A Procedure for Automatic Object-based Classification

Object-based classification is a promising methodology. Unlike pixel-based techniques which only use the layer pixel values, the object-based techniques can also use shape and context information of a scene texture. These extra degrees of freedom provided by the objects will aid the identification of visible textures. In this article, we present a procedure for object-based automatic classification. Using this procedure, we made algorithms to classify the geological faults using remote sensing data and fission-tracks in microscopic images. We also show how the notion of the object makes the task easy to use the result of classification for varius studies.