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Evaluation of CNN model by comparing with convolutional autoencoder and deep neural network for crop classification on hyperspectral imagery

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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... Click to show full 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...

Keywords: comparing convolutional; classification; crop; cnn model; model comparing; evaluation cnn

Journal Title: Geocarto International
Year Published: 2020

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