HIGHLIGHTS
- who: nas9983 from the ( College of Information Science and, Agricultural University, Taigu, China have published the article: Nectarine Disease Detection based on Color Features and Label Sparse Dictionary Learning with Hyperspectral Images, in the Journal: (JOURNAL)
- what: In this paper a sparse dictionary learning method was proposed to realize the rapid and nondestructive detection of nectarine disease based on the multiple color features combined with the improved K-SVD (K-Singular Value Decomposition). At the model testing stage orthogonal matching pursuit (OMP) algorithm was used to sparse reconstruction the original data which can obtain the . . .
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