TY - GEN
T1 - HyperGix-A User-Friendly, Open-Source Hyperspectral Imagery Application
AU - Gallino, John
AU - Robila, Stefan A.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper describes the design and development of HyperGix, a desktop application for downloading, viewing, and processing hyperspectral data. HyperGix's graphical interface was implemented using Python and is designed to be user-friendly and intuitive to use without much instruction necessary. The software presently consists of three main modules-the Image Viewer, the Spectra Manager, and the USGS Search modules. In the Image Viewer, the user can browse their hyperspectral image library, examine the spectra of any pixel in the image, assign pixels to material classes such as 'Water' or 'Vegetation', and perform Principal Component Analysis and automatic spectra classification using a spectral angle mapping. The Spectra Manager module allows the user to create custom material classes of their own and examine the spectra of pixels assigned to each class. Finally, the USGS Search module provides an easy search engine to query the United States Geological Survey's vast repository of Hyperion satellite sensor images and download them for analysis in the application. HyperGix is open-source and still in development. Compared to other current free / open-source solutions, the platform provides a full workflow, from data search to processing, is easy to use and expand, making it a valuable tool for citizen science projects and overall lowering the barriers of access to both data and methods in hyperspectral imagery.
AB - This paper describes the design and development of HyperGix, a desktop application for downloading, viewing, and processing hyperspectral data. HyperGix's graphical interface was implemented using Python and is designed to be user-friendly and intuitive to use without much instruction necessary. The software presently consists of three main modules-the Image Viewer, the Spectra Manager, and the USGS Search modules. In the Image Viewer, the user can browse their hyperspectral image library, examine the spectra of any pixel in the image, assign pixels to material classes such as 'Water' or 'Vegetation', and perform Principal Component Analysis and automatic spectra classification using a spectral angle mapping. The Spectra Manager module allows the user to create custom material classes of their own and examine the spectra of pixels assigned to each class. Finally, the USGS Search module provides an easy search engine to query the United States Geological Survey's vast repository of Hyperion satellite sensor images and download them for analysis in the application. HyperGix is open-source and still in development. Compared to other current free / open-source solutions, the platform provides a full workflow, from data search to processing, is easy to use and expand, making it a valuable tool for citizen science projects and overall lowering the barriers of access to both data and methods in hyperspectral imagery.
KW - Hyperspectral data
KW - open-source software
KW - processing workflow
UR - http://www.scopus.com/inward/record.url?scp=85140387809&partnerID=8YFLogxK
U2 - 10.1109/IGARSS46834.2022.9883043
DO - 10.1109/IGARSS46834.2022.9883043
M3 - Conference contribution
AN - SCOPUS:85140387809
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4019
EP - 4022
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -