Target recognition in infrared image using a new neural network model

摘要

Abstract: This paper is concerned with algorithms for target detection and recognition in infrared (IR) images. The second order differential method is developed to remove the correlation of noise and clutter, and multiframe cumulation is exploited for enhancing the target and suppressing background noise relatively. Backpropagation neural network is developed for target identifying. The proposed ANN is trained by unsupervised learning and supervised learning. !4