摘要
基于生物视觉原理的图像匹配技术,由于其运算速度快、精度高、受制约小,已经受到人们越来越多的重视。新一代的无人机,以及导航设备,很多已经采用了基于生物视觉原理的景象匹配导航技术。
但是对于景象匹配导航而言,仅采用可见光图像匹配制导是不够的,在有云雾遮挡的条件下,或者是天气状况很差的情况,可见光图像匹配制导方法就受到了很大的制约,异源图像匹配制导方法可以有效的解决这个问题。
本文包括基于生物视觉的可见光图像匹配工作,以及异源图像(主要是SAR图像与可见光图像)匹配工作。
本文主要内容有三部分:
1、研究了可见光图像匹配的前期预处理方法,主要包括图像的几何校正以及图像的灰度处理。
2、研究并实现了可见光图像匹配的相关技术,主要包括低矮目标匹配和立体图像匹配,提出了立体效应抹除技术,并且提出了亮饱和图像处理方法。
3、研究了可见光图像与SAR图像的匹配,实现了基于自适应迭代滤波的可见光图像与SAR图像匹配方法和基于梯度的可见光图像与SAR图像匹配方法。
The Image Matching from biology vision attached more and more attentions because of its higher operation speed, higher precision, less restriction. The new unpiloted aircraft and navigation device has adopted the technology of vision navigation. For Image Matching Navigation, it's not enough for visible light image.
In case of the mist keeping out, or the condition of weather is very bad, the method of visible light image matching is more restricted. It's very important to invent a new method of heterogenous image matching. The heterogenous image mainly included infrared image, SAR image.
This paper is for Image Matching from biology vision, which included correlative experiment about the Image Matching, and SAR image and visible light image matching.
The paper is mainly including three parts:
1. The work of preoperation of the visible light image before image matching:It's including The model of geometry correction, the gray-operation model.
2. The research of the visible light image matching. Introducing a lot of basic concept of the visible light image matching, the principle of image matching from biology vision. We have do abundant experiment about matching for lower area, matching for area of severity three-dimensional effect, matching for area of non-severity three-dimensional effect, matching for area of light-saturation. The result of matching is very ideal from abundant experiment.
3. The research of SAR image matching, Achieving A method of matching of the visible image and the SAR image basing on self-adapting iterative filter, and A method of matching of the visible image and the SAR image basing on grads.
引文
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