A fuzzy feature of weather radar echo was introduced as the measurement of horizontal texture of echo image, and the local mean of the second lowest level was taken as the measurement of vertical echo scale. An algorithm of weather radar base reflectivity noise filtering was proposed based on Support Vector Machine (SVM). The results show that the echoes of non-precipitation such as ground clutter (GC), clear sky, abnormal propagation (AP) can be removed effectively, especially for the mixing echoes of precipitation and non-precipitation coexisted together, the algorithm works pretty well to identify the two kinds of echoes that mean different weathers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Weather Radar Image Filtering with Fuzzy Features Using Non Linear Technique


    Contributors:
    Mao, Ziyang (author) / Huang, Xiaoyu (author) / Cheng, Lizhi (author) / Hu, Wendong (author)


    Publication date :

    2008-05-01


    Size :

    528456 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fuzzy vector partition filtering technique for color image restoration

    Ma, Z. / Wu, H. R. / Feng, D. | British Library Online Contents | 2007


    Weather radar

    Airlines Electronic Engineering Committee | TIBKAT | 1971


    Weather Radar

    Online Contents | 1994


    Airborne Weather Radar

    Lucchi, G. A. | SAE Technical Papers | 1967


    Airborne weather radar

    Lucchi, G.A. | Engineering Index Backfile | 1967