28 citations · 37 across the 10 of their papers we have counts for
10 papers
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…
Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
Jingzhou Chen, Dexin Chen, Fengchao Xiong +2
Fine-grained remote sensing datasets often use hierarchical label structures to differentiate objects in a coarse-to-fine manner, with each object annotated across multiple levels.…
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…
Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising
Jin Ye, Jingran Wang, Fengchao Xiong +2
Hyperspectral images (HSIs) play a crucial role in remote sensing but are often degraded by complex noise patterns. Ensuring the physical property of the denoised HSIs is vital for…
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…
Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms
Fengchao Xiong, Jun Zhou, Yuntao Qian
Traditional color images only depict color intensities in red, green and blue channels, often making object trackers fail in challenging scenarios, e.g., background clutter and rap…
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter
Kun Qian, Jun Zhou, Fengchao Xiong +2
Target tracking in hyperspectral videos is a new research topic. In this paper, a novel method based on convolutional network and Kernelized Correlation Filter (KCF) framework is p…