Scope of This Chapter

In this chapter, a multisource least-squares migration algorithm is proposed to combine the strengths of least squares migration and blended sources processing to produce high quality images with low computational cost. The least-squares migration improves the image quality by suppressing migration artifacts, balancing reflector amplitudes and enhancing image resolution, and blended sources processing increases the computational efficiency. During the iterations of least-squares migration, the crosstalk noise introduced by blended sources is effectively reduced. The MLSM algorithm can be implemented with any migration method and the gain in efficiency depends on the migration method. My goal is to test the effectiveness of the MLSM algorithm with a Kirchhoff migration method.