5 papers · 1 filter
A Weak-Signal-Aware Framework for Subsurface Defect Detection: Mechanisms for Enhancing Low-SCR Hyperbolic Signatures
Wenbo Zhang, Zekun Long, Zican Liu +2
Subsurface defect detection via Ground Penetrating Radar is challenged by "weak signals" faint diffraction hyperbolas with low signal-to-clutter ratios, high wavefield similarity,…
WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion
Zekun Long, Ali Zia, Guanyiman Fu +2
Weak spectral responses in hyperspectral images are often obscured by dominant endmembers and sensor noise, resulting in inaccurate abundance estimation. This paper introduces WS-N…
HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion
Judy X Yang, Jing Wang, Zhuanfeng +3
The integration of hyperspectral imaging (HSI) and Light Detection and Ranging (LiDAR) data provides complementary spectral and spatial information for remote sensing applications.…
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks
Judy X Yang, Jing Wang, Chen Hong Sui +2
The integration of hyperspectral imaging (HSI) and LiDAR data within new linear feature spaces offers a promising solution to the challenges posed by the high-dimensionality and re…
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning
Judy X Yang, Jing Wang, Zekun Long +2
Classifying hyperspectral images (HSIs) is a complex task in remote sensing due to the high-dimensional nature and volume of data involved. To address these challenges, we propose…