Article

Classification of apple leaf conditions in hyper-spectral images for diagnosis of Marssonina blotch using mRMR and deep neural network

2018-05-01

Abstract excerpt

In general, in order to reduce the number of bands in hyper-spectral images, transformed features such as principal component analysis (PCA) cannot directly provide information indicating which raw spectral bands are essential, even though they provide reduced dimensionality for the consecutive analysis. This paper proposes minimum redundancy and maximum relevance (mRMR) feature selection techniques to directly ch...

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Literature Corpus work: 39899e3d-0284-5815-b059-1e053cf60812
DOI: 10.1016/j.compag.2018.02.025

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Classification of apple leaf conditions in hyper-spectral images for diagnosis of Marssonina blotch using mRMR and deep neural networkDOI 10.1016/j.compag.2018.02.025Read

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