几何精校正c++代码

以下是一个简单的C++代码示例，用于执行几何精校正：

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main()
{
    // 读取原始图像和DEM数据
    Mat image = imread("image.tif", IMREAD_GRAYSCALE);
    Mat dem = imread("dem.tif", IMREAD_GRAYSCALE);

    // 定义GCP坐标和像素坐标
    vector<Point3d> gcp;
    vector<Point2d> pixel;

    // 添加GCP坐标和像素坐标
    gcp.push_back(Point3d(0, 0, 0));
    pixel.push_back(Point2d(0, 0));

    gcp.push_back(Point3d(0, 1, 0));
    pixel.push_back(Point2d(0, 100));

    gcp.push_back(Point3d(1, 0, 0));
    pixel.push_back(Point2d(100, 0));

    gcp.push_back(Point3d(1, 1, 0));
    pixel.push_back(Point2d(100, 100));

    // 定义多项式纠正阶数
    int order = 3;

    // 进行几何精校正
    Mat corrected;
    Mat mapx, mapy;
    Size imageSize = image.size();
    Size mapSize = imageSize;
    Mat cameraMatrix = Mat::eye(3, 3, CV_64F);
    Mat distCoeffs = Mat::zeros(5, 1, CV_64F);    Mat rvec = Mat::zeros(3, 1, CV_64F);
    Mat tvec = Mat::zeros(3, 1, CV_64F);
    Mat newCameraMatrix = Mat::eye(3, 3, CV_64F);
    fisheye::estimateNewCameraMatrixForUndistortRectify(cameraMatrix, distCoeffs, imageSize, Matx33d::eye(), newCameraMatrix, 1);
    fisheye::initUndistortRectifyMap(cameraMatrix, distCoeffs, Matx33d::eye(), newCameraMatrix, mapSize, CV_32FC1, mapx, mapy);
    remap(image, corrected, mapx, mapy, INTER_LINEAR);

    // 显示结果
    imshow("Corrected Image", corrected);
    waitKey(0);

    return 0;
}

请注意，此代码仅用于演示目的，实际应用中可能需要根据具体情况进行修改和优化。

--相关问题--:
1. 几何精校正的原理是什么？
2. 几何精校正的应用场景有哪些？
3. 如何评估几何精校正的精度？