Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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Modelling of Image Acquisition Scenario and Verification of Mission Planning Algorithm for SAR Satellite

SAR위성의 영상획득 시나리오 모델링 및 임무설계 알고리즘 성능검증

  • Received : 2019.06.03
  • Accepted : 2019.07.27
  • Published : 2019.08.01
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Abstract

Today, satellites are widely used in many fields like communication and image recoding. The image acquired by satellites contains variety information of wide region. Therefore, they are used for agriculture, resource exploitation and management, and military purpose. The satellite is required to acquire images effectively in a given time period. Because the period that satellites can acquire images is very restrictive. In this study, the modeling of processing time and attitude maneuvering for satellite image acquisition is performed. From this modeling, mission planning algorithm using heuristic evaluation function is suggested and performance of the proposed algorithm is verified by numerical simulation.

현대 사회에서 인공위성은 통신, 영상 등의 분야에서 널리 이용되고 있다. 이 중에서도 인공위성을 통해 획득한 영상은 넓은 지역에 대한 다양한 정보를 담고 있어 농업, 자원개발 및 활용, 군사적 목적 등으로 활용되고 있다. 인공위성의 특성상 영상을 획득할 수 있는 시간이 매우 제한적이므로 주어진 시간 내에 최대한 효율적인 영상획득을 수행하는 것이 중요하다. 이를 위해서 본 연구에서는 인공위성이 영상을 획득하는 데 소요되는 시간 및 자세 기동에 대한 모델링을 수행하고 이를 바탕으로 휴리스틱 평가함수를 이용한 임무설계 알고리즘을 제안하고 수치 시뮬레이션을 통하여 해당 알고리즘의 성능을 검증하였다.

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References

  1. Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., and Papathanassiou, K. P., "A tutorial on synthetic aperture radar," IEEE Geoscience and Remote Sensing Magazine, Vol. 1, Issue 1, March 2013, pp. 6-43. https://doi.org/10.1109/MGRS.2013.2248301
  2. Evans, D. L., "Spaceborne Synthetic Aperture Radar: Current status and future directions," NASA Technical Memorandum 4679, 1995.
  3. Cumming, I. G., Neo, Y. L., and Wong, F. H., "Interpretations of the Omega-K Algorithm and Comparisons with other Algorithms," 2003 IEEE International Geoscience and Remote Sensing Symposium, Vol. 3, July 2003, pp. 1455-1458.
  4. Raney, R. K., Runge, H., Bamler, R., Cumming, I. G., and Wong, F. H., "Precision SAR Processing Using Chirp Scaling," IEEE Transactions on Geoscience and Remote Sensing, Vol. 32, No. 4, July 1994, pp. 786-799. https://doi.org/10.1109/36.298008
  5. Dastgir, N., "Processing SAR data using Range Doppler and Chirp Scaling Algorithms," MA Thesis, School of Architecture and Built Environment Royal Institute of Technology, April 2007.
  6. Kwak, J. Y., and Jeong, D. G., "A Study for Development Plan of SAR Core Technology Through Technology Readiness Level Survey and Analysis," Journal of the Korea Institute of Military Science and Technology, Vol. 14, Issue 4, August 2011, pp. 655-662. https://doi.org/10.9766/KIMST.2011.14.4.655
  7. Carrara, W. G., Goodman, R. S., and Majewski, R. M., Spotlight Synthetic Aperture Radar Signal Processing Algorithms, Boston: Artech House, 1995.
  8. Kim, H. R., and Chang, Y. K., "Mission Scheduling Optimization of SAR Satellite Constellation for Minimizing System Response Time," Aerospace Science and Technology, Vol. 40, January 2015, pp. 17-32. https://doi.org/10.1016/j.ast.2014.10.006
  9. Chen, Y. B., Luo, G. C., Mei, Y. S., Yu, J. Q., and Su, X. L., "UAV path planning artificial potential field method updated by optimal control theory," International Journal of System Science, Vol. 47, 2016, pp. 1407-1420. https://doi.org/10.1080/00207721.2014.929191
  10. Carrio, A., Sampedro, C,, Ramos, A. R., and Campoy, P., "A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles," Journal of Sensors, 2017, pp. 1-13.
  11. Benton, J., Do, M., and Kambhampati, S., "Anytime heuristic search for partial satisfaction planning," Artificial Intelligence, Vol. 173, April 200, pp. 562-592. https://doi.org/10.1016/j.artint.2008.11.010
  12. Bae, H. J., Jun, J. N., and Chae, T. B., "Development of Image Collection Planning Optimization Using Heuristic Method," Korean Journal of Remote Sensing, Vol. 28, 2012, pp. 459-466. https://doi.org/10.7780/kjrs.2012.28.4.9
  13. Bianchessi, N., and Righini, G., "Planning and scheduling algorithms for the COSMO-SkyMed constellation," Aerospace Science and Technology, Vol. 12, 2008, pp. 535-544. https://doi.org/10.1016/j.ast.2008.01.001