README.md

Awesome Sea Ice Papers

Overview

This repository is a curated collection of academic papers focused on semi-supervised and supervised learning techniques for sea ice concentration and sea ice type classification. It emphasizes research on methodologies related to both concentration estimation and type classification, including approaches for patch-level image classification and pixel-level semantic segmentation, providing a comprehensive resource for researchers and practitioners in the field.

Table of Contents

• Introduction
• Research Areas
  • Sea Ice Concentration
    • Semi-Supervised Learning
    • Supervised Learning
  • Sea Ice Type Classification
    • Semi-Supervised Learning
    • Supervised Learning
• How to Contribute
• Awesome Resources
• License

Introduction

Sea ice classification is a crucial task for understanding and predicting Arctic and Antarctic ice conditions. This repository aggregates key papers that explore various machine learning techniques, including semi-supervised and supervised learning approaches, to classify sea ice type and concentration effectively. The focus is on methodologies that target both patch-level classification and pixel-level semantic segmentation.

Sea Ice Concentration

Semi-Supervised Learning (Sea Ice Concentration)

Paper Title	Year
Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset	2023

Supervised Learning (Sea Ice Concentration)

Paper Title	Year	Task Type
Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study	2016	Classification
ICE CONCENTRATION ESTIMATION IN THE GULF OF ST. LAWRENCE USING FULLY CONVOLUTIONAL NEURAL NETWORK	2017	Classification
Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network	2017	Classification
Sea Ice Sensing From GNSS-R Data Using Convolutional Neural Networks	2018	Classification
Baltic Sea Ice Concentration Estimation From C-Band Dual-Polarized SAR Imagery by Image Segmentation and Convolutional Neural Networks	2021	Classification
Impact of intermediate ice concentration training data on sea ice concentration estimates from a convolutional neural network	2018	Classification
Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data	2019	Classification
Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks	2020	Classification
Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts	2022	Classification
A Mid- and Long-Term Arctic Sea Ice Concentration Prediction Model Based on Deep Learning Technology	2022	Classification
Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay	2023	Classification
Prediction of Categorized Sea Ice Concentration From Sentinel-1 SAR Images Based on a Fully Convolutional Network	2021	Segmentation
Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning	2021	Segmentation
Seasonal Arctic sea ice forecasting with probabilistic deep learning	2021	Segmentation
AI4SeaIce: Toward Solving Ambiguous SAR Textures in Convolutional Neural Networks for Automatic Sea Ice Concentration Charting	2022	Segmentation
Super-Resolution-Aided Sea Ice Concentration Estimation From AMSR2 Images by Encoder–Decoder Networks With Atrous Convolution	2022	Segmentation

Sea Ice Type Classification

Semi-Supervised Learning (Sea Ice Type Classification)

Paper Title	Year
A semi-supervised approach for ice-water classification using dual-polarization SAR satellite imagery	2015
A cooperative framework based on active and semi-supervised learning for sea ice classification using EO-1 Hyperion data	2019
Deep learning for sea-ice classification on synthetic aperture radar (SAR) images in Earth observation	2019
Deep semisupervised teacher–student model based on label propagation for sea ice classification	2021
Fine-Scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs	2021
EMI-SUPERVISED SEA ICE CLASSIFICATION OF SAR IMAGERY BASED ON GRAPH CONVOLUTIONAL NETWORK	2022
REGION-LEVEL LABELS IN ICE CHARTS CAN PRO-DUCE PIXEL-LEVEL SEGMENTATION FOR SEA ICE TYPES	2024

Supervised Learning (Sea Ice Type Classification)

Paper Title	Year	Task Type
SAR Sea-Ice Image Analysis Based on Iterative Region Growing Using Semantics	2007	Classification
Gaofen-3 sea ice detection based on deep learning	2017	Classification
Sea ice and open water classification of SAR imagery using CNN-based transfer learning	2017	Classification
A residual convolution neural network for sea ice classification with Sentinel-1 SAR imagery	2018	Classification
Convolutional Neural Networks-Based Sea Ice Detection From TDS-1 Data	2018	Classification
Hyperspectral sea ice image classification based on the spectral-spatial-joint feature with deep learning	2019	Classification
Classification of sea ice types in Sentinel-1 SAR data using convolutional neural networks	2020	Classification
Combining 3D-CNN and squeeze-and-excitation networks for remote sensing sea ice image classification	2020	Classification
Proof of concept for sea ice stage of development classification using deep learning	2020	Classification
Sea ice classification of SAR imagery based on convolution neural networks	2021	Classification
Deep learning based sea ice classification with Gaofen-3 fully polarimetric SAR data	2021	Classification
Remote sensing sea ice classification based on DenseNet and heterogeneous data fusion	2022	Classification
Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data	2022	Classification
Sea ice–water classification of RADARSAT-2 imagery based on residual neural networks (ResNet) with regional pooling	2022	Classification
AM-ResNet: An Attention-Based Multi-Label Classification Network	2022	Classification
Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features	2022	Classification
Sea ice and water classification on dual-polarized Sentinel-1 imagery during melting season	2021	Classification
Classification of sea ice types in Sentinel-1 synthetic aperture radar images	2020	Classification
Sea ice and open water classification of SAR images using a deep learning model	2020	Classification
A Convolutional Neural Network Architecture for Sentinel-1 and AMSR2 Data Fusion	2020	Classification
Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with the PCA Network	2021	Classification
Automatic sea-ice classification of sar images based on spatial and temporal features learning	2021	Classification
Robust Multiseasonal Ice Classification From High-Resolution X-Band SAR	2022	Classification
An Improved Sea Ice Classification Algorithm with Gaofen-3 Dual-Polarization SAR Data Based on Deep Convolutional Neural Networks	2022	Classification
Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline	2023	Classification
Sea Ice Detection from SAR Images Based on Deep Fully Convolutional Networks	2023	Classification
ICENET: A Semantic Segmentation Deep Network for River Ice by Fusing Positional and Channel-Wise Attentive Features	2020	Segmentation
Sea Ice Classification via Deep Neural Network Semantic Segmentation	2020	Segmentation
Classifying sea ice types from SAR images using a U-Net-based deep learning model	2021	Segmentation
Development of a dual-attention U-Net model for sea ice and open water classification on SAR images	2021	Segmentation
ARCTIC SEA ICE MAPPING USING SENTINEL-1 SAR SCENES WITH A CONVOLUTIONAL NEURAL NETWORK	2021	Segmentation
In-situ sea ice detection using DeepLabv3 semantic segmentation	2021	Segmentation
Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning	2021	Segmentation
Semantic image segmentation for sea ice parameters recognition using deep convolutional neural networks.	2022	Segmentation
Semantic Segmentation of Sea Ice Based on U-net Network Modification	2022	Segmentation
Improved Sea-Ice Identification Using Semantic Segmentation With Raindrop Removal	2022	Segmentation
Semantic segmentation of Arctic Sea ice in summer from remote sensing satellite images based on BAU-NET	2022	Segmentation
E-MPSPNet: Ice–Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision	2022	Segmentation
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions	2023	Segmentation
Sea-Ice Classification Using Conditional Generative Adversarial Networks	2023	Segmentation
Fine extraction of arctic sea ice based on CA-DeepLabV3+ model	2023	Segmentation
A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset	2023	Segmentation
Decoding the Partial Pretrained Networks for Sea-Ice Segmentation of 2021 Gaofen Challenge	2022	Segmentation
Combining the U-Net model and a Multi-textRG algorithm for fine SAR ice-water classification	2024	Segmentation

How to Contribute

We welcome contributions to this repository! Please see our Contribution Guide for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.