微波视觉与SAR图像智能解译

Microwave Vision and Intelligent Perception of Radar Imagery

高分辨率雷达成像技术和人工智能、大数据技术的快速发展,有力促进了雷达图像智能解译技术的进步。由于雷达传感器本身的特殊性和电磁散射成像物理的复杂性,雷达图像的解译缺乏光学图像的直观性,准确迅速识别分类的需求对雷达图像解译提出了迫切的挑战。在借鉴人脑光视觉感知机理和计算机视觉图像处理相关技术基础上,进一步融合电磁散射物理规律及其雷达成像机理,我们提出发展微波域雷达图像解译的“微波视觉”的新交叉领域研究。该文介绍微波视觉的概念与内涵,提出微波视觉认知模型,阐述其基础理论问题与技术路线,最后介绍了作者团队在相关问题上的初步研究进展。

With the rapid development of high-resolution radar imaging technology,artificial intelligence,and big data technology,remarkable advancements have been made in the intelligent interpretation of radar imagery.Despite growing demands,radar image intrpretation is now facing various technical challenges mainly because of the particularity of the radar sensor itself and the complexity of electromagnetic scattering physical phenomena.To address the problem of microwave radar imagery perception,this article proposes the development of the cross-disciplinary microwave vision research,which further integrates electromagnetic physics and radar imaging mechanism with human brain visual perception principles and computer vision technologies.This article discusses the concept and implication of microwave vision,proposes a microwave vision perception model,and explains its basic scientific problems and technical roadmaps.Finally,it introduces the preliminary research progress on related issues achieved by the authors’group.