Correlation filters for aircraft identification from radar range profiles

Identification of ground targets from sequential high-range-resolution radar signatures

“…There are many applications for which one is interested in performing target detection and classification based on a sequence of high-range resolution (HRR) radar signals [1][2][3][4][5][6][7]. In such scenarios one implicitly views the target from a sequence of observations, due to target and/or sensor motion.…”

Automatic Aircraft Target Recognition by ISAR Image Processing based on Neural Classifier

“…These feature vectors are invariant to the required transformations and, hence, this method is called invariant feature space. This kind of recognition system usually uses the magnitude of the Fourier transform, which is invariant to linear shifts of its input vector [23]. The advantages of using an invariant feature space are as follows: the number of features can be reduced to realistic levels, the requirements on the classifier are relaxed, and the invariance for all input objects is ensured.…”

Research on Radar Targets Recognition by Extracting 3-D Characteristic from ISAR Images

“…The 5 targets are clearly identified just with 9 group samples for each target in the aspect angle range of ±30°, while more than 60 samples must be obtained by the method of using range profiles [2][3][4]. The average recognition rate is also measured to 89.5%.…”

“…Currently, most past work mainly focus on identifying targets with the one-dimensional feature of radar echo [2][3], which need a large numbers of training samples [2][3]. However, just as the 3-dimesional structure of a object could be estimated by its images shooting at different angles [4], similarly, the 3-D structure characteristic of the scattering centers of motion target can be determined through their ISAR (Inverse Synthetic Aperture Radar) image sequence.…”