百度地图自定义图层----BMapTileCutter(Java切图工具网络版)

最近做百度地图API相关应用,需要将自己的地图叠加到百度地图上面,查看了百度官方的API说明Javascript部分,不没有很好的解释如何覆盖接口。

在网上找了相关的文章看了下,(http://www.cnblogs.com/jz1108/archive/2011/10/08/2202239.html)这篇文章实现了这个切图的功能,但是最新的百度最高缩放等级达到19级,项目需要,无奈只能自己写个切图工具。

参考了同样作者的另一篇文章(http://www.cnblogs.com/jz1108/archive/2011/07/02/2095376.html),专门讲百度坐标系统的。

程序是用Java Web实现, struts2文件标签和简单Js调用。

实现核心代码

1.TileUtils.java

  1 package com.xiefei.core;
  2 
  3 import java.awt.Graphics2D;
  4 import java.awt.Image;
  5 import java.awt.Toolkit;
  6 import java.awt.Transparency;
  7 import java.awt.image.BufferedImage;
  8 import java.awt.image.CropImageFilter;
  9 import java.awt.image.FilteredImageSource;
 10 import java.awt.image.ImageFilter;
 11 import java.io.File;
 12 
 13 import javax.imageio.ImageIO;
 14 
 15 public class TileUtils {
 16     private int minLevel;
 17     private int maxLevel;
 18     private int picLevel;
 19     private double mercatorX;
 20     private double mercatorY;
 21     private String pic;
 22     private String savePath;
 23 
 24     public TileUtils(String pic, double mercatorX, double mercatorY,
 25             String savePath) {
 26         this.pic = pic;
 27         this.mercatorX = mercatorX;
 28         this.mercatorY = mercatorY;
 29         this.savePath = savePath;
 30     }
 31 
 32     public TileUtils(String pic, int minLevel, int maxLevel, int picLevel, double mercatorX,
 33             double mercatorY, String savePath) {
 34         this.pic = pic;
 35         this.minLevel = minLevel;
 36         this.maxLevel = maxLevel;
 37         this.mercatorX = mercatorX;
 38         this.mercatorY = mercatorY;
 39         this.savePath = savePath;
 40         this.picLevel = picLevel;
 41     }
 42 
 43     public void cutterAll() throws Exception {
 44         for (int i = minLevel; i <= maxLevel; i++) {
 45             cutterOne(i);
 46         }
 47     }
 48 
 49     public void cutterOne(int level) throws Exception {
 50         //图片中心的像素坐标(pixelX,pixelY),图片中心的平面坐标即魔卡托坐标(mercatorX, mercatorY)
 51         //像素坐标  = 平面坐标 * Math.pow(2, level - 18)
 52         double pixelX = mercatorX * Math.pow(2, level - 18);
 53         double pixelY = mercatorY * Math.pow(2, level - 18);
 54         System.out.println("pixelX : " + pixelX);
 55         System.out.println("pixelY : " + pixelY);
 56         BufferedImage bi = ImageIO.read(new File(pic));
 57         int width = bi.getWidth();
 58         int height = bi.getHeight();
 59         //图片遵循原则:当前图片所属级别picLevel不缩放即像素级别相等。
 60         //按照公式缩放:当前级别图片长度 = 原图片长度 * Math.pow(2, level - picLevel)
 61         //minX: 图片左下角X坐标
 62         //minY: 图片左下角Y坐标
 63         //maxX: 图片右上角X坐标
 64         //maxY: 图片右上角Y坐标
 65         double minX = pixelX - width * Math.pow(2, level - picLevel) / 2;
 66         double minY = pixelY - height * Math.pow(2, level - picLevel) / 2;
 67         double maxX = pixelX + width  * Math.pow(2, level - picLevel) / 2;
 68         double maxY = pixelY + height * Math.pow(2, level - picLevel)  / 2;
 69         System.out.println("(minX,minY) = (" + minX + ", " + minY + ")" );
 70         System.out.println("(maxX,maxY) = (" + maxX + ", " + maxY + ")" );
 71         int neatMinX = (int) minX / 256;
 72         int remMinX = (int) minX % 256;
 73         int neatMinY = (int) minY / 256;
 74         int remMinY = (int) minY % 256 ;
 75         
 76         int neatMaxX = (int) maxX / 256;
 77         int remMaxX = 256 - (int) maxX % 256;
 78         int neatMaxY = (int) maxY / 256;
 79         int remMaxY = 256 - (int) maxY % 256;
 80         //(neatMinX,neatMinY)为图片左下角最近的整数图块坐标,neatMinX到neatMaxX即当前级别下切割图块的图块坐标x
