共线方程

运用数字地形数据和共线方程，对扫描数字化的单张调绘航片进行数字纠正，从而更新GIS空间数据库的方法，是一种可供选择且很有吸引力的空间源数据获取方法。

Updating the spatial database of a GIS by rectifying a single digital identified photograph according to the DEM and collinearity equation is a kind of attractive method acquiring original spatial data .

利用2维DLT和共线方程分解相机外方位元素

Decomposing Camera 's Exterior Orientation Elements Using 2D DLT and Collinearity Equation

作为因子分解与光束法平差的桥梁，提出基于“RT”模式共线方程的概念，详细推导了其线性化公式。

Being the bridge between factorization and bundle adjustment , the notion " R-T " mode based collinearity equation is clarified as well as its linearization equations .

根据无人机的姿态参数（POS数据），借助共线方程条件，基本实现了控制点的屏幕自动刺点。

Automatic extraction of control points was realized based on the UAV attitude parameters ( POS data ) and collinear equation conditions . 5 .

首先分析了两种成像模型不同的物理基础，然后通过比较由它们得到的DEM的精度，发现利用距离/多普勒模型提取DEM的精度优于等效共线方程模型；

Firstly , the physical basis of these two models were explained , and then , the accuracies of the DEM generated by them were compared . The former is more suitable for DEM generation ;

应用摄影测量理论，将星载SAR图像近似看作一个多中心投影传感器获取的等效影像，基于星载SAR共线方程给出了SAR图像的自校验直接线性变换定位模型。

The satellite SAR imagery was regarded as an image which was acquired from the multi-center projection sensor approximately based on photogrametry theory . The satellite SAR collinearity equation was revised and the self-calibration direct linear transformation model for satellite SAR was proposed .

利用共线方程对空间实验室影象进行数字几何纠正

On the Digital Geometrical Rectifications for the Spacelab Images by Using Colinearity Equations

数字摄影测量共线方程的一种新解法

New Computation Method of Collinearity Equation Suiting Digital Photogrammetry

在框幅式成像模式下提出了基于共线方程的空间后方交会条件平差模型。

A collinearity equation based space resection adjustment model is presented under frame imaging pattern .

最后根据共线方程关系式可以计算得到每一个轮廓点的空间坐标值。

At last , each vector special coordinate value can be computed according to the co & linear equation .

首先，基于透视投影模型的共线方程，给出了导航测量方程和测量敏感矩阵；

First , navigation measurement equations and measurement sensitive matrices are provided based on the colinear equation of perspective projection .

详细推导了基于共线方程的模型比例尺求解公式，解决了基于近景影像的大角度模型连接问题。

Present model scale solving formula based on co-line function . And solved big-angle model connect problem in close-range images .

从卫星摄影测量特点出发，光束法平差的数学模型除了经典的线性化共线方程外，还引用了外方位元素连续（平滑）条件。

The conventional collinear equations and smooth condition about the exterior orientation elements are selected as the mathematical model for adjustment .

采取措施大大地简化了共线方程和双线性内插公式的运算。

3 , measure are taken to considerably simplify the computation of the collinear equation and the bili - near interpolation formula .

在遥感影像几何校正方法中，通常认为精度最高的是共线方程模型。

Of all the methods for geometric rectification of remote sensing imagery , the Collinearity Equation Modelis usually considered to have the best accuracy .

针对北京一号卫星传感器成像技术特点，在相应的共线方程成像模型基础上，设计了详细的几何纠正流程。

Aiming at the characteristics of Beijing-1 satellite imaging technology , a detailed geometric rectification process has been designed in accordance strictly with the imaging model .

简述了以共线方程为基础的最小二乘法平差模型实现单像的房屋三维重建的新方法。

A new method is presented , in which 3D reconstruction of house with single image is completed by least square adjustment model based on collinear equation .

