| Autor: |
Qian Cao, Roman Garrett, Kathleen Xu, Maria Gerasimchuk-Djordjevic, Andy Yu, Yunshen Huang, Steven T. Wang, John Wang, Tommy Du, Helena Hurbon, Deependra Mishra, Shiva Basir, Yifan Zhang, David Kim, Qian Wu, Mikhail Y. Berezin, Hairong Zhang |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
WHISPERS |
| DOI: |
10.1109/whispers52202.2021.9484038 |
| Popis: |
Multi- and hyperspectral imaging modalities encompass a growing number of spectral techniques that find many applications in geospatial, biomedical and machine vision fields. The rapidly increasing number of applications requires a convenient easy-to-navigate software that can be used by new and experienced users to analyze data, develop, apply, and deploy novel algorithms. Herein, we present our platform, IDCube that performs essential operations in hyperspectral data analysis to realize the full potential of spectral imaging. The strength of the software lies in its interactive features that enable the users to optimize parameters and obtain visual input for the user. The entire software can be operated without any prior programming skills allowing interactive sessions of raw and processed data. IDCube Lite, a free version of the software described in the paper, has many benefits compared to existing packages and offers structural flexibility to discover new hidden features. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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