An integrated compact airborne multispectral imaging system using embedded computer

Yuedong Zhang; Li Wang; Xuguo Zhang

doi:10.1117/12.2204805

6 August 2015 An integrated compact airborne multispectral imaging system using embedded computer

Yuedong Zhang, Li Wang, Xuguo Zhang

Proceedings Volume 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China; 966903 (2015) https://doi.org/10.1117/12.2204805
Event: Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 2014, Xian City, China

Abstract

An integrated compact airborne multispectral imaging system using embedded computer based control system was developed for small aircraft multispectral imaging application. The multispectral imaging system integrates CMOS camera, filter wheel with eight filters, two-axis stabilized platform, miniature POS (position and orientation system) and embedded computer. The embedded computer has excellent universality and expansibility, and has advantages in volume and weight for airborne platform, so it can meet the requirements of control system of the integrated airborne multispectral imaging system. The embedded computer controls the camera parameters setting, filter wheel and stabilized platform working, image and POS data acquisition, and stores the image and data. The airborne multispectral imaging system can connect peripheral device use the ports of the embedded computer, so the system operation and the stored image data management are easy. This airborne multispectral imaging system has advantages of small volume, multi-function, and good expansibility. The imaging experiment results show that this system has potential for multispectral remote sensing in applications such as resource investigation and environmental monitoring.

Citation Download Citation

Yuedong Zhang, Li Wang, and Xuguo Zhang "An integrated compact airborne multispectral imaging system using embedded computer", Proc. SPIE 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 966903 (6 August 2015); https://doi.org/10.1117/12.2204805

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