推导出含特征点坐标比例的共线方程，采用迭代求解获得目标姿态参数；

The collinear equation was transformed including the scale of feature points on target , and the3D pose angle of target was obtained by solving the nonlinear equations .

考虑到后续需设计组合导航系统，本文从视线矢量共线方程的角度出发，详细介绍了利用高斯最小二乘微分校正法进行位姿确定的处理过程。

According to the design of integrated navigation system , we choose the Gaussian Least Square Differential Correction to determine the optimal parameters of the collinear function of the line-of-sight vector .

以共线方程作为观测模型，利用极大似然估计得到了相对导航系统满足克拉马-罗下边界的最优误差方差阵和费歇尔信息阵。

Navigation observation model is constructed based on collinearity equations , optimal error variance matrix and Fisher information matrix , satisfying Cramer-Rao lower bound , are obtained using maximum likelihood estimation .

目前近景摄影测量学空间物点定位主要应用的是空间点线线交会原理，其数学基本形式有两种：共线方程交会法和投影矩阵交会法。

At present , the principle of two-line intersection is widely used in close shot photogrammetry , whose mathematical basic style is composed of collinear equation intersection method and projection matrix intersection method .

对结构光视觉测量原理以及摄像机成像模型进行了具体的论述与分析，建立了基于共线方程的浪高解算模型。

The vision measurement principle based on structured light and camera imaging model is discussed and analyzed in detail . And the wave height solution method based on collinearity equation model is built .

该方法利用了待校正遥感影像相邻景的成像参数，同时建立预测模型，内插或外推待校正遥感影像的成像参数，从而通过共线方程模型实现无地面控制点的高分辨率遥感影像地理定位。

That is , the imaging parameters of consecutive imagery are calculated to establish the prediction formula and then to forecast the imaging parameters of high resolution imagery . Thus the rigorous model is introduced to precisely locate imagery .

在图像处理过程中，影像纠正作为遥感图像处理过程的一个重要环节，其处理方法也多种多样，传统的以共线方程和多项式方法为代表的纠正模型各有其优缺点。

Geometric correction for which there have been various processing methods , is one of the important parts of remote sensing image processing . In practice , the traditional model based on polynomial functions and the model based on collinearity equation are representative and used commonly .

本文首先解释T-共线方程的概念，提出了基于T-共线方程进行三维配准的准则和数学模型，以及两共轭影像在三维空间进行配准和三维重建的计算方法。

At first , the concept of T-collinear equation is explained in this paper . Based on T-collinear equation the rules and mathematic model for 3D registration and 3D reconstruction are put forward . The computation method for 3D registration and 3D reconstruction with two conjugate images is studied .

航天线阵CCD传感器的严格几何模型，即共线条件方程，虽具有较高的定位精度，但它是建立在理想情况下的模型。

Though the strict geometric model of linear CCD satellite remote sensing images , ie the collinearity equations , has a high positioning accuracy , but it is set up in an ideal circumstances .

空间后方交会是摄影测量学的基本内容，其解算的理论基础是共线条件方程及其线性化。

Space resection is a fundamental element in photogrammetry which is based on the collinearity equations and linearization .

给出一种新的共线条件方程线性化方法，使共线条件方程线性化过程简明易懂，便于掌握。

A new method of the linearization of collinearity equations is given in this thesis . It makes the process of the linearization of collinearity equations concise , convenient and easy to master .

首先根据严格的中心投影共线条件方程，推导出目标飞行器光学特征点坐标和对应的像点坐标与内参数及相对位置和姿态的严格解析关系；

At first , in the paper the rigorous analytical relations among the feature point coordinates of the target spacecraft , the corresponding image point coordinate , interior parameters , relative position and pose are induced according to rigorous collinear equation of the central projection .

两种方法的测定原理都是基于物点、摄影中心、像点空间共线的条件方程。

The measurement principles of the two methods are both based on object point central point of lens and special co-linear equation of image point .