提出了一种新的基于合作目标的动基座传感器误差绝对配准方法。
A novel bias estimation method for solving maneuvering sensor bias correction problems based on cooperation target is proposed.
实现了3个激光线结构光传感器的数据配准和数据融合，得到可用于制鞋CAD和制植CAD的脚形和植形数据。
Implement the registration and merging of 3-d range data produced by triple laser stripe sensors. The final data can be used by Shoemaking-CAD.
首先给出空中移动平台传感器数据空间配准几何坐标转换算法；
The algorithm of coordinate conversion of airborne mobile sensor spatial registration is given.
多传感器图像自动配准技术是军事领域里多传感器图像融合的必要前提。
Multiple sensor images automated registration is the necessary premise for mutiple sensor image fusion in military field.
实验表明：基于小波变换的模板相关匹配方案实现了同类传感器遥感图像的自动配准，配准速度快且精度高。
The result shows:the template correlation based on wavelet transformation can realize the automatic registration of the same kind sensing image, with fast speed and high precision.
图象配准的一个重要问题是多传感器获取的图象配准。
One challenging problem in image registration area is the registration of multi-sensor images.
该算法可以有效地实现异类传感器之间的误差配准，同时估计目标的运动状态和传感器的系统误差。
Registration for heterogeneous sensor can be realized effectively, track of target and sensors' systematic errors can be estimated simultaneously.
提出了一种基于地心坐标系（ECEF）的传感器极大似然配准算法。
An maximum likelihood registration algorithm based on earth-centered earth-fixed (ECEF) coordinate system is presented.
各传感器间的空间配准和时间配准是多传感器数据信息有效融合的关键。
Space registration and time registration are keys to fuse multi-sensors data information effectively.
利用已配准的两种传感器数据，提取建筑物框架，并映射纹理，生成三维模型。
The framework of the building and the texture are created from the aligned data sets.
这种配准包括了空间配准。空间配准就是将各自传感器的信息匹配到共同坐标系统。
Such alignment contains space alignment which converts the sensor information to the common coordinate system.
利用图像配准技术和融合技术，对两个同质传感器拍摄的车辆图像进行配准和融合。
Using the image registration technology and fusion technology, vehicles image collected by two homogeneity sensors are registered and fused;
通过对大量不同类型的影像进行配准实验，实验结果表明，当图像存在传感器差异甚至较高分辨率差异时，本文算法也能够快速准确地达到配准目的。
The results showed that the proposed method was faster and more accurate. Besides, when the sensors and resolutions of the images are very different, the method could also obtain better result.
图象配准的一个重要问题是多传感器获取的图象配准。
图象配准的一个重要问题是多传感器获取的图象配准。
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