My ICIP 2006 Schedule
Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
|Time:||Wednesday, October 11, 10:00 - 10:20
|| Geosciences and Remote Sensing: Radar imaging|
|| AUTONOMOUS TIME-FREQUENCY MORPHOLOGICAL FEATURE EXTRACTION ALGORITHM FOR LPI RADAR MODULATION CLASSIFICATION|
||Eric Zilberman; Naval Postgraduate School|| |
| ||Phillip Pace; Naval Postgraduate School|| |
|| An autonomous (no human operator intervention) feature extraction algorithm that can be used for classification of low probability of intercept (LPI) radar modulations using time-frequency (T-F) images is presented. The approach uses erosion and a new adaptive threshold binarization algorithm embedded within a recursive dilation process to autonomously determine the modulation energy centroid (radar’s carrier frequency). The modulation is then cropped from the original T-F image and the adaptive algorithm is used again to compute a binary feature vector for input into a multi-layer perceptron classification network. Classification results for five simulated radar modulations are shown to demonstrate the feature extraction approach and quantify the performance of the algorithm.|