  Remote sensing image segmentation is a specific task of remote sensing image
interpretation. A good remote sensing image segmentation algorithm can provide
guidance for environmental protection, agricultural production, and urban
construction. This paper proposes a new type of UNet image segmentation
algorithm based on channel self attention mechanism and residual connection
called . In my experiment, the new network model improved mIOU by 2.48%
compared to traditional UNet on the FoodNet dataset. The image segmentation
algorithm proposed in this article enhances the internal connections between
different items in the image, thus achieving better segmentation results for
remote sensing images with occlusion.
