Computational hyperspectral imaging (CHI) is a cutting-edge technique, which plays a
pivotal role in breaking through the quality bottleneck of hyperspectral images (HSI). Among …

高光谱成像技术可同时获取地物的几何, 辐射和光谱信息, 集相机, 辐射计和光谱仪能力于一体,
相比光学空间二维成像, 可对地物进行空间和光谱三维成像, 在一定的空间分辨率下 …

Graph learning is an effective dimensionality reduction (DR) manner to analyze the intrinsic
properties of high dimensional data, it has been widely used in the fields of DR for …

Hyperspectral imaging that obtains the spatial-spectral information of a scene has been
extensively applied in various fields but usually requires a complex and costly system. A …

To solve the problem that the traditional hyperspectral image classification method cannot
effectively distinguish the boundary of objects with a single scale feature, which leads to low …

To overcome the problems of imaging speed and bulky volume of the traditional
hyperspectral imaging systems, the recently proposed compact, snapshot hyperspectral …

Compressive hyperspectral imaging technology can quickly detect the encoded two-
dimensional measurements and reconstruct the three-dimensional hyperspectral images …

To reconstruct spectral signals from multi-channel observations, in particular trichromatic
RGBs, has recently emerged as a promising alternative to traditional scanning-based …

Conventional multispectral imaging systems based on bandpass filters struggle to record
multispectral videos with high spatial resolutions because of their limited light efficiencies …

This paper proposes a snapshot Compressed Light Field Imaging Spectrometer based on
compressed sensing and light field concept, which can acquire the two-dimensional spatial …