Extracting Features from ISAR Images Based on ICA
Zengping Chen · Fire Control and Command Control · 2011
Inverse Synthetic Aperture Radar(ISAR) image feature is the key to target recognition based on ISAR images.In this paper Independent Component Analysis(ICA) algorithm is used to extracting features from ISAR images based on the characteristic that target area ISAR image is composed of strong scattering points.The independent features of ISAR images elucidate the distribution of scatting points in distance unit to the received wave of target and will show typical features of targets in a certain rotatable angle.Cosine measure between the projection coefficient of unknown ISAR image on independent features and samples are identified as the parameters,which will be used to find a exact sample that matching to the uncertain target.The result tested from simulated data of space objects is effective.