(地图瓦片纠偏最好的方法在这：https://www.cnblogs.com/s0611163/p/15606460.html)
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\GISMap\1818940751"/>
<add key="outputPath" value="D:\_临时文件\GISMapOutput\1818940751"/>
<add key="deltaPixcelX" value="1031"/>
<add key="deltaPixcelY" value="421"/>
<add key="fromMapZoom" value="1"/>
<add key="toMapZoom" value="18"/>
</appSettings> View Code
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 + "\r\n" + 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