By Topic

An optimal matched filter for target detection in images distorted by noise

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
L. Benyonssef ; Groupe de Recherche Images et Formes, Ecole Nouvelle d'Ingenieurs en Commun., Villeneuve d'Ascq, France ; Y. Delignon ; F. Ghorbel

To analyse automatically remote sensing images, many pattern recognition methods have been developed. Among the former, quote the segmentation that consists in recognition of textures in images or again the target detection whose the goal is to find a reference target in an observation sensor. This last is the object of this paper. The authors define a detection algorithm independent of the position of the sensor as compared to the target. They investigate how the optimal filter depends on the transformations, the prototype pattern and sensor properties, and they give explicit examples of optimal filter functions for active and passive sensors

Published in:

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International  (Volume:2 )

Date of Conference:

6-10 Jul 1998