The application discloses a
camouflage target detection method and
system based on a dual-domain fusion enhanced network, and relates to the technical field of target detection.The application captures key difference features of a
frequency domain amplitude spectrum and a
phase spectrum by combining
spatial domain and
frequency domain nonlinear mapping through a nonlinear dual-domain fusion module, solves the problem of performance decline in low-contrast scenes and the like in dependence on an RGB
spatial domain, and improves target discrimination;relying on a lightweight scale
perception modulation transformer and a dual-
feature fusion module, multi-scale features are extracted and aligned and fused, semantic relationships are integrated by cross attention, and the problems of detail loss and boundary blur caused by scale diversity are overcome;an upper and lower context feature enhancement module incorporates cross attention and edge auxiliary injection, accumulates multi-layer feature integration, takes into account global boundaries and local structures, effectively reduces
false positives and false negatives and edge roughness, and multi-layer auxiliary supervision further strengthens robustness.