Stelios K. Mylonas

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This paper proposes an object-based segmentation/classification scheme for remotely sensed images, based on a novel variant of the recently proposed Genetic Sequential Image Segmentation (GeneSIS) algorithm. GeneSIS segments the image in an iterative manner, whereby at each iteration a single object is extracted via a genetic-based object extraction(More)
In this paper we suggest an integrated spectral-spatial classification scheme for handling remotely sensed images. The method combines the results of supervised pixel-based classification with spatial information from unsupervised image segmentation. Pixel wise classification is implemented here by a fuzzy rule-based classifier using spectral/textural(More)
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