Research concerning aircraft recognition of remote sensing images based on ICA Zernike invariant moments

To promote the accuracy of an automatic target recognition(ATR) system for remote sensing images,a novel feature recognition method was proposed for an airplane target based on the independent component algorithm(ICA) with Zernike invariant moments.First,the divided region of interest(ROI) was analyzed with the ICA method.Also,the shape of the target was changed to canonical form.Then,the invariant moments of normalized shapes could be extracted.They would potentially be used as a feature vector to do further recognition.The experiment demonstrates that the performance of this method is robust.It can eliminate the effects of scaling,rotation,translation,reflection,and skewing of the remote sensing image target.Furthermore,this method can recognize an airplane's target from the remote sensing images effectively.