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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