5 papers · 1 filter
High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification
Boxiang Yang, Ning Chen, Xia Yue +6
Recently, Hyperspectral Image (HSI) classification has attracted increasing attention in remote sensing. However, HSI data are inherently high-dimensional but low-rank, with discri…
Cross-view Domain Generalization via Geometric Consistency for LiDAR Semantic Segmentation
Jindong Zhao, Yuan Gao, Yang Xia +4
Domain-generalized LiDAR semantic segmentation (LSS) seeks to train models on source-domain point clouds that generalize reliably to multiple unseen target domains, which is essent…
Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
Liling Yang, Ning Chen, Jun Yue +5
Foundation models have transformed natural language processing and computer vision, and their impact is now reshaping remote sensing image analysis. With powerful generalization an…
UniVector: Unified Vector Extraction via Instance-Geometry Interaction
Yinglong Yan, Jun Yue, Shaobo Xia +7
Vector extraction retrieves structured vector geometry from raster images, offering high-fidelity representation and broad applicability. Existing methods, however, are usually tai…
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives
Yidan Liu, Jun Yue, Shaobo Xia +3
As a newly emerging advance in deep generative models, diffusion models have achieved state-of-the-art results in many fields, including computer vision, natural language processin…