Automatic Recognition Method of Layer Paths in the Ionogram Based on Mathematical Morphology Method and Inversion Technology

Huan SONG, Xian-jian ZOU, Zeng-qiang HAN, Xin-jian TANG

Abstract


The automatic recognition of layer paths in the ionogram can get the key parameters of ionogram which are very important and necessary to the research of space exploration. This paper describes a new automatic recognition method and its application to automatically recognize layer paths from ionogram based on morphological operator and inversion technology. This method is verified through the comparison of actual detecting data with statistical analysis. Results show more than 90% automatic recognition results accord with the people analysis. This automatic recognition method has high acceptable rate and is suitable for recognition ionogram with different high angle wave states. It can accurately recognize the parameters in the ionogram with a fast and precise approach. This method meets the real-time requirements of ionosphere sounding detection in practice.

Keywords


Automatic recognition, Mathematical morphology, Inversion technique, Ionogram


DOI
10.12783/dtcse/cmee2016/5333

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