SAR Image Target Recognition Method by Global and Local Dictionary Sparse Representation

Figures & data

Figure 1. The features of dictionary atoms.

Figure 2. The method to construct an overcomplete dictionary.

Figure 3. The recognition process of SAR target based on sparse representation and dictionary learning.

Figure 4. The flow chart of SAR target recognition method based on multi-information joint dynamic sparse representation.

Table 1. Settings of MSTAR experimental parameters.

Data Category		The Training Samples (Pitch Angle =17°)	The Test Samples (Pitch Angle =15°)
BMP2	SN9563	233	195
	SN9566	232	196
	SNC21	233
BTR70	C71
T72	SN132
	SNS7	228	191
	SN812	231	195

Figure 5. Model recognition effects based on sparse representation and dictionary learning in different situations.

Figure 6. Results of image recognition without registration.

Figure 7. Image recognition results after logarithmic transformation and median filtering (a) Model recognition effect without registration processing; (b) Model recognition effect after registration processing.

Data availability statement

Data will be provided upon request.