Optimal deep convolutional neural network based crop classification model on multispectral remote sensing images

•Propose a new ODCNN-CCM model for crop classification on multispectral remote sensing images.•Employ WF based image preprocessing and RetinaNet model as a feature extractor.•Apply DSO with DSAE model is applied for the crop classification process. Multispectral remote sensing images (MRSI)are widel...

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Veröffentlicht in:	Microprocessors and microsystems Jg. 94; S. 104626
Hauptverfasser:	Chamundeeswari, G., Srinivasan, S., Bharathi, S. Prasanna, Priya, P., Kannammal, G. Rajendra, Rajendran, Sasikumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2022
Schlagworte:	Computer vision Crop classification Deep learning Deep transfer learning Hyperparameter tuning Multispectral remote sensing images Deep learning Crop classification Computer vision Multispectral remote sensing images Deep transfer learning Hyperparameter tuning
ISSN:	0141-9331, 1872-9436
Online-Zugang:	Volltext
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