Title :
Texture analysis of terrain images using a Markov random field model
Author :
Musgrave, M.C. ; Quinn, A.P.
Author_Institution :
Dublin Univ., Ireland
Abstract :
An approach to determining the textural attributes of an image an a pixel-by-pixel basis is presented. The technique is based on modelling the spatial interactions within the image using a Gaussian Markov random field. The method is applied to the classification of homogeneous texture images, artificial texture collages and a composite-texture SAR terrain image. The capabilities and limitations of the technique are considered in the light of these classification experiments
Keywords :
Gaussian processes; Markov processes; geophysical signal processing; geophysical techniques; image classification; image segmentation; image texture; radar imaging; random processes; remote sensing by radar; synthetic aperture radar; Gaussian Markov random field; Markov random field model; artificial texture collages; classification experiments; composite-texture SAR terrain image; geophysical measurement technique; homogeneous texture images; image classification; image textural attributes; radar remote sensing; spatial interactions; synthetic aperture radar; texture analysis;
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
DOI :
10.1049/cp:19950766
