The paper aims to solve the problem of surface movement radar (SMR) objects detection in heavy precipitation. From the perspective of enhancing the robustness against rain and snow clutter (RSC), we attribute the resist RSC problem to the edge detection, and added weather switch compared to traditional processing chains. Besides, a modified plot-forming method, termed the Nearest Search DBSCAN (NS-DBSCAN) is proposed. Not only NS-DBSCAN can filter non-object points, but automatic output the radius parameter. It is solved the problem of parameter selection in high-dimensional radar data. Simulation results verify that the proposed approach exhibits higher efficiency in multi objects scenarios, and is highly robust to RSC. Our scheme has significant performance improvement and application prospects of air traffic control (ATC).