Multispectral/hyperspectral technologies can easily detect man‐made objects in vegetation
by subtle spectral differences between the object and vegetation, and powerful …

Hyperspectral remote sensing (RS) has rapidly developed in recent years and has been
widely used in the military field. This technology not only brings huge opportunities for …

The Structure-from-Motion (SfM) algorithm is widely used for point cloud reconstruction.
However, one drawback of conventional SfM based methods is that the obtained final point …

We propose a confocal hyperspectral microscopic imager (CHMI) that can measure both
transmission and fluorescent spectra of individual microalgae, as well as obtain classical …

Conventional microscopic spectral imaging suffers from extended scanning times across
wavelength or spatial dimension. To improve capabilities of dynamic microscopic spectral …

Traditionally, special nuclear material (SNM) at Sellafield has been stored in multilayered
packages, consisting of metallic cans and an overlayer of plasticized polyvinyl chloride …

Generalized bilinear model (GBM) has emerged as a representative nonlinear model in
hyperspectral image (HSI) analysis. However, the noise in GBM is presumed to be …

Hyperspectral images can offer a lot of clarity by blending both spectral and spatial data.
Details are for the researcher. A multidimensional paper in this paper, the hyperspectral …

A four-dimensional hyperspectral imager (FDHI) that combines fluorescence spectral
detection and 3D surface morphology measurement is proposed. The FDHI consists of a …

Micro-hyperspectral imaging (MHSI) is an advanced sensor technology that exploits the
distinct spectral signatures of samples for characterization, analysis, and identification …