Arenas A. Dengel 48 2 0 25 Mar 2024
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data Valentin Barrière M. Claverie M. Schneider G. Lemoine R. d’Andrimont 16 13 0 19 May 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Navid Mohammadi Foumani Lynn Miller Chang Wei Tan G. I. Webb Germain Forestier Mahsa Salehi BDL AI4TS 33 93 0 06 Feb 2023
ViTs for SITS: Vision Transformers for Satellite Image Time Series Michail Tarasiou Erik Chavez S. Zafeiriou ViT 11 48 0 12 Jan 2023
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey James Brock Z. Abdallah 24 4 0 13 Apr 2022
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles Alexander Becker S. Russo Stefano Puliti Nico Lang Konrad Schindler Jan Dirk Wegner 33 40 0 25 Nov 2021
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series Félix Quinton Loic Landrieu 6 11 0 15 Oct 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot Loic Landrieu AI4TS 71 151 0 16 Jul 2021
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping Rahul Ghosh Praveen Ravirathinam X. Jia Chenxi Lin Zhenong Jin Vipin Kumar AI4TS 14 11 0 02 May 2021
Context-self contrastive pretraining for crop type semantic segmentation Michail Tarasiou R. Güler S. Zafeiriou SSL 18 17 0 09 Apr 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
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations Nando Metzger Mehmet Özgür Türkoglu Stefano Dáronco Jan Dirk Wegner Konrad Schindler BDL AI4TS 6 29 0 04 Dec 2020
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization Hannah Kerner R. Sahajpal S. Skakun I. Becker-Reshef B. Barker M. Hosseini E. Puricelli Patrick Gray 8 11 0 21 Sep 2020
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series Vivien Sainte Fare Garnot Loic Landrieu 11 77 0 01 Jul 2020
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention Vivien Sainte Fare Garnot Loic Landrieu S. Giordano N. Chehata 17 148 0 18 Nov 2019
Self-attention for raw optical Satellite Time Series Classification M. Rußwurm Marco Körner AI4TS 17 260 0 23 Oct 2019
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