DocumentCode :
952734
Title :
Performance evaluation of 2-D adaptive prediction filters for detection of small objects in image data
Author :
Soni, Tarun ; Zeidler, James R. ; Ku, Walter H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, CA, USA
Volume :
2
Issue :
3
fYear :
1993
fDate :
7/1/1993 12:00:00 AM
Firstpage :
327
Lastpage :
340
Abstract :
This work studies the performance of dimensional least mean square (TDLMS) adaptive filters as prewhitening filters for the detection of small objects in image data. The object of interest is assumed to have a very small spatial spread and is obscured by correlated clutter of much larger spatial extent. The correlated clutter is predicted and subtracted from the input signal, leaving components of the spatially small signal in the residual output. The receiver operating characteristics of a detection system augmented by a TDLMS prewhitening filter are plotted using Monte-Carlo techniques. It is shown that such a detector has better operating characteristics than a conventional matched filter in the presence of correlated clutter. For very low signal-to-background ratios, TDLMS-based detection systems show a considerable reduction in the number of false alarms. The output energy in both the residual and prediction channels of such filters is shown to be dependent on the correlation length of the various components in the input signal. False alarm reduction and detection gains obtained by using this detection scheme on thermal infrared sensor data with known object positions is presented
Keywords :
adaptive filters; filtering and prediction theory; image processing; signal detection; two-dimensional digital filters; 2-D adaptive prediction filters; Monte-Carlo techniques; TDLMS; correlated clutter; correlation length; detection system; dimensional least mean square; false alarms; image data; input signal; object positions; output energy; performance evaluation; prediction channels; prewhitening filters; receiver operating characteristics; residual channel; residual output; signal-to-background ratios; small objects detection; spatially small signal; thermal infrared sensor data; Adaptive filters; Clutter; Infrared detectors; Infrared sensors; Least squares approximation; Matched filters; Narrowband; Object detection; Oceans; Surveillance;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.236534
Filename :
236534
Link To Document :
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