Nowadays, underwater intelligent sensing technology is widely used in seabed resource exploration. The future in this field is immeasurable, and the demand for large-scale and long-term monitoring of the internal water body is increasing. Turbidity is often encountered in underwater development as the required targets always exist in complex water environments. However, target detection in turbid water is a significantly challenging task. This video divides the target recognition methods into three modules: target detection based on deep learning methods, underwater image restoration and enhancement approaches, and underwater image processing methods based on polarization imaging technology and scattering.