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A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture

3 October 2022

Papers citing "A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture"

27 / 27 papers shown

Title
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 101 39 0 02 Apr 2022
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series Vivien Sainte Fare Garnot Loic Landrieu N. Chehata 78 97 0 14 Dec 2021
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation Joachim Nyborg Charlotte Pelletier Sébastien Lefèvre Ira Assent OOD AI4TS 73 42 0 04 Nov 2021
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series Félix Quinton Loic Landrieu 46 12 0 15 Oct 2021
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery Mauro Martini Vittorio Mazzia Aleem Khaliq Marcello Chiaberge 127 40 0 01 Apr 2021
A Deep Learning Approach to Mapping Irrigation: IrrMapper-U-Net T. Colligan David Ketchum D. Brinkerhoff M. Maneta 12 9 0 04 Mar 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 145 134 0 17 Feb 2021
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations Aleksandra Wolanin Gustau Camps-Valls L. Gómez-Chova Gonzalo Mateo-García C. Tol Yongguang Zhang L. Guanter 65 148 0 07 Dec 2020
Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning S. Khaki Hieu H. Pham Lizhi Wang 44 124 0 05 Dec 2020
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 99 30 0 04 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 723 41,796 0 22 Oct 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 139 408 0 12 Jun 2020
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN) Vittorio Mazzia Aleem Khaliq Marcello Chiaberge 61 104 0 27 Apr 2020
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention Vivien Sainte Fare Garnot Loic Landrieu S. Giordano N. Chehata 91 155 0 18 Nov 2019
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network F. Waldner F. Diakogiannis 110 207 0 26 Oct 2019
Self-attention for raw optical Satellite Time Series Classification M. Rußwurm Marco Körner AI4TS 77 267 0 23 Oct 2019
BreizhCrops: A Time Series Dataset for Crop Type Mapping M. Rußwurm Charlotte Pelletier Maximilian Zollner Sébastien Lefèvre Marco Korner AI4TS 106 76 0 28 May 2019
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn R. Interdonato Dino Ienco R. Gaetano K. Ose AI4TS 55 142 0 20 Sep 2018
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders M. Rußwurm Marco Körner 119 278 0 06 Feb 2018
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 234 8,515 0 17 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 903 133,201 0 12 Jun 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 381 10,217 0 16 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,725 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 527 43,394 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.8K 100,713 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 468 43,961 0 01 May 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 494 7,675 0 03 Jul 2012