Texture analysis of terrain images using a Markov random field model

Access Full Text

Texture analysis of terrain images using a Markov random field model

For access to this article, please select a purchase option:

Buy conference paper PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Fifth International Conference on Image Processing and its Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

  • DOI:  10.1049/cp:19950766
  • ISBN: 0 85296 642 3
  • Location: Edinburgh, UK
  • Conference date: 4-6 July 1995
  • Format: PDF
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.

Inspec keywords: image classification; Markov processes; image texture; remote sensing by radar; radar imaging; Gaussian processes; geophysical techniques; synthetic aperture radar; image segmentation; random processes; geophysical signal processing

Subjects: Geophysics computing; Data and information; acquisition, processing, storage and dissemination in geophysics; Other topics in Earth sciences; Other topics in solid Earth physics; Computer vision and image processing techniques; Geophysical techniques and equipment; Geography and cartography computing; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Other topics in statistics; Optical information, image and video signal processing; Radar theory

Related content

content/conferences/10.1049/cp_19950766
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading