Linear Filtering Models for Terrain Image Segmentation.
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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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 is applied to estimate regions of similar terrain. Results of application to digitized aerial photographs of a rural area are presented and discussed. Author
- Cartography and Aerial Photography
- Human Factors Engineering and Man Machine Systems