Occluded extended target recognition using moment invariants based on edge region

Using the local moment invariants based on edge region as the recognition feature and building multiple neural networks, a novel method for partially occluded extended target recognition is presented. First, the local moment invariants are calculated on partial edge region of a target and their invariance in digital condition is discussed. Then, multiple BP neural networks are built on one or several local areas of the occluded extended target, and the moment invariants based on edge region of these local areas are calculated as inputs of neural networks. Through the integrated result of multiple neural networks, the correct recognition ratio can be improved. The experimental results indicated that the moment invariants based on edge region are simple and valid, and the proposed method can