 81         //(neatMaxX,neatMaxY)为图片右上角最近的整数图块坐标,neatMinY到neatMaxY即当前级别下切割图块的图块坐标y
 82         System.out.println("neatMinX: " + neatMinX);
 83         System.out.println("neatMaxX: " + neatMaxX);
 84         System.out.println("neatMinY: " + neatMinY);
 85         System.out.println("neatMaxY: " + neatMaxY);
 86         System.out.println("remMinX width remMaxX : " + remMinX + " "+ width + " "+ remMaxX );
 87         System.out.println("remMinY height remMaxY : " + remMinY + " " +  height +" " + remMaxY );
 88         
 89         // 扩充原图片为width * height --- > (remMinX + width + remMaxX ) * (remMinY +
 90         // height +remMaxY)
 91         int extendWidth = (neatMaxX - neatMinX + 1 ) * 256;
 92         int extendHeight = (neatMaxY - neatMinY + 1 ) * 256;
 93         System.out.println("extendWidth: " + extendWidth);
 94         System.out.println("extendHeight: " + extendHeight);
 95         
 96         BufferedImage outputImage = null;
 97         Graphics2D g = bi.createGraphics();
 98         BufferedImage extend = g.getDeviceConfiguration().createCompatibleImage(extendWidth, extendHeight, Transparency.TRANSLUCENT);
 99         g.dispose();
100         g = extend.createGraphics();
101         g.drawImage(extend, 0, 0, extendWidth, extendHeight, null);
102         g.drawImage(bi, remMinX, remMaxY, (int) (width * Math.pow(2, level - picLevel)), (int)(height * Math.pow(2, level - picLevel)), null);
103         outputImage = extend;
104         
105         //切割图片,共( neatMaxX - neatMinX + 1) * (neatMaxY - neatMinY + 1)份 256*256图片
106         String dirName = savePath.substring(0, savePath.lastIndexOf("\\")) + "\\tiles\\" + level;
107         System.out.println("dirName : " + dirName);
108         
109         
110         File dir = new File(dirName);
111         Image image = extend.getScaledInstance(extendWidth, extendHeight, Image.SCALE_DEFAULT);
112         if(dir.exists()) {
113             System.out.println("创建目录失败!, 目录已存在!");
114         } else {
115             if(dir.mkdirs()) {
116                 ImageIO.write(extend, "png", new File(dirName + savePath.substring(savePath.lastIndexOf("\\"))));
117                 System.out.println("savePath : " + dirName + savePath.substring(savePath.lastIndexOf("\\")));
118                 System.out.println("Extend success!");
119                 int w = neatMaxX - neatMinX + 1;
120                 int h = neatMaxY - neatMinY + 1;
121                 for(int i = 0; i < w; i++) {
122                     for(int j = 1; j <= h; j++) {
123                         ImageFilter cropFilter = new CropImageFilter(256 * i, 256* (h - j), 256, 256);
124                         Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(image.getSource(),cropFilter));
125                         BufferedImage tag = new BufferedImage(256, 256 , BufferedImage.TYPE_INT_BGR);
126                         Graphics2D gs = tag.createGraphics();
127                         tag = gs.getDeviceConfiguration().createCompatibleImage(256, 256, Transparency.TRANSLUCENT);
128                         gs.dispose();
129                         gs = tag.createGraphics();
130                         gs.drawImage(img, 0, 0, null);
131                         g.dispose();
132                         String cropPicName = dirName + "\\tile" + (neatMinX + i) + "_" + (neatMinY + j - 1) + ".png"; 
133                         ImageIO.write(tag, "png", new File(cropPicName));
134                     }
135                 }
136                 System.out.println("切割图片成功!");
137             } else {
138                 System.out.println("创建目录失败!");
139             }
140         }
141     }
142 
143 }

