Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …

Machine learning techniques are widely used for pixel-wise classification of hyperspectral
images. These methods can achieve high accuracy, but most of them are computationally …

Sporadic ocean color events with characteristic spectra, in particular algal blooms, call for
quick delivery of high-resolution remote sensing data for further analysis. Motivated by this …

Hyperspectral remote sensing reveals detailed information about the optical response of a
scene. Self-Organizing Maps (SOMs) can partition a hyperspectral dataset into clusters, both …

This paper describes a new optomechanical design based on a previously presented do-it-
yourself pushbroom hyperspectral imager (HSI) using commercial off-the-shelf (COTS) …

Nowadays, there is growing interest in applying artificial intelligence (AI) on board Earth
observation (EO) satellites for time-critical applications, such as natural disaster response …

Hyperspectral imaging (HSI) greatly improves the capacity to identify and monitor ground
objects due to the high spectral resolution. As the real-time remote sensing monitoring and …

This paper describes the pre-launch optical calibration and characterization of the
hyperspectral imager for the HYPerspectral Smallsat for ocean Observation (HYPSO-1) …

Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large
audiences or research groups with low funding. In this study, we used an existing do-it …

Assembly, Integration, and Verification/Testing (AIV or AIT) is a standardized guideline for
projects to ensure consistency throughout spacecraft development phases. The goal of …