用于多光谱图像处理的开源工具包

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2024-12-03 DOI:10.1002/gdj3.283
James Finnis, Helen C. Miles, Ariel Ladegaard, Matt Gunn
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引用次数: 0

摘要

PCOT是一个Python程序和库,允许用户操作多光谱图像和相关数据。它正在积极开发,以支持ExoMars任务,并打算用于罗莎琳德·富兰克林(Rosalind Franklin)火星车的数据,但它的使用潜力要大得多,超出了这一特定背景。PCOT在图形模型上运行——数据通过一组节点处理,这些节点以各种方式操作数据(例如,添加感兴趣的区域,执行数学运算,将图像拼接在一起,合并图像通道,绘制光谱)。PCOT文档描述了这个图,我们打算将文档与其生成的数据一起分发,以帮助再现性。PCOT是开源的,可以对核心软件做出贡献,作为插件,或者在您自己的代码中使用PCOT作为库。
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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PCOT: An open-source toolkit for multispectral image processing

PCOT is a Python program and library which allows users to manipulate multispectral images and associated data. It is in active development in support of the ExoMars mission and intended to be used on data from the Rosalind Franklin rover, but it has much greater potential for use beyond this specific context. PCOT operates on a graph model – the data are processed through a set of nodes which manipulate it in various ways (e.g. add regions of interest, perform maths, splice images together, merge image channels, plot spectra). A PCOT document describes this graph, and we intend that documents are distributed along with the data they generate to help reproducibility. PCOT is open-source, and contributions can be made to the core software, as plugins, or by using PCOT as a library in your own code.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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