By Topic

A robust adaptive multi-spectral object detection by using wavelet transform

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
$31 $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

4 Author(s)
Yu, X. ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Reed, I.S. ; Kraske, W. ; Stocker, A.D.

A robust multi-spectral adaptive object detection algorithm is derived for a multiple spatial resolution and orientation decomposition image mode by using a wavelet transform. The second-order statistical moments of the wavelet transform are computed for a random image field and then used to develop a generalized maximum likelihood ratio test and to analyze detection performance. The computational cost of the new detector can be reduced substantially when compared to conventional spatial size and orientation matched filter-bank approach by using a coarse-to-fine spatial matching strategy

Published in:

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on  (Volume:5 )

Date of Conference:

23-26 Mar 1992