谷歌瓦片地图纠偏

    对谷歌瓦片地图进行纠偏，有两种方法：一是对拼接大图进行纠偏，然后重新切片；二是直接对瓦片图进行纠偏。这里我用的是第二种方法，即直接对瓦片地图进行纠偏。

App.config配置：

<appSettings>
  <add key="inputPath" value="D:\_临时文件GISMap1818940751"/>
  <add key="outputPath" value="D:\_临时文件GISMapOutput1818940751"/>
  <add key="deltaPixcelX" value="1031"/>
  <add key="deltaPixcelY" value="421"/>
  <add key="fromMapZoom" value="1"/>
  <add key="toMapZoom" value="18"/>
</appSettings>

对瓦片图进行纠偏处理的算法代码：

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Configuration;
using System.Data;
using System.Drawing;
using System.IO;
using System.Linq;
using System.Text;
using System.Text.RegularExpressions;
using System.Threading;
using System.Threading.Tasks;
using System.Windows.Forms;
using Utils;

namespace TileProcess
{
    public partial class Form1 : Form
    {
        private int _count = 0;
        private int _deltaPixcelX;
        private int _deltaPixcelY;
        private string _inputPath;
        private string _outputPath;
        private int _fromMapZoom;
        private int _toMapZoom;

        private DateTime _startTime;
        private int _lastCount;

        public Form1()
        {
            InitializeComponent();

            _deltaPixcelX = Convert.ToInt32(ConfigurationManager.AppSettings["deltaPixcelX"]);
            _deltaPixcelY = Convert.ToInt32(ConfigurationManager.AppSettings["deltaPixcelY"]);
            _inputPath = ConfigurationManager.AppSettings["inputPath"];
            _outputPath = ConfigurationManager.AppSettings["outputPath"];
            _fromMapZoom = Convert.ToInt32(ConfigurationManager.AppSettings["fromMapZoom"]);
            _toMapZoom = Convert.ToInt32(ConfigurationManager.AppSettings["toMapZoom"]);
        }

        private void btnTileProcess_Click(object sender, EventArgs e)
        {
            this.btnTileProcess.Enabled = false;

            Task.Factory.StartNew(() =>
            {
                LogUtil.Log("开始处理");
                Process();
            });

            Thread thread = new Thread(new ThreadStart(() =>
            {
                int sleepInterval = 1000;
                while (true)
                {
                    Thread.Sleep(sleepInterval);
                    this.BeginInvoke(new Action(() =>
                    {
                        double totalSeconds = DateTime.Now.Subtract(_startTime).TotalSeconds;
                        int avg = (int)(_count / totalSeconds);
                        lblMsg.Text = string.Format("已处理 {0} 张瓦片图", _count);
                        if (_count - _lastCount > 0)
                        {
                            lblSpeed.Text = string.Format("当前速度：{0} 张/每秒，平均速度：{1} 张/每秒", (_count - _lastCount) * 1000.0 / sleepInterval, avg);
                        }
                        _lastCount = _count;
                    }));
                }
            }));
            thread.IsBackground = true;
            thread.Start();
        }

        /// <summary>
        /// 瓦片纠偏处理
        /// </summary>
        private void Process()
        {
            _startTime = DateTime.Now;
            Regex regex = new Regex(@"\(d+)\(d+).png", RegexOptions.IgnoreCase);
            for (int i = _fromMapZoom; i <= _toMapZoom; i++)
            {
                int deltaPixcelX = (int)Math.Round(_deltaPixcelX / Math.Round(Math.Pow(2, 18 - i)));
                int deltaPixcelY = (int)Math.Round(_deltaPixcelY / Math.Round(Math.Pow(2, 18 - i)));

                string[] fileArr = Directory.GetFiles(_inputPath + "\" + i, "*.*", SearchOption.AllDirectories);
                foreach (string file in fileArr)
                {
                    ThreadData data = new ThreadData();
                    data.File = file;
                    data.I = i;
                    data.DeltaPixcelX = deltaPixcelX;
                    data.DeltaPixcelY = deltaPixcelY;

                    ThreadUtil.Run((obj) =>
                    {
                        ThreadData d = obj as ThreadData;

                        Match match = regex.Match(d.File);
                        if (match.Success)
                        {
                            int x = Convert.ToInt32(match.Groups[1].Value);
                            int y = Convert.ToInt32(match.Groups[2].Value);

                            string pathTarget = string.Format(string.Format(@"{0}{1}{2}{3}.png", _outputPath, d.I, x, y));
                            if (!File.Exists(pathTarget))
                            {
                                if (!Directory.Exists(Path.GetDirectoryName(pathTarget)))
                                {
                                    Directory.CreateDirectory(Path.GetDirectoryName(pathTarget));
                                }
                                Bitmap bmpNew = new Bitmap(256, 256, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
                                Graphics graph = Graphics.FromImage(bmpNew);

                                int deltaX = data.DeltaPixcelX / 256;
                                int deltaY = data.DeltaPixcelY / 256;

                                //临时变量定义
                                string pathSource = null;
                                FileStream fs = null;
                                byte[] bArr = null;
                                MemoryStream ms = null;
                                Bitmap bmpSource = null;

