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Mitigation of sensor and communication system impairments for multichannel image fusion and classification

Kurekin, Andriy Alexandrovich, Marshall, Andrew David ORCID:, Radford, Darren Lee, Lever, Kenneth Vincent and Dolia, A. N. 2005. Mitigation of sensor and communication system impairments for multichannel image fusion and classification. Presented at: 8th International Conference on Information Fusion, Philadelphia, PA, 25-28 July 2005. Information Fusion, 2005 8th International Conference on. IEEE, pp. 530-537. 10.1109/ICIF.2005.1591900

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The impairments produced in image sensors and communication channels degrade image quality and introduce significant errors in the results of data fusion. To improve image fusion results in the presence of different types of impairments we propose a two-stage approach. New multistage nonlinear locally-adaptive image processing algorithms are developed and applied at the first stage to mitigate image impairments such as geometric distortions due to communication system synchronization errors, narrowband frequency interferences and sensor noise. Image fusion and classification algorithms based on artificial neural networks and support vector machines are used at the second stage. Experimental results are presented for real satellite remote sensing images and simulated data providing quantitative assessment of the proposed algorithms

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Impairment mitigation , image processing , multichannel image fusion , support vector machines
Publisher: IEEE
ISBN: 0780392868
Last Modified: 24 Oct 2022 10:15

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