Data for: Identifying Sunflower Lodging Based on Image Fusion and Deep Semantic Segmentation with UAV Remote Sensing Imaging

Supplementary material for the paper "Identifying Sunflower Lodging Based on Image Fusion and Deep Semantic Segmentation with UAV Remote Sensing Imaging". This dataset includes some core codes of the paper and remote sensing images for the study area. Among them, The "core code" folder contains three kinds of deep learning source code: FCN, SegNet, and our improved SegNet. The "Figure" folder contains illustrations of the original resolution of figures 4-6 in the paper. The "remote sensing" folder contains four subfolders: "Annotation" folder, "Multispectral images" folder, "Visible images" folder, "Fusion results of remote sensing images" folder. They store the results of manual annotation of remote sensing images by LabelMe, multispectral remote sensing images, visible remote sensing images, and the fusion results of visible and multispectral remote sensing images of two experimental fields, respectively.