基于深度学习与仿人眼视觉成像的图像融合技术研究

近年来,针对导航避障、勘探救援等领域的需求,城市环境下遮蔽目标的成像技术成为研究热点。该文首先分析目前三维成像的技术现状,之后针对城市环境的特殊性,重点研究基于深度学习与仿人眼视觉成像的图像融合技术,并对该方法进行测试验证,实验结果表明,该方法明显提高对目标图像的识别效率。

Aiming at the needs of navigation obstacle avoidance,exploration and rescue,imaging technology for sheltered targets in urban environment has become a research hotspot in recent years.This paper first analyzes the current technical status of three-dimensional imaging,and then focuses on the image fusion technology based on deep learning and human visual imaging for the particularity of urban environment.The method is tested and verified.The experimental results show that the method significantly improves the target recognition efficiency.