| Molecule-based sparse representation strategy as a replacement solution of Orthogonal Mapping Pursuit technique for decomposition of time series of vegetation indices |
| Paper ID : 1058-GEOSPATIAL (R4) |
| Authors: |
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Vahid shams *1, Alireza Safdarinezhad2, Roohollah Karimi1 1Department of Geodesy and Surveying Engineering, Tafresh University, 39518-79611, Tafresh, Iran 2Department of Geodesy and Surveying Engineering, Tafresh University, Tafresh, 39518-79611, Iran |
| Abstract: |
| Abstract In this paper, a new strategy based on introducing the molecules is proposed as a replacement alternative to the well-known OMP method for a sparse representation of the time series of vegetation indices. This method by preventing the occurrence of leakage problems has led to improving the accuracy of soft classification of agricultural products. To do so, a library of molecules (combination of atoms) is firstly generated by the representative ground truth data as the probable cultivation patterns, and then each time series of vegetation index is decomposed based on molecules. The efficiency of each molecule is measured through three different criteria 1- Maximizes the accuracy of reconstructing the input signal, 2- minimizing the number of contributed atoms in the molecule, and 3- minimizing the estimated negative abundances. Then, considering the uncertainties of representative atoms, an iterative imposition of constraints has been used for the balance of the estimated abundances. The proposed method has improved by 25.21% compared to the common OMP method in the soft classification of temporal signals of vegetation indices. |
| Keywords: |
| Sparse Representation, Atom, Molecule, OMP, Vegetation index time series |
| Status : Paper Accepted (Poster Presentation) |
