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Neural nets and multichannel image processing applications

Gaganis Vasileios, Zervakis Michail, Christodoulou Manolis

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URI: http://purl.tuc.gr/dl/dias/C78B6FA4-52DB-4859-84BF-1169B2AF62E6
Year 1996
Type of Item Conference Full Paper
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Bibliographic Citation V. Gaganis, M. Zervakis and M. Christodoulou, “Neural nets and multichannel image processing applications”, in 1996 COMPARES Conference, pp. 57-70. doi: 10.1007/978-3-642-59041-2_7 https://doi.org/10.1007/978-3-642-59041-2_7
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Summary

The application of neural network technology to multichannel image processing is presented in this paper. Topics such as image restoration, segmentation, transformation and compression are discussed, covering a wide range of image processing and analysis areas. The problems are converted to optimisation or interpolation problems through the appropriate mathematical interface. This alternative interpretation enables the application of well-known neural network structures, perfectly suited for such purposes due to the accuracy and high speed of computation. The proposed framework handles multichannel data in a compact form and, thus, it is directly applicable to remote sensing.

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