The real-time data processing and lightning extraction technology of lightning imager on FY-4 meteorological satellite

Shoucai Zhang III; Shulong Bao; Hua Liang; Kun Wang; Zidong Qin

doi:10.1117/12.2505573

12 December 2018 The real-time data processing and lightning extraction technology of lightning imager on FY-4 meteorological satellite

Shoucai Zhang III, Shulong Bao, Hua Liang, Kun Wang, Zidong Qin

Author Affiliations +

Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 108462P (2018) https://doi.org/10.1117/12.2505573
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

The lightning imager is one of the three main loads of FY-4 Meteorological Satellite. It is the first optical remote sensing device for lightning detection at high altitude in our country. It runs on the geostationary orbit, and the technical index of lightning detection has reached the international leading level. Aiming at the characteristics of high orbit lightning detection, this paper analyzes the methods of lightning detection. The lightning imager uses spectral features, time and space differences between transient lightning and slowly changing clouds, land and ocean background noise. The lightning signal is detected by combining spectral filtering, time filtering, spatial filtering and frame frame background removal, and the continuous multi frame data is in real time on orbit. Theory, target extraction and coding. Through orbit verification, the lightning imager can detect the lightning signals of different intensity in the coverage area in real time, and predict, warn and track the strong convective weather in the region more timely and accurately.

Citation Download Citation

Shoucai Zhang III, Shulong Bao, Hua Liang, Kun Wang, and Zidong Qin "The real-time data processing and lightning extraction technology of lightning imager on FY-4 meteorological satellite", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108462P (12 December 2018); https://doi.org/10.1117/12.2505573

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