I will give an overview of recently developed methods for imaging with arrays of sensors in complex (cluttered) environments. This problem arises in important applications such as medical imaging, nondestructive testing of materials, ground or foliage penetrating radar, seismic exploration for oil and gas, etc. Because of the complexity of the medium between the objects to be imaged and the array of sensors, these problems require modeling and analysis of wave propagation in random media and the use of statistical algorithms for imaging. I will present an adaptive coherent interferometric approach that we developed for imaging in clutter and will discuss its resolution limits and its statistical stability. I will also illustrate its performance with numerical simulations.