A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping
Hyperspectral imaging technology has been used for geological analysis for many years wherein mineral mapping is the dominant application for hyperspectral images (HSIs).
Lianru Gao +12 more
core +1 more source
Remote sensing image data especially hyperspectral imagery (HSI) data have been widely applied in various research fields. However, HSI often suffers from significant noise contamination, such as stripe noise and Gaussian noise.
Fan Shen +3 more
doaj +1 more source
Advances in Hyperspectral Imaging for Nondestructive Food Quality and Safety Detection. [PDF]
Xing F, Chen M.
europepmc +1 more source
HS-RankFormer for efficient and robust RGB-to-Hyperspectral image reconstruction across domains. [PDF]
Vamsi B +5 more
europepmc +1 more source
Hyperspectral Image Denoising via Quasi-Recursive Spectral Attention and Cross-Layer Feature Fusion. [PDF]
Xiao Y, Zhou H, Li W, Yang L, Wang K.
europepmc +1 more source
Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]
Zhang K, Jiang X, Cai Z.
europepmc +1 more source
Kolmogorov-Arnold Networks for Sensor Data Processing: A Comprehensive Survey of Architectures, Applications, and Open Challenges. [PDF]
Martínez-Heredia AM, Ortiz A.
europepmc +1 more source
Curvelet Decomposition-Based Tri-Branch Coupling Network for Hyperspectral Unsound Maize Seeds Identification. [PDF]
Zhao K, Lu L, Lv P, Ge H.
europepmc +1 more source
Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications. [PDF]
Tran MH, Ma L, Yuan M, Fei B.
europepmc +1 more source
Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising
Hyperspectral image (HSI) denoising is an essential procedure for HSI applications. Unfortunately, the existing Transformer-based methods mainly focus on non-local modeling, neglecting the importance of locality in image denoising.
Li, Kun, Chengjie, Liang, Hao, Tian, Xin
core

