Paper Info
Title
An estimation-theoretic approach to terrain image segmentation
Abstract
A method for modeling images of natural terrain is developed and applied to the segmentation of aerial photographic data. An underlying stochastic structure based on linear filtering concepts provides a means of modeling the terrain in local areas of the image. Superimposed on this is a Markov random field that describes transitions from regions of one terrain type to another. Maximum likelihood and maximum a posteriori estimation are applied to estimate regions of similar terrain. Results of application to digitized aerial photographs are presented and discussed.
Year
DOI
Venue
1982
10.1016/0734-189X(83)90079-8
Computer Vision, Graphics, and Image Processing
DocType
Volume
Issue
Journal
22
3
ISSN
Citations 
PageRank 
0734-189X
12
6.39
References 
Authors
0
1
Name
Order
Citations
PageRank
Charles W. Therrien110442.99