2/5/2025 | 11:00 AM - 12:20 PM | Grand Peninsula C

Open-source software ecosystem development for hyperspectral imaging

Author(s)

Bai Xue | Yale University
Bowen Duanmu | Yale University
Holly Rushmeier | Yale University

Abstract

Hyperspectral imaging (HSI) has the potential to revolutionize various scientific fields by enabling detailed analysis of materials and phenomena beyond the capabilities of traditional RGB imaging systems. However, the adoption of HSI has been hindered by the lack of an integrated software and data-sharing infrastructure. This project aims to address these challenges by developing a sustainable, open-source software ecosystem (HSI-OSE) for HSI, which facilitates cross-disciplinary collaboration by providing a unified platform for sharing datasets, software tools, hardware resources, and literature. The project aims to overcome key issues such as the fragmentation of HSI resources, unnecessary duplication of efforts, and limited access to comprehensive datasets for machine learning (ML) and artificial intelligence (AI) applications. An online platform the HSI Resource Portal was developed with a user interface and a MySQL-based database, allows users to contribute and access resources efficiently. The portal also includes a glossary to bridge terminological gaps between different disciplines and is managed through a user-role system that encourages secure and active participation. Interviews were also conducted to identify the challenges in HIS for OSE development.