Authors: Afrooz Purarjomandlangrudi
Addresses: School of Electrical Engineering, Queensland University of Technology, 2 George Street, Gardens Point, Brisbane, QLD 4000, Australia
Abstract: The problem of classification of high-resolution remotely sensed images from urban areas is addressed. This work proposed a new method based on fuzzy system to recognise different areas in a remote sensing image. Previous studies have shown the interest of exploiting the local geometrical information of each pixel to improve the classification. This is performed using the Derivative Morphological Profile (DMP) obtained with a granulometric approach, using opening and closing operators respectively. In this paper, I present an interpretation of the DMP and then explain the fuzzy method which is pixel wise, in which histogram of grey scale image is used to determine which type of membership function has to be used.
Keywords: remote sensing images; image processing; image analysis; image classification; fuzzy sets; image object detection; image region analysis; fuzzy logic; urban areas; derivative morphological profile; DMP.
International Journal of System Control and Information Processing, 2012 Vol.1 No.2, pp.176 - 187
Published online: 19 Feb 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article