Deep Learning for Satellite Image Time Series Analysis: A Review

5 April 2024

Papers citing "Deep Learning for Satellite Image Time Series Analysis: A Review"

24 / 24 papers shown

Title
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data Valentin Barrière M. Claverie M. Schneider G. Lemoine R. d’Andrimont 31 16 0 19 May 2023
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolution Julien Cornebise Ivan Orsolic F. Kalaitzis 56 55 0 13 Jul 2022
Satellite Image Time Series Analysis for Big Earth Observation Data R. Simões G. Câmara G. R. Queiroz F. Souza Pedro Ribeiro de Andrade Neto L. Santos Alexandre Carvalho K. Ferreira 41 69 0 24 Apr 2022
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series Vivien Sainte Fare Garnot Loic Landrieu N. Chehata 43 94 0 14 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation Bowen Cheng Ishan Misra Alex Schwing Alexander Kirillov Rohit Girdhar ISeg 178 2,315 0 02 Dec 2021
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation Joachim Nyborg Charlotte Pelletier Sébastien Lefèvre Ira Assent OOD AI4TS 30 42 0 04 Nov 2021
RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning G. Marchisio P. Helber B. Bischke T. Davis Çaglar Senaras D. Zanaga R. Van De Kerchove A. Wania 71 5 0 05 Oct 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 99 130 0 17 Feb 2021
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery Michel Deudon Alfredo Kalaitzis Israel Goytom Md Rifat Arefin Zhichao Lin Kris Sankaran Vincent Michalski Samira Ebrahimi Kahou Julien Cornebise Yoshua Bengio SupR 42 107 0 15 Feb 2020
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained Mehmet Özgür Türkoglu Stefano Dáronco Jan Dirk Wegner Konrad Schindler 26 47 0 25 Nov 2019
Self-attention for raw optical Satellite Time Series Classification M. Rußwurm Marco Körner AI4TS 36 261 0 23 Oct 2019
An Attentive Survey of Attention Models S. Chaudhari Varun Mithal Gungor Polatkan R. Ramanath 114 649 0 05 Apr 2019
Deep Neural Network Ensembles for Time Series Classification Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS UQCV 46 70 0 15 Mar 2019
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series Vivien Sainte Fare Garnot Loic Landrieu S. Giordano N. Chehata 32 52 0 29 Jan 2019
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction L. Nguyen Jiajie Zhen Zhe Lin Hanxiang Du Zhou Yang Wenxuan Guo Fang Jin 23 30 0 16 Nov 2018
Group Normalization Yuxin Wu Kaiming He 141 3,626 0 22 Mar 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 324 26,241 0 05 Sep 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 343 11,941 0 04 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 447 7,952 0 13 Jun 2015
Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang Tim Oates AI4TS 91 672 0 01 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 297 43,511 0 17 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 381 27,205 0 01 Sep 2014