Neural nets and multichannel image processing applicationsNeural nets and multichannel image processing applications Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-11-071996enThe 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.http://creativecommons.org/licenses/by/4.0/57-70COMPARES ConferenceNeurocomputation in Remote Sensing Data Analysis Proceedings of Concerted Action COMPARES (Connectionist Methods for Pre-Processing and Analysis of Remote Sensing Data) Gaganis Vasileios Γαγανης Βασιλειος Zervakis Michail Ζερβακης Μιχαηλ Christodoulou Manolis Χριστοδουλου Μανωλης Springer Verlag Pictorial data processing Picture processing Processing, Image image processing pictorial data processing picture processing processing image Artificial neural networks Nets, Neural (Computer science) Networks, Neural (Computer science) Neural nets (Computer science) neural networks computer science artificial neural networks nets neural computer science networks neural computer science neural nets computer science Discrete Fourier transform Image restoration Neural network structure Degraded image Dynamic neural network