28 citations · 37 across the 8 of their papers we have counts for
10 papers
HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
Li Pang, Xinqiao Wu, Jing Yao +5
Hyperspectral remote sensing provides dense spectral measurements that are indispensable for material-level Earth observation, yet the construction of a general-purpose hyperspectr…
End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking
Xu Han, Mohammad Aminul Islam, Lei Wang +5
Hyperspectral imagery encodes rich material properties that can improve tracking robustness under appearance ambiguity, illumination change, and background clutter. However, due to…
HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
Guanyiman Fu, Jingtao Li, Zihang Cheng +8
While hyperspectral imaging provides rich spatial-spectral information across hundreds of narrow wavelength bands for precise material identification, ground-based hyperspectral pr…
Iterative Low-rank Network for Hyperspectral Image Denoising
Jin Ye, Fengchao Xiong, Jun Zhou +1
Hyperspectral image (HSI) denoising is a crucial preprocessing step for subsequent tasks. The clean HSI usually reside in a low-dimensional subspace, which can be captured by low-r…
SUIT: Spatial-Spectral Union-Intersection Interaction Network for Hyperspectral Object Tracking
Fengchao Xiong, Zhenxing Wu, Sen Jia +1
Hyperspectral videos (HSVs), with their inherent spatial-spectral-temporal structure, offer distinct advantages in challenging tracking scenarios such as cluttered backgrounds and…
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
Li Pang, Jing Yao, Kaiyu Li +3
Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environ…
Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselines
Sai Yang, Bin Hu, Bojun Zhou +5
Power Line Autonomous Inspection (PLAI) plays a crucial role in the construction of smart grids due to its great advantages of low cost, high efficiency, and safe operation. PLAI i…
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu +1
Denoising is a crucial preprocessing step for hyperspectral images (HSIs) due to noise arising from intra-imaging mechanisms and environmental factors. Long-range spatial-spectral…
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu +3
Hyperspectral images (HSIs) often suffer from noise arising from both intra-imaging mechanisms and environmental factors. Leveraging domain knowledge specific to HSIs, such as glob…
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
Fengchao Xiong, Shuyin Tao, Jun Zhou +3
Deep learning (DL) based hyperspectral images (HSIs) denoising approaches directly learn the nonlinear mapping between observed noisy images and underlying clean images. They norma…