Robuta

In an effort to improve technology for performance testing and calibration of multispectral and hyperspectral imagers, the National Institute of Standards and T

09/19/14 - This paper presents a variational based approach to fusing hyperspectral and multispectral images. The fusion process is formulate...

It is strongly desirable to accurately detect the clouds in hyperspectral images onboard before compression. However, conventional onboard cloud detection...

We demonstrate that broadband coherent anti-Stokes Raman scattering (CARS) microscopy can be very useful for fast acquisition of quantitative chemical images of

Convolutional neural networks (CNNs) are the go-to model for hyperspectral image (HSI) classification because of the excellent locally contextual modeling...

Deep learning-based hyperspectral image super-resolution (SR) methods have achieved great success recently. However, there are two main problems in the...