Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
Solve linear programming problems using the Simplex method. Intuitive GUI for inputting objective functions and constraints. Visualize results and optimization steps.
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Abstract: In this article, we introduce a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted ...
Linear programming is the most fundamental optimization problem with applications in many areas including engineering, management, and economics. The simplex method is a practical and efficient ...
trac user dmitrey.kroshko wrote on 2010-08-02 I have replaced some Python cycles by vectorization, added possibility to use scipy.sparse matrices and than connected it to OpenOpt. Unfortunately, both ...
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