MFAFNet: A Multiscale Fully Attention Fusion Network for Remote Sensing Image Semantic Segmentation
The semantic segmentation of high-resolution remote sensing images is widely used in various precision agriculture, urban planning, and environmental detection are some examples of these industries.Convolutional neural networks (CNNs) are excellent in the semantic segmentation of remote sensing images.CNN excels in extracting local feature details