IDCube Lite: Free Interactive Discovery Cube software for multi- and hyperspectral applications.

Q3 Chemistry
Journal of Spectral Imaging Pub Date : 2021-01-01 Epub Date: 2021-05-05 DOI:10.1255/jsi.2021.a1
Deependra Mishra, Helena Hurbon, John Wang, Steven T Wang, Tommy Du, Qian Wu, David Kim, Shiva Basir, Qian Cao, Hairong Zhang, Kathleen Xu, Andy Yu, Yifan Zhang, Yunshen Huang, Roman Garnett, Maria Gerasimchuk-Djordjevic, Mikhail Y Berezin
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引用次数: 1

Abstract

Multi- and hyperspectral imaging modalities encompass a growing number of spectral techniques that find many applications in geospatial, biomedical, machine vision and other fields. The rapidly increasing number of applications requires convenient easy-to-navigate software that can be used by new and experienced users to analyse data, and develop, apply and deploy novel algorithms. Herein, we present our platform, IDCube Lite, an Interactive Discovery Cube that performs essential operations in hyperspectral data analysis to realise the full potential of spectral imaging. The strength of the software lies in its interactive features that enable the users to optimise parameters and obtain visual input for the user in a way not previously accessible with other software packages. 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 that allow users to integrate novel computational methods.

Abstract Image

Abstract Image

Abstract Image

IDCube Lite:用于多光谱和高光谱应用的免费交互式发现立方体软件。
多光谱和高光谱成像模式包含了越来越多的光谱技术,在地理空间、生物医学、机器视觉和其他领域都有很多应用。快速增长的应用程序数量需要方便易用的软件,新用户和有经验的用户可以使用这些软件来分析数据,开发、应用和部署新的算法。在此,我们展示了我们的平台,IDCube Lite,一个交互式发现立方体,执行高光谱数据分析的基本操作,以实现光谱成像的全部潜力。该软件的优势在于它的交互功能,使用户能够以其他软件包以前无法访问的方式优化参数并为用户获得视觉输入。整个软件可以在没有任何事先编程技能的情况下操作,允许原始和处理数据的交互会话。IDCube Lite是论文中描述的软件的免费版本,与现有软件包相比,它有许多优点,并且提供了结构灵活性,可以发现新的隐藏功能,允许用户集成新的计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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