Comparison of Two Convective/Stratiform Precipitation Classification Techniques: Radar Reflectivity Texture versus Drop Size Distribution–Based Approach

comparison of the amount of debris extruded apically in two rotary techniques: flexmaster and m2

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P2.2 Segmenting Radar Reflectivity Data using Texture

A novel method of performing multiscale segmentation of radar reflectivity data using statistical properties within the radar data itself is introduced. The method utilizes a K-Means clustering of texture vectors computed within the

Vertical Profiles Of: Rain Drop Size Distribution & Radar Reflectivity Factor-rain Rate (z-r) Relation

Comparison of Two Spectral-Texture Classification Algorithms

Two classification algorithms that rely on both spectral and textural information are presented and compared. The first is a standard maximum-likelihood classification procedure with a texture "band" added to the spectral band set. The second is a pattern matching algorithm which integrates the spectral and spatial characteristics of the data in recognizing a user-specified training pattern. Th...

Observation of Precipitation and Drop-Size Distribution Associated with a Typhoon using VHF Radar

This paper describes some of the microphysical and kinematic properties of precipitating systems associated with a typhoon using Chug-Li VHF radar. In order to gain a better understanding of these mechanisms and the vertical structure of the precipitation associated with a typhoon at different stages of development, an analysis has been carried out of the radar back-scattered signal in order to...