Evaluation of CNN model by comparing with convolutional autoencoder and deep neural network for crop classification on hyperspectral imagery
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DOI: 10.1080/10106049.2020.1740950
Abstract: Identification of crops is an important topic in the agricultural domain. Hyperspectral remote sensing data are very useful for crop feature extraction and classification. Remote sensing data is an... read more here.
Keywords: comparing convolutional; classification; crop; cnn model ... See more keywords