A FPGA and Zernike Moments Based Near-field Laser Imaging Detector Multi-scale Real-time Target Recognition Algorithm

摘要：

Laser imaging Detector is one direction of Detectors development. The encounter attitude of the detector and aircraft can be arbitrary, and there may be clouds and smoke- thereby causing interference to imaging. This paper presents a stable algorithm based on Zernike moments which can effectively recognize flying plane and against the cloud and smoke interference. The paper attempts to calculate Zernike moments of an image by using FPGA, and treat them as some kinds of feature to identify target by using the Fisher classifier which can achieve a good classification result

关键词： FPGA Zernike moments multi-scale near-field laser imaging Detector real-time target identification

作者: LIU Li-feng MA Hui-min LU Ming-quan

作者单位: Department of Electronic Engineering Tsinghua University Beijing, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 370-374

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）