ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES
Author:
Affiliation:
1. Northeast Agricultural University, China
2. Heilongjiang Polytechnic, China
Publisher
FapUNIFESP (SciELO)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-69162024000100308&tlng=en
Reference28 articles.
1. Deep learning-based model for classification of bean nitrogen status using digital canopy imaging;Baesso M;Engenharia Agrícola,2023
2. CACPU-Net: channel attention U-net constrained by point features for crop type mapping;Bian Y;Frontiers in Plant Science,2022
3. Swin-Unet: unet-like pure transformer for medical image segmentation;Cao H,2023
4. An improved Res-UNet model for tree species classification using airborne high-resolution images;Cao K;Remote Sensing,2020
5. Optimal deep convolutional neural network based crop classification model on multispectral remote sensing images;Chamundeeswari G;Microprocessors and Microsystems,2022
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