A Multispectral-Infrared Object Detection Method Based on Cross-Modality Image Feature Filtering Fusion

Abstract

In this paper, a multi-spectral infrared target detection method is established based on image feature filtering fusion. Multispectral(MS) images and infrared(INF) images are used for fusion. Considering the advantages of the multi-spectral image and infrared image, use the feature filtering method to extract the features of the two kinds of images, and then carry out the fusion and subsequent detection. We use FLIR datasets to evaluate the proposed method, and the accuracy has been improved. The comparison results show that the proposed multispectral-infrared object detection method based on cross-modality image feature filtering fusion over the conventional detection methods.