Global retrievals of ice particle habit and roughness from PARASOL and subsequent retrieval of the inferred asymme-try parameter can overcome the limited nature of in situ stud-ies and provide a comprehensive perspective on the asymme-try parameter value in ice clouds. The goal of the current research is to rigorously retrieve

2000年8月1日 · The algorithm classifies images into four habit categories: “spheres,” “irregulars,” “needles,” and “dendrites.” The present algorithm derives the particle habits from an analysis of dimensionless ratios of simple geometrical measures such as the x and y dimensions, perimeter, and image area.

The algorithm classifies images into four habit categories: ‘‘spheres,’’ ‘‘irregulars,’’ ‘‘needles,’’ and ‘‘dendrites.’’. The present algorithm derives the particle habits from an analysis of dimensionless ratios of simple geometrical measures such as the x and y dimensions, perimeter, and image area.

2018年11月8日 · Adapted from a technique initially developed for a ground-based snowflake imager (the MASC), the classification makes use of a customized MLR model in order to identify particle habit among six classes: columnar crystal, planar crystal, bullet rosette, aggregate, compact particle, and quasi-sphere.

To overcome the shortcoming of the Holroyd method, an improved Holroyd cloud particle habit identification method is proposed in the present study, which uses different sets of threshold values to identify the particle shape according to whether …

2019年9月10日 · To overcome the shortcoming of the Holroyd method, an improved Holroyd cloud particle habit identification method is proposed in the present study, which uses different sets of threshold values to identify the particle shape according to whether it is a complete particle or a partial particle.

2018年11月8日 · An automatic classification method to identify ice particle habit from images is proposed. The technique is applied and evaluated using three airborne probes mounted on research aircraft with significantly different specifications: the high volume precipitation spectrometer, the two-dimensional stereo probe, and the cloud particle imager.

2000年8月1日 · For an ensemble of images containing a mixture of different habits, the distribution of a particular ratio will be a linear superposition of basis distributions of ratios of the individual...

2012年8月28日 · A novel automatic classification method is proposed for identifying the habits of large ice-cloud particles and deriving the shape distribution of particle ensembles. This IC-PCA (Ice-crystal Class...

To measure the angular light scattering function of individual cloud particles that are identifiable as belonging to a particular habit, which enables the understanding of cloud remote sensing observations.