使用文件碎片的高效高光谱数据处理

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Journal of Imaging Science and Technology Pub Date : 2023-09-01 DOI:10.2352/j.imagingsci.technol.2023.67.5.050403

C. Caruncho, P. J. Pardo, H. Cwierz

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引用次数: 0

摘要

本文提出了一种简便、快速的高光谱数据处理方法。我们解释了如何将高光谱立方体分割成不同的部分，以便使用更少的资源进行处理。我们描述了处理过程，包括原始数据的提取以及黑白校准数据，数据的校准和所需光源，色彩空间和伽马变换的应用。然后，我们提出了一个内置的软件，包括一个简单的交互式图形用户界面(GUI)，这将允许研究人员以简单的方式处理高光谱图像。

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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Efficient Hyperspectral Data Processing using File Fragmentation

In this article, we present a method for processing hyperspectral data in an easy and quick manner. We explain how we split the hyperspectral cube in different sections to be processed using fewer resources. We describe the processing, which includes extraction of the raw data along with white and black calibration data, calibration of the data and application of desired light source, color space, and gamma transformation. We then present a built-in software, including an easy interactive Graphical User Interface (GUI) that will allow fellow researchers to process hyperspectral images in a simple fashion.

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来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.