IR line scanner on UAV

Shi-chao Liu; Jie-xin Qin; Hong-xing Qi; Gong-hai Xiao

doi:10.1117/12.899754

8 September 2011 IR line scanner on UAV

Shi-chao Liu, Jie-xin Qin, Hong-xing Qi, Gong-hai Xiao

Proceedings Volume 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications; 81931C (2011) https://doi.org/10.1117/12.899754
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

This paper introduces the designing principle and method of the IR line scanner on UAV in three aspects of optical-mechanical system, electronics system and processing software. It makes the system achieve good results in practical application that there are many features in the system such as light weight, small size, low power assumption, wide field of view, high instantaneous field of view, high noise equivalent temperature difference, wirelessly controlled and so on. The entire system is designed as follows: Multi-element scanner is put into use for reducing the electrical noise bandwidth, and then improving SNR; Square split aperture scanner is put into use for solving the image ratation distortion, besides fit for large velocity to height ratio; DSP is put into use for non-uniformity correction and background nosie subtraction, and then improving the imagery quality; SD card is put into use as image data storage media instead of the hard disk; The image data is stored in SD card in FAT32 file system, easily playbacked by processing software on Windows and Linux operating system; wireless transceiver module is put into use for wirelessly controlled.

Citation Download Citation

Shi-chao Liu, Jie-xin Qin, Hong-xing Qi, and Gong-hai Xiao "IR line scanner on UAV", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81931C (8 September 2011); https://doi.org/10.1117/12.899754

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KEYWORDS

Digital signal processing

Scanners

Data storage

Signal detection

Signal to noise ratio

Computing systems

Control systems

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