Transformer-enhanced land use classification algorithm for high-resolution remote sensing imagery
High-resolution remote sensing imagery provides rich spatial and semantic information for land use classification, which plays a crucial role in urban planning, resource management, and ecological monitoring. However, traditional convolutional neural network (CNN)-based approaches struggle to effectively capture long-r...