Results 1 to 10 of about 6,715,396 (288)
Hyperspectral imaging (HSI) is an advanced sensing modality that simultaneously captures spatial and spectral information, enabling non-invasive, label-free analysis of material, chemical, and biological properties. This Primer presents a comprehensive overview of HSI, from the underlying physical principles and sensor architectures to key steps in ...
Princess Tiffany D. Mendoza +2 more
semanticscholar +6 more sources
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop morphological and physiological status and supporting practices in precision farming.
Bing Lu +4 more
doaj +2 more sources
A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging [PDF]
Hyperspectral imaging enables many versatile applications for its competence in capturing abundant spatial and spectral information, which is crucial for identifying substances.
Jingang Zhang +5 more
semanticscholar +1 more source
Hyperspectral imaging (HSI) technology is a combination of conventional imaging and spectroscopic techniques, which has a unique ability to simultaneously acquire both the spatial and spectral data of a specimen. The HSI is a novel optical tool in food processing that has a great potential for rapidly identifying bacteria (and possibly other ...
Lorenz, Sandra, Kirsch, Moritz
openaire +4 more sources
Unsupervised Domain Adaptation With Dense-Based Compaction for Hyperspectral Imagery
Enormously hard work of label obtaining leads to the lack of enough annotated samples in the hyperspectral imagery (HSI). The mentioned reality inferred the unsupervised classification performance barely satisfactorily.
Chunyan Yu +4 more
doaj +1 more source
A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and Multispectral Images Fusion
The fusion of a hyperspectral image (HSI) and multispectral image (MSI) can significantly improve the ability of ground target recognition and identification.
Yulei Wang +4 more
doaj +1 more source
Hyperspectral imaging is vital for material identification but traditional systems are bulky, hindering the development of compact systems. While previous metasurfaces address volume issues, the requirements of complicated fabrication processes and ...
Chia-Hsiang Lin +3 more
semanticscholar +1 more source
Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment
Hyperspectral imaging is capable of capturing information beyond conventional RGB cameras; therefore, several applications of this have been found, such as material identification and spectral analysis.
Yang Tang +5 more
semanticscholar +1 more source
Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection
Orthogonal subspace projection (OSP) is a versatile hyperspectral imaging technique which has shown great potential in dimensionality reduction, target detection, spectral unmixing, etc. However, due to its inherent requirement of prior target knowledge,
Chein-I Chang, Hongju Cao, Meiping Song
doaj +1 more source
HYPERSPECTRAL PANORAMIC IMAGING [PDF]
Abstract. Hyperspectral instruments are designed for the characterisation of planetary surfaces, oceans and the atmosphere. At the moment there are a number of aircraft systems and planned space missions. Examples for this are the hyperspectral missions for Earth remote sensing (EnMAP) and also for deep space and planetary missions (Mercury mission ...
Müller-Rowold, Malte, Reulke, Ralf
openaire +3 more sources

