Abstract
Image fusion principles have been widely used in application of imaging remote sensing as an effective means of synergistic information combination. Multi-sensor data fusion can obtain much more and more exact information than single sensor. A sensor often with difficulty realizes target identification, multi-sensors can quite easily identify the goal. A new image fusion algorithm between multi-spectral and panchromatic images based on object recognition is presented, which focuses on the fusion rules of wavelet coefficients and the coherent selection. The algorithm makes full use of different characters of multi-spectral and panchromatic images, which can enhance recognition capability. Experiment data indicate this algorithm improves the fusion quality, and it can benefit the correct target classification. Therefore, the approach proposed is an effective method for target recognition.
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Acknowledgment
This chapter is supported by Funding Project for National High Technology Research and Development Program (2009AA0101), Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality (PHR201007121), the Priority Research Project funded by North China University of Technology.
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© 2012 Springer Science+Business Media B.V.
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Yong-mei, Z., Li, M., Wen-kai, L. (2012). A New Image Fusion Algorithm for Recognition Capability Enhancements. In: Yang, Y., Ma, M. (eds) Green Communications and Networks. Lecture Notes in Electrical Engineering, vol 113. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2169-2_29
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DOI: https://doi.org/10.1007/978-94-007-2169-2_29
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