Aerial image acquisition and processing for remote sensing

Authors

  • José F. Manera Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, (8000) Bahía Blanca, Argentina
  • Lucas Rodríguez Departamento de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur, (8000) Bahía Blanca, Argentina
  • Claudio Delrieux Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur, (8000) Bahía Blanca, Argentina
  • Ricardo Coppo Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur, (8000) Bahía Blanca, Argentina

Keywords:

UAV aircraft

Abstract

UAV (Unmanned Airborne Vehicle) high resolution digital image acquisition systems based on small format cameras provide a versatile alternative to the solution of environmental monitoring and remote sensing problems. Through digital image processing these small format optical and multi-spectral camera images can obtain orthomosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehicle equipment. They also have higher availability, resolution and flexibility can also be obtained when compared to satellite images. This paper presents research and development undertaken to produce a computational system that can automatically process optical and multi-spectral images obtained from digital cameras mounted on a UAV aircraft. The system acquires, rectifies, mosaics and georeferences these images with minimum operator assistance. Results prove that the process can almost be fully automated and that the system can be operated by minimally trained personnel. Processed images obtained by the software can be used for pattern recognition, photo interpretation, photogrammetry, and other remote sensing applications.

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References

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Published

2010-06-01

How to Cite

Manera, J. F., Rodríguez, L., Delrieux, C., & Coppo, R. (2010). Aerial image acquisition and processing for remote sensing. Journal of Computer Science and Technology, 10(02), p. 97–103. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/734

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Section

Original Articles