Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process
Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process
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DOI：
10.1016/j.isprsjprs.2019.04.009
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发表时间：
2019-06
影响因子：
12.7
通讯作者：
B. Seyednasrollah;T. Milliman;A. Richardson
中科院分区：
文献类型：
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作者：
B. Seyednasrollah;T. Milliman;A. Richardson
近十年来，环境科学家一直使用数字重复摄影和近地表遥感来研究环境变化。然而，仍然缺乏一个用户友好、可靠且强大的平台来从大量图像中提取基于颜色的统计数据和时间序列。在这里，我们提出了一个名为 xROI 的交互式开源工具包，它可以促进时间序列提取过程并提高最终数据的质量。xROI 为科学家提供了一个响应环境，以交互方式（a）描绘感兴趣区域（ROI），（b）处理视场（FOV）变化，以及（c）提取和导出表征基于颜色的指标的时间序列数据。每次发生 FOV 变化时，该软件都让用户有机会调整掩模文件或绘制新掩模。利用 xROI 可以显着促进数字重复摄影中的数据提取，并提高提取数据的准确性和连续性。
Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, calledxROI, that facilitates the process of time series extraction and improves the quality of the final data.xROIprovides a responsive environment for scientists to interactively (a) delineate regions of interest (ROI), (b) handle field of view (FOV) shifts, and (c) extract and export time series data characterizing color-based metrics. The software gives user the opportunity to adjust mask files or draw new masks, every time an FOV shift occurs. Utilizing xROI can significantly facilitate data extraction from digital repeat photography and enhance the accuracy and continuity of extracted data.