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Development of unmanned airborne array filter spectroscopic multispectral camera
Author(s): Tianyi Zhu; Junyong Fang; Xue Liu; Xiao Wang; Xiaohong Zhang
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Paper Abstract

With the development of miniaturization of drones and spectral cameras, unmanned Airborne spectral imaging technology has become possible. How to reduce the volume and quality of multi-spectral cameras while improving data acquisition performance and efficiency, making them more widely used in low-altitude remote sensing has become the focus of current research. In this paper, we develop multi-spectral camera development and data preprocessing technology based on array filter splitting. In the development of camera, we replace the optical path splitting, filter wheel and multi-lens splitting by filter splitting, which solves the multi-spectral camera. At the same time of data quality, two array filters were designed because the imaging method limited the camera to the ideal volume and quality. The improved filter greatly reduced the spectral aliasing between the bands. In the data processing, an improved SURF stitching algorithm based on sparse matrix beam adjustment is proposed to improve the speed of image stitching. The research results show that this paper successfully developed a multi-spectral camera with simple optical path, high acquisition efficiency, stable performance, small mass and low cost, and successfully combined with small and small drones for data acquisition and processing. The academic value and production value, the data acquisition achieves the generation of multi-spectral image of the whole scene, and the band stitching precision is 0.12 pixels, which has high application value.

Paper Details

Date Published: 12 March 2019
PDF: 11 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102334 (12 March 2019); doi: 10.1117/12.2521918
Show Author Affiliations
Tianyi Zhu, Institute of Remote Sensing and Digital Earth (China)
Junyong Fang, Institute of Remote Sensing and Digital Earth (China)
Xue Liu, Institute of Remote Sensing and Digital Earth (China)
Xiao Wang, Institute of Remote Sensing and Digital Earth (China)
Xiaohong Zhang, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

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