Journal of Control Science and Engineering / 2017 / Article / Alg 1

Research Article

A Novel Measurement Matrix Optimization Approach for Hyperspectral Unmixing

Algorithm 1

The flow diagram of the proposed method. Optimization of TSCMM.
Input: number of measurements , dictionary , threshold
updating ratio , number of iterations
Initialization: Set to be TSCMM.
Update:       Set the initial value of iteration .
      Optimize Gram matrix
          (a) Compute Gram matrix: ;
          (b) Normalize: ;
          (c) Update the elements of Gram matrix ;
       Optimize measurement matrix
          (a) Set the initial value of iteration ;
          (b) Compute the orthogonal gradient factor matrix ;
           (c) Update measurement matrix: ;
           (d) , if , stop; else, return to Step  3.2);
      Compute measurement matrix ;
       , if , stop; else, return to Step  ().
Output: is the optimal measurement matrix .
Further, SNR and reconstructed signal.

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