Abstract
For remote sensing satellite data transmission, a novel algorithm is proposed in this paper. It integrates different type feature descriptors into multistage recognizers. In the first level, the dynamic clustering algorithm is used. In the second level, the improved support vector machines algorithm demonstrates its validity. In the third level, the shape matrices similarity comparison algorithm shows its excellent performance. The single child recognizers are connected in series, but they are independent of each other. Objects which are not recognized correctly by the lower level recognizers are then put into the higher level recognizers. Experimental results show that the multistage recognition algorithm improves the accuracy greatly with higher level feature descriptors and higher level recognizers. The algorithm may offer a new methodology for high speed satellite data transmission.
Similar content being viewed by others
References
Gao W B, Ran C Q. The analysis on technology development of data transmission in remote sensing satellites. Chin Space Sci Tech, 2005, 25(6): 30–36
Gao X B, Yang Z X, Xu C Y. Several new kind advanced space broad band data transmission techniques. In: Chinese Society of Space Research Space Exploration Professional Committee 16th Academic Conference Memoir. Beijing: Chinese Society of Space Research, 2003. 539–542
Lionel B, Marek B. Joint friction identification for robots using TSK fuzzy system based on subtractive clustering. In: Annual Meeting of the North American Fuzzy Information Processing Society. Missouri: IEEE, 2008. 1–6
Keerthi S, Lin C J. Asymptotic behaviors of support vector machines with gaussian kernel. Neural Comput, 2003, 15(7): 1667–1689
Zheng C H, Jiao L C. Automatic parameters selection for SVM based on GA. In: Fifth World Congress on Intelligent Control and Automation. Missouri: IEEE, 2004. 1869–1872
Zhang Z H, Pan C H, Ma S D. An automatic method of coarse registration between multi-source satellite images. In: Sensor Networks and Information Processing Conference. Missouri: IEEE, 2004. 205–209
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the State Key Laboratory Basic Research Program of China (Grant No. 9140C5305020706)
Rights and permissions
About this article
Cite this article
Zhang, S., Zhou, Q. A novel algorithm for satellite data transmission. Sci. China Ser. E-Technol. Sci. 52, 1429–1434 (2009). https://doi.org/10.1007/s11431-009-0139-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11431-009-0139-8