Self-attention for raw optical Satellite Time Series Classification

23 October 2019

Papers citing "Self-attention for raw optical Satellite Time Series Classification"

21 / 21 papers shown

Title
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series Iris Dumeur Silvia Valero Jordi Inglada 40 3 0 11 Jul 2024
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM AI4TS CML 29 3 0 24 May 2024
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration Haoxiao Wang Bo Peng Jianhua Zhang Xu Cheng AI4TS 39 1 0 28 Apr 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation Guillaume Astruc Nicolas Gonthier Clement Mallet Loic Landrieu 38 25 0 12 Apr 2024
DiffusionSat: A Generative Foundation Model for Satellite Imagery Samar Khanna Patrick Liu Linqi Zhou Chenlin Meng Robin Rombach Marshall Burke David B. Lobell Stefano Ermon 26 58 0 06 Dec 2023
XAI for Early Crop Classification Ayshah Chan M. Schneider Marco Körner AI4TS 31 2 0 10 Oct 2023
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
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series Corinne Stucker Vivien Sainte Fare Garnot Konrad Schindler AI4TS 24 13 0 22 May 2023
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 23 32 0 11 Apr 2023
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach Elliot Vincent Jean Ponce Mathieu Aubry AI4TS 13 5 0 22 Mar 2023
ViTs for SITS: Vision Transformers for Satellite Image Time Series Michail Tarasiou Erik Chavez S. Zafeiriou ViT 19 49 0 12 Jan 2023
Exploring Self-Attention for Crop-type Classification Explainability Ivica Obadic R. Roscher Dario Augusto Borges Oliveira Xiao Xiang Zhu 30 7 0 24 Oct 2022
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
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution Valentin Barrière M. Claverie 21 4 0 23 Aug 2022
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 25 36 0 02 Apr 2022
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification Yijiang Chen Xiangdong Zhou Zhen Xing Zhidan Liu Minyang Xu AI4TS SSL 24 5 0 08 Mar 2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability R. Qin Tao Liu 24 61 0 07 Feb 2022
AiTLAS: Artificial Intelligence Toolbox for Earth Observation I. Dimitrovski Ivan Kitanovski P. Panov Nikola Simidjievski D. Kocev 32 10 0 21 Jan 2022
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series Vivien Sainte Fare Garnot Loic Landrieu N. Chehata 15 91 0 14 Dec 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
Gated Transformer Networks for Multivariate Time Series Classification Minghao Liu Shengqi Ren Siyuan Ma Jiahui Jiao Yizhou Chen Zhiguang Wang Wei Song AI4TS 41 130 0 26 Mar 2021