HSI control suite: An integrated GUI for operating and acquiring data from DIY push-broom hyperspectral imaging systems

The operation of custom-built, push-broom hyperspectral imaging (HSI) systems is frequently hindered by fragmented software workflows that complicate the data acquisition pipeline. To address this, we present the HSI Control Suite, an open-source Python application that provides an integrated graphical user interface (GUI) for the rapid setup and operation of do-it-yourself (DIY) benchtop HSI instruments. The software unifies hardware control, guided system calibration, and synchronized data acquisition, focusing on the production of high-quality, geometrically corrected raw data. It features a real-time corrected live view, interactive analysis tools, and persists data in self-describing HDF5 files. This tool lowers the barrier to entry for HSI research by providing a robust, turn-key solution for generating analysis-ready data.

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Publication Details

Journal
SoftwareX
Published
2026-04-27
DOI
https://doi.org/10.1016/j.softx.2026.102680
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
0.00

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article

HSI control suite: An integrated GUI for operating and acquiring data from DIY push-broom hyperspectral imaging systems

Ali AlBeladi, Mahmoud Sameh, Ahmed Hussein
SoftwareX
Remote-Sensing Image Classification
article

HSI control suite: An integrated GUI for operating and acquiring data from DIY push-broom hyperspectral imaging systems

Ali AlBeladi, Mahmoud Sameh, Ahmed Hussein
article en

Abstract

The operation of custom-built, push-broom hyperspectral imaging (HSI) systems is frequently hindered by fragmented software workflows that complicate the data acquisition pipeline. To address this, we present the HSI Control Suite, an open-source Python application that provides an integrated graphical user interface (GUI) for the rapid setup and operation of do-it-yourself (DIY) benchtop HSI instruments. The software unifies hardware control, guided system calibration, and synchronized data acquisition, focusing on the production of high-quality, geometrically corrected raw data. It features a real-time corrected live view, interactive analysis tools, and persists data in self-describing HDF5 files. This tool lowers the barrier to entry for HSI research by providing a robust, turn-key solution for generating analysis-ready data.

SoftwareXVol. 34
King Fahd University of Petroleum and Minerals (SA)
King Fahd University of Petroleum and Minerals
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Remote-Sensing Image Classification
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