Abstract:Conventional reverse time migration (RTM) has disadvantages such as low frequency imaging, heavy noise, high requirements for acquisition, lack of compensating transmission losses and etc. In this paper, we propose a method for true-amplitude imaging based on least-squares reverse time migration. We treat the true-amplitude imaging as a linear inversion problem. Firstly, we derive the linearized wave propagation operator which is also called de-migration operator, and then we do some theoretical derivation on least-squares reverse time migration (LSRTM). Numerical tests on a multi-layer model and Marmousi model prove that LSRTM obtains true-amplitude imaging with higher imaging resolution than conventional reverse time migration, and the noise was also well suppressed.