                                //起始
                                pathSource = string.Format(@"{0}{1}{2}{3}.png", _inputPath, d.I, x + deltaX, y + deltaY);
                                if (File.Exists(pathSource))
                                {
                                    fs = new FileStream(pathSource, FileMode.Open, FileAccess.Read);
                                    bArr = new byte[fs.Length];
                                    int readCount = fs.Read(bArr, 0, bArr.Length);
                                    ms = new MemoryStream(bArr, 0, readCount);
                                    bmpSource = new Bitmap(ms);
                                    graph.DrawImage(bmpSource, 0, 0, new RectangleF(data.DeltaPixcelX % 256, data.DeltaPixcelY % 256, 256 - data.DeltaPixcelX % 256, 256 - data.DeltaPixcelY % 256), GraphicsUnit.Pixel);
                                    graph.Flush();

                                    fs.Close();
                                    fs = null;
                                    ms.Close();
                                    ms = null;
                                    bmpSource.Dispose();
                                    bmpSource = null;
                                }

                                //右
                                pathSource = string.Format(@"{0}{1}{2}{3}.png", _inputPath, d.I, x + deltaX + 1, y + deltaY);
                                if (File.Exists(pathSource))
                                {
                                    fs = new FileStream(pathSource, FileMode.Open, FileAccess.Read);
                                    bArr = new byte[fs.Length];
                                    int readCount = fs.Read(bArr, 0, bArr.Length);
                                    ms = new MemoryStream(bArr, 0, readCount);
                                    bmpSource = new Bitmap(ms);
                                    graph.DrawImage(bmpSource, 256 - data.DeltaPixcelX % 256, 0, new RectangleF(0, data.DeltaPixcelY % 256, data.DeltaPixcelX % 256, 256 - data.DeltaPixcelY % 256), GraphicsUnit.Pixel);
                                    graph.Flush();

                                    fs.Close();
                                    fs = null;
                                    ms.Close();
                                    ms = null;
                                    bmpSource.Dispose();
                                    bmpSource = null;
                                }

                                //下
                                pathSource = string.Format(@"{0}{1}{2}{3}.png", _inputPath, d.I, x + deltaX, y + deltaY + 1);
                                if (File.Exists(pathSource))
                                {
                                    fs = new FileStream(pathSource, FileMode.Open, FileAccess.Read);
                                    bArr = new byte[fs.Length];
                                    int readCount = fs.Read(bArr, 0, bArr.Length);
                                    ms = new MemoryStream(bArr, 0, readCount);
                                    bmpSource = new Bitmap(ms);
                                    graph.DrawImage(bmpSource, 0, 256 - data.DeltaPixcelY % 256, new RectangleF(data.DeltaPixcelX % 256, 0, 256 - data.DeltaPixcelX % 256, data.DeltaPixcelY % 256), GraphicsUnit.Pixel);
                                    graph.Flush();

                                    fs.Close();
                                    fs = null;
                                    ms.Close();
                                    ms = null;
                                    bmpSource.Dispose();
                                    bmpSource = null;
                                }

                                //右下
                                pathSource = string.Format(@"{0}{1}{2}{3}.png", _inputPath, d.I, x + deltaX + 1, y + deltaY + 1);
                                if (File.Exists(pathSource))
                                {
                                    fs = new FileStream(pathSource, FileMode.Open, FileAccess.Read);
                                    bArr = new byte[fs.Length];
                                    int readCount = fs.Read(bArr, 0, bArr.Length);
                                    ms = new MemoryStream(bArr, 0, readCount);
                                    bmpSource = new Bitmap(ms);
                                    graph.DrawImage(bmpSource, 256 - data.DeltaPixcelX % 256, 256 - data.DeltaPixcelY % 256, new RectangleF(0, 0, data.DeltaPixcelX % 256, data.DeltaPixcelY % 256), GraphicsUnit.Pixel);
                                    graph.Flush();

                                    fs.Close();
                                    fs = null;
                                    ms.Close();
                                    ms = null;
                                    bmpSource.Dispose();
                                    bmpSource = null;
                                }

                                bmpNew.Save(pathTarget);
                                //bmpNew.Save("d:\_临时文件\1234.png"); //测试用

                                bmpNew.Dispose();
                                bmpNew = null;
                                graph.Dispose();
                                graph = null;

                                _count++;
                            } //end if (!File.Exists(pathTarget))
                        } //end if (match.Success)
                    }, data, (ex) =>
                    {
                        this.BeginInvoke(new Action(() =>
                        {
                            lblErrorMsg.Text = "出错：" + ex.Message + "
" + ex.StackTrace;
                            LogUtil.LogError(ex, "出错");
                        }));
                    }); //end ThreadUtil.Run
                } //end foreach (string file in fileArr)
            } //end for (int i = _fromMapZoom; i <= _toMapZoom; i++)
        }
    }
}

处理效率：我自己电脑每秒处理大约350张瓦片图，1到18级瓦片共100多万张图片，大约需要处理50分钟。

瓦片图纠偏前后对比：

还有另一种纠偏方法，通过修改leaflet源码进行纠偏：https://www.cnblogs.com/s0611163/p/13396622.html