3 citations · 6 across the 7 of their papers we have counts for
6 papers · 1 filter
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.…
Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images
Ali Zia, Jun Zhou, Muyiwa Olayemi
Sugarcane mosaic disease poses a serious threat to the Australian sugarcane industry, leading to yield losses of up to 30% in susceptible varieties. Existing manual inspection meth…
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…
Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder
Judy X Yang, Jun Zhou, Jing Wang +2
Band selection in hyperspectral imaging (HSI) is critical for optimising data processing and enhancing analytical accuracy. Traditional approaches have predominantly concentrated o…
HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification
Judy X Yang, Jun Zhou, Jing Wang +2
Classifying hyperspectral images is a difficult task in remote sensing, due to their complex high-dimensional data. To address this challenge, we propose HSIMamba, a novel framewor…