TY - GEN
T1 - Idcube Lite - A Free Interactive Discovery Cube Software for Multi and Hyperspectral Applications
AU - Mishra, Deependra
AU - Hurbon, Helena
AU - Wang, John
AU - Wang, Steven T.
AU - Du, Tommy
AU - Wu, Qian
AU - Kim, David
AU - Basir, Shiva
AU - Cao, Qian
AU - Zhang, Hairong
AU - Xu, Kathleen
AU - Yu, Andy
AU - Zhang, Yifan
AU - Huang, Yunshen
AU - Garrett, Roman
AU - Gerasimchuk-Djordjevic, Maria
AU - Berezin, Mikhail Y.
N1 - Funding Information:
The team would like to acknowledge funding from National Science Foundation, NSF 1827656 (MB) and NSF 1355406 (MB, RG) and Mallinckrodt Institute of Radiology (HH). The original standalone package was licensed by HSpeQ LLC from Washington University where the software was previously developed and modified by HSpeQ LLC.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/24
Y1 - 2021/3/24
N2 - 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.
AB - 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.
KW - Hyperspectral
KW - Imaging software
KW - Multispectral
KW - Spectral imaging
KW - Visualization tool
UR - http://www.scopus.com/inward/record.url?scp=85112794799&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS52202.2021.9484038
DO - 10.1109/WHISPERS52202.2021.9484038
M3 - Conference contribution
AN - SCOPUS:85112794799
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2021 11th Workshop on Hyperspectral Imaging and Signal Processing
PB - IEEE Computer Society
T2 - 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021
Y2 - 24 March 2021 through 26 March 2021
ER -