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ISAR Image Classification with Wavelet and Watershed Transforms
2016
International Journal of Electrical and Computer Engineering (IJECE)
<p>Inverse Synthetic Aperture Radar images are playing a significant role in classification of sea and air targets. First we acquire the ISAR images of targets using a sensor like radar and extract the characteristics of targets from the ISAR images in the form of feature vectors. The computed feature vectors are used for classification of targets. In this work, widely used and efficient segmentation tool Watershed transform and the multi resolution technique wavelet transform are explored to
doi:10.11591/ijece.v6i6.12116
fatcat:3wn3j3znyrdfdjnfkj5o62zwry