A STUDY ON DISTINGUISHING ONE SHIP TARGET WANTED FROM OTHER TARGETS IN AN INFRARED IMAGE

Distinguishing one ship target wanted from other targets is very important to anti-warship missile imaging guidance; A method based on neural network is suggested in this paper to recognize ship multi-targets in infrared images. To identify exactly the target wanted, one neural network is designed for each ship target wanted. Four features are defined and are used to distinguish one ship target from the other ones. A program was designed with this method, and it was simulated in computer. The results showed this method is valid when the side of the ship faces the camera.