代码的核心思想是将原图片外围拓展成256整数倍长度(最小包围),即源代码中的extendWidth * extendHeight图片长度,然后再横竖切割成多个256*256的瓦片图块。

2.index.jsp(切割图片主页)

 1 <%@ page language="java" import="java.util.*" pageEncoding="UTF-8"%>
 2 <%
 3 String path = request.getContextPath();
 4 String basePath = request.getScheme()+"://"+request.getServerName()+":"+request.getServerPort()+path+"/";
 5 %>
 6 <%@ taglib prefix="s" uri="/struts-tags" %> 
 7 <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
 8 <html>
 9   <head>
10     <base href="<%=basePath%>">
11     
12     <title>百度地图切图工具</title>
13     <meta http-equiv="pragma" content="no-cache">
14     <meta http-equiv="cache-control" content="no-cache">
15     <meta http-equiv="expires" content="0">    
16     <meta http-equiv="keywords" content="keyword1,keyword2,keyword3">
17     <meta http-equiv="description" content="This is my page">
18     <script type="text/javascript" src="http://api.map.baidu.com/api?v=1.3"></script>
19     <script type="text/javascript">
20         function getData(){
21             //var map = new BMap.Map("baiduMap");
22             var centerX = document.form1.centerX.value;
23             var centerY = document.form1.centerY.value;
24             //alert(centerX);
25             //alert(centerY);
26             var center = new BMap.Point(centerX, centerY);
27             /*获取中心点的魔卡托坐标*/
28             var projection = new BMap.MercatorProjection();
29             var mercatorPoint = projection.lngLatToPoint(center);
30             document.form1.mercatorX.value = mercatorPoint.x;
31             document.form1.mercatorY.value = mercatorPoint.y;
32             document.form1.submit();
33             //alert(mercatorPoint.x+","+mercatorPoint.y);
34         }
35         function chooseDir(){
36             var savePath;
37             var objSrc = new ActiveXObject("Shell.Application").BrowseForFolder(0,"请选择输出文件夹路径",0,"");
38             if(objSrc!=null){
39                 savePath = objSrc.Items().Item().Path;
40                 document.form1.savePath.value = savePath;
41                 //alert(savePath);
42             }
43         }
44     </script>
45   </head>
46   
47   <body>
48       <!--  
49       <div id="baiduMap" style="width:600px,height:800px"></div>
50     -->
51     
52     <form action="cutter" method="post" name="form1" id="form1" enctype="multipart/form-data">
53         请选择需要切图的图片来源<s:file name="pic" label="Picture"/><br/>
54         图片中心的经度坐标<input type="text" name="centerX" id="centerX" value="120.27628"/><br>
55         图片中心的纬度坐标<input type="text" name="centerY"/ id="centerY" value="30.27554"><br>
56         <input type="text" name="mercatorX" id="mercatorX" value="" style="display:none"/>
57         <input type="text" name="mercatorY"/ id="mercatorY" value="" style="display:none">
58         最小级别
59         <select name="minLevel">
60             <option selected>16</option>
61             <option>17</option>
62             <option>18</option>
63             <option>19</option>
64         </select><br>
65         最大级别
66         <select name="maxLevel">
67             <option>16</option>
68             <option>17</option>
69             <option>18</option>
70             <option selected>19</option>
71         </select><br>
72         图片所在级别
73         <select name="picLevel">
74             <option>16</option>
75             <option>17</option>
76             <option>18</option>
77             <option selected>19</option>
78         </select><br>
79         请选择输出目录
80         <input type="text" name="savePath"/>
81         <input type="button" name="selectDir" onClick="chooseDir()" value="浏览"/><br/>
82         <input type="button" value="提交" onClick="getData()"/>
83     </form>
84   </body>
85 </html>

3.实现截图

4.选择输出目录,是查看本地目录,用javascript调用ActiveX实现,只能在IE下运行,且需要把IE-->Internet选项-->安全中运行ActiveX控件运行才可以查看本地文件夹目录。

源码下载链接:https://files.cnblogs.com/thly1990/BaiduMapTileCutter.rar

posted @ 2012-09-27 16:59  菜鸟程序员的奋斗&  阅读(3451)  评论(2编辑  收藏  举报