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The 2nd International Conference on Information Science and Engineering
Sparse representation has significant success in many fields such as signal compression and reconstruction but to the best of our knowledge, no sparse-based classification solution has been proposed in the field of remote sensing. One of the reasons is that the general optimizers are extremely slow, time consuming and needs intensive processing for l 1-minimization sparse representation. In this paper, we propose a fast sparse representation using l1-minimization based on homotopy for thedoi:10.1109/icise.2010.5689027 fatcat:nycp6unsk5bpjob3kzo35a6q3q