New Automatic Target Recognition Approach based on Hough Transform and Mutual Information

Abstract

This paper presents a new automatic target recognition approach based on Hough transform and mutual information. The Hough transform groups the extracted edge points in edged images to an appropriate set of lines which helps in features extraction and matching processes in both of target and stored database images. This gives an initial indication about realization and recognition between target image and its corresponding database image. Mutual information is used to emphasize the recognition of the target image and its verification with its corresponding database image. The proposed recognition approach passed through five stages which are: edge detection by Sobel edge detector, thinning as a morphological operation, Hough transformation, matching process and finally measuring the mutual information between target and the available database images. The experimental results proved that, the target recognition is realized and gives more accurate and successful recognition rate than other recent recognition techniques which are based on stable edge weighted HOG.

A Target Recognition Algorithm of Multi-Source Remote Sensing Image Based on Visual Internet of Things

“…With the continuous improvement of aerospace technologies such as data communication and sensors, the acquisition of data in the field of remote sensing has gradually developed towards multi-source [4]. Therefore, to comprehensively utilize the information of heterogeneous remote sensing images, image registration is the first condition [5].…”