文章基本信息

标题：MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall
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作者：Jacopo Grazioli ; Gionata Ghiggi ; anne-Claire Billault-Roux 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-16
DOI：10.1038/s41597-022-01269-7
语种：English
出版社：Nature Publishing Group
摘要：Snowfall information at the scale of individual particles is rare, difcult to gather, but fundamental for a better understanding of solid precipitation microphysics. In this article we present a dataset (with dedicated software) of in-situ measurements of snow particles in free fall. the dataset includes gray- scale (255 shades) images of snowfakes, co-located surface environmental measurements, a large number of geometrical and textural snowfake descriptors as well as the output of previously published retrieval algorithms . These include: hydrometeor classifcation, riming degree estimation, identifcation of melting particles, discrimination of wind-blown snow, as well as estimates of snow particle mass and volume. the measurements were collected in various locations of the alps, antarctica and Korea for a total of 2’555’091 snowfake images (or 851’697 image triplets) . As the instrument used for data collection was a Multi-Angle Snowfake Camera (MASC), the dataset is named MASCDB . Given the large amount of snowfake images and associated descriptors, MASCDB can be exploited also by the computer vision community for the training and benchmarking of image processing systems .