Pulse Doppler Radar Target Recognition using a Two-Stage SVM Procedure

SVM-based Target Recognition from Synthetic Aperture Radar Images using Target Region Outline Descriptors

The work in this paper explores the discriminatory power of target outline description features in conjunction with Support Vector Machine (SVM) based classification committees, when attempting to recognize a variety of targets from Synthetic Aperture Radar (SAR) images. In specific, approximate target outlines are first determined from SAR images via a simple mathematical morphology-based segm...

Chapter 17 Pulse Doppler Radar

Micro-Doppler radar signatures for intelligent target recognition

Mechanical vibrations or rotations (micro-motion dynamics) of structures on a target may introduce frequency modulation on the radar return from the target’s body. The modulation due to this vibration or rotation is referred to as the micro-Doppler (m-D) phenomenon. In this report, the m-D effect is introduced and the mathematics of micro-Doppler signatures, induced by simple sinusoidal vibrati...

An Approach to Automatic Target Recognition in Radar Images Using SVM

This paper introduces an Automatic Target Recognition (ATR) method based on X Band Radar image processing. A software which implements this method was developed following four principal stages: digital image formation, image preprocessing, feature selection through a combination of C4.5 Decision Tree and PCA and classification using SVM. The automatic process was validated using two images sets...

Fpga Based L - Band Pulse Doppler Radar