Design of the MKMS-FPN. The network decouples spatial attention and channel attention to separately model positional saliency and semantic importance before recombining them for enhanced feature representation. Multiple convolutional kernels with different receptive field sizes are used to capture astronomical targets at different spatial scales. The receptive field visualizations illustrate how multi-kernel aggregation enlarges the perceptual range, enabling simultaneous sensitivity to compact sources and extended emission.