HyperVision-HSI: a classification-guided spectral-spatial decoupling framework for adaptive multi-category fruit SSC detection. [PDF]
Dong T +6 more
europepmc +1 more source
Overcoming difficulties in segmentation of hyperspectral plant images with small projection areas using machine learning. [PDF]
Neuwirthová E +9 more
europepmc +1 more source
MDF2Former: Multi-Scale Dual-Domain Feature Fusion Transformer for Hyperspectral Image Classification of Bacteria in Murine Wounds. [PDF]
Wu D +8 more
europepmc +1 more source
HCNet: Multi-Exposure High-Dynamic-Range Reconstruction Network for Coded Aperture Snapshot Spectral Imaging. [PDF]
Shi H, Chen J, Li Y, Zhang P, Tian J.
europepmc +1 more source
Advanced Spectroscopic, Imaging, and Nanotechnology Tools for Diagnosing Fungal Diseases in Fruits. [PDF]
Adiani V, Mishra A.
europepmc +1 more source
Hyperspectral Inversion of Soil Organic Carbon in Daylily Cultivation Areas of Yunzhou District. [PDF]
Yao Z, Ran X, Yang C, Li P, Bi R.
europepmc +1 more source
Related searches:
Compressive Hyperspectral Imaging
Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023Conventional hyperspectral cameras encounter a trade-off between spatial and spectral samplings while capturing an input scene. To address this problem, we propose two imaging systems: Hyperspectral Light Field Tomography (Hyper-LIFT) and Tunable Image Projection Spectrometry (TIPS).
Qi Cui, Liang Gao
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Snapshot hyperspectral imaging
Integrated Computational Imaging Systems, 2001Hyperspectral imaging associates a densely sampled spectral signature with each pixel in an imager’s field of view. The collected image data are in the form of a three-dimensional data set, i.e., an image cube. The image cube is also referred to as a hypercube or an object cube.
M.R. Descour +5 more
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