LEARNING BASED DATA MINING USING COMPRESSED SENSING

This paper presents a categorization of SAR patches using supervised approach within a dictionary learning sparse representation framework. Dictionary learning algorithms represent matrix factorization of data matrix X as the product of Dictionary and sparse coefficients Z. The dictionary learning algorithm was implemented using well known K-SVD algorithm. The trained dictionaries were used for sparse representation and classification. Experimental results showed superior results for Dictionary-Learning Sparse Representation framework for categorization of SAR patches.