Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

AERIAL FOGGY IMAGE REJECTION USing SINGLE NEURON


DOI: 10.5937/jaes18-24786
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Mihaela Bukljas*
University of Zagreb, Faculty of Transport and Traffic science, Zagreb, Croatia

Ivan Pavic
University of Split , Faculty of Maritime Studies, Split, Croatia

Pero Vidan
University of Split , Faculty of Maritime Studies, Split, Croatia

Srdjan Vuksa
University of Split , Faculty of Maritime Studies, Split, Croatia

Aerial images taken during terrain mapping can be affected with a foggy weather. In this paper we proposed new fog detection method and image rejection using single neuron. Fog detection is based on statistical data collected by converting color image to grayscale image and then applying gamma correction factor. With this statistical data, training dataset is created for single neuron. Neuron is simple two input neuron with sigmoid activation function. We establish connection with single neuron and statistical data so it can recognize is there presence of fog in aerial image.

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