Texture segmentation in aerial images

E. Monjoux; Gerard Brunet; Jean-Paul Rudant

doi:10.1117/12.45391

1 June 1991 Texture segmentation in aerial images

E. Monjoux, Gerard Brunet, Jean-Paul Rudant

Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45391
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

In this paper, a method is developed to performing the textural analysis and use of contextual information in classification of satellite imagery, with SPOT images. As a first step, an efficient method is used to determine for each region about twenty statistical parameters, using for some of them fractal-based techniques. As a second step, controlled segmentation is performed as follows: Use of high level knowledge to improve previous segmentation, with squared unit regions of 16 X 16 pixels. At this stage different kinds of knowledge can be used: Contextual decision rules. Cartographic or climatological information.

Citation Download Citation

E. Monjoux, Gerard Brunet, and Jean-Paul Rudant "Texture segmentation in aerial images", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45391

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