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Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications - A comprehensive review

COMPUTER SCIENCE REVIEW (2023)

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Multimodal Remote Sensing Image Segmentation With Intuition-Inspired Hypergraph Modeling

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Summary: This paper proposes an intuition-inspired hypergraph network (IH-H-2N) for multimodal remote sensing image segmentation. The network utilizes hypergraphs to model high-order relationships and imitates intuitive reasoning for semantic understanding of multimodal RS images.

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Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

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Scene Changes Understanding Framework Based on Graph Convolutional Networks and Swin Transformer Blocks for Monitoring LCLU Using High-Resolution Remote Sensing Images

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A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images

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