This paper focuses on the localisation and characterisation of noise sources generated by aircraft flyovers near airports. Classical delay-and-sum beamforming algorithm has first been used to realise acoustic maps of sound sources, but the image resolution and the dynamic range of this technique are limited. To overcome these physical limitations, large arrays of microphones with many channels and a wide span are typically used. Deconvolution techniques have been developed these past two decades, first for static sources, then enlarged to moving sources. But applying them to flyover noise remain challenging due to the speed and distance of the aircraft, or the directivity of the sources. An alternative has emerged in recent years, based on an iterative deconvolution processing in the time domain called CLEAN-T. The performance of this method, inspired by the CLEAN method in the frequency domain and recently applied to this new field, is here compared to the widely used DAMAS-MS in the frame of simulations and on a real experimental case.