论文标题
“频谱分析和分类环境”（空间）标记工具
The "SPectrogram Analysis and Cataloguing Environment" (SPACE) Labelling Tool
论文作者
论文摘要
频谱图分析和编目环境（空间）工具是一种交互式Python工具，旨在在时频图中标记感兴趣的无线电发射特征（称为“动态光谱”）。该程序使用matplotlib的多边形选择器窗口小部件，允许用户在关闭形状（Polygon）之前在动态频谱顶部选择和编辑一个未定义的顶点（Polygon）。可以在任何频谱上绘制多个多边形，并且根据“时间频率目录”（TFCAT）格式以及其他数据以及其他数据，例如功能ID，Observer名称和数据单元，将功能名称以及每个多边形顶点的坐标以及每个多边形顶点的坐标保存到'.json'文件中。本文介绍了该工具的第一个官方稳定版本（2.0版）。
The SPectrogram Analysis and Cataloguing Environment (SPACE) tool is an interactive python tool designed to label radio emission features of interest in a time-frequency map (called 'dynamic spectrum'). The program uses Matplotlib's Polygon Selector widget to allow a user to select and edit an undefined number of vertices on top of the dynamic spectrum before closing the shape (polygon). Multiple polygons may be drawn on any spectrum, and the feature name along with the coordinates for each polygon vertex are saved into a '.json' file as per the 'Time-Frequency Catalogue' (TFCat) format along with other data such as the feature id, observer name, and data units. This paper describes the first official stable release (version 2.0) of the tool.
