我有一个使用谷歌静态地图的JAVA项目,经过几个小时的工作,我无法工作,我会解释一切,我希望有人能够帮助我。
我使用的是静态地图(480像素x 480像素),地图的中心是lat = 47,lon = 1.5,缩放级别为5。
现在我需要的是当我点击此静态地图上的像素时能够获得lat和lon。经过一些搜索,我发现我应该使用墨卡托投影(对吗?),我还发现每个缩放级别在水平和垂直尺寸上的精度都加倍,但我找不到合适的公式来链接像素,缩放级别和lat /经度...
我的问题只是关于从像素获取lat / lon,知道中心的坐标和像素以及缩放级别......
提前谢谢!
答案 0 :(得分:2)
使用墨卡托投影。
如果您通过[0, 256)
投射到[0,256]
的空格:
LatLng(47,=1.5) is Point(129.06666666666666, 90.04191318303863)
在缩放级别5,这些等于像素坐标:
x = 129.06666666666666 * 2^5 = 4130
y = 90.04191318303863 * 2^5 = 2881
因此,地图的左上角位于:
x = 4130 - 480/2 = 4070
y = 2881 - 480/2 = 2641
4070 / 2^5 = 127.1875
2641 / 2^5 = 82.53125
最后:
Point(127.1875, 82.53125) is LatLng(53.72271667491848, -1.142578125)
答案 1 :(得分:1)
Google-maps使用地图图块将世界有效划分为256 ^ 21像素图块的网格。基本上世界是由最低变焦的4个瓷砖组成。当你开始变焦时,你得到16个瓷砖,然后是64个瓷砖,然后是256个瓷砖。它基本上是一个四叉树。因为这样的1d结构只能展平2d,所以还需要mercantor投影或转换为WGS 84.这是一个很好的资源Convert long/lat to pixel x/y on a given picture。 Google地图中的功能可以从lat-long对转换为像素。这是一个链接,但它说瓷砖只有128x128:http://michal.guerquin.com/googlemaps.html。
答案 2 :(得分:0)
根据Chris Broadfoot上面的答案和some other code on Stack Overflow for the Mercator Projection中的数学,我得到了这个
public class MercatorProjection implements Projection {
private static final double DEFAULT_PROJECTION_WIDTH = 256;
private static final double DEFAULT_PROJECTION_HEIGHT = 256;
private double centerLatitude;
private double centerLongitude;
private int areaWidthPx;
private int areaHeightPx;
// the scale that we would need for the a projection to fit the given area into a world view (1 = global, expect it to be > 1)
private double areaScale;
private double projectionWidth;
private double projectionHeight;
private double pixelsPerLonDegree;
private double pixelsPerLonRadian;
private double projectionCenterPx;
private double projectionCenterPy;
public MercatorProjection(
double centerLatitude,
double centerLongitude,
int areaWidthPx,
int areaHeightPx,
double areaScale
) {
this.centerLatitude = centerLatitude;
this.centerLongitude = centerLongitude;
this.areaWidthPx = areaWidthPx;
this.areaHeightPx = areaHeightPx;
this.areaScale = areaScale;
// TODO stretch the projection to match to deformity at the center lat/lon?
this.projectionWidth = DEFAULT_PROJECTION_WIDTH;
this.projectionHeight = DEFAULT_PROJECTION_HEIGHT;
this.pixelsPerLonDegree = this.projectionWidth / 360;
this.pixelsPerLonRadian = this.projectionWidth / (2 * Math.PI);
Point centerPoint = projectLocation(this.centerLatitude, this.centerLongitude);
this.projectionCenterPx = centerPoint.x * this.areaScale;
this.projectionCenterPy = centerPoint.y * this.areaScale;
}
@Override
public Location getLocation(int px, int py) {
double x = this.projectionCenterPx + (px - this.areaWidthPx / 2);
double y = this.projectionCenterPy + (py - this.areaHeightPx / 2);
return projectPx(x / this.areaScale, y / this.areaScale);
}
@Override
public Point getPoint(double latitude, double longitude) {
Point point = projectLocation(latitude, longitude);
double x = (point.x * this.areaScale - this.projectionCenterPx) + this.areaWidthPx / 2;
double y = (point.y * this.areaScale - this.projectionCenterPy) + this.areaHeightPx / 2;
return new Point(x, y);
}
// from https://stackoverflow.com/questions/12507274/how-to-get-bounds-of-a-google-static-map
Location projectPx(double px, double py) {
final double longitude = (px - this.projectionWidth/2) / this.pixelsPerLonDegree;
final double latitudeRadians = (py - this.projectionHeight/2) / -this.pixelsPerLonRadian;
final double latitude = rad2deg(2 * Math.atan(Math.exp(latitudeRadians)) - Math.PI / 2);
return new Location() {
@Override
public double getLatitude() {
return latitude;
}
@Override
public double getLongitude() {
return longitude;
}
};
}
Point projectLocation(double latitude, double longitude) {
double px = this.projectionWidth / 2 + longitude * this.pixelsPerLonDegree;
double siny = Math.sin(deg2rad(latitude));
double py = this.projectionHeight / 2 + 0.5 * Math.log((1 + siny) / (1 - siny) ) * -this.pixelsPerLonRadian;
Point result = new org.opencv.core.Point(px, py);
return result;
}
private double rad2deg(double rad) {
return (rad * 180) / Math.PI;
}
private double deg2rad(double deg) {
return (deg * Math.PI) / 180;
}
}
这是原始答案的单元测试
public class MercatorProjectionTest {
@Test
public void testExample() {
// tests against values in https://stackoverflow.com/questions/10442066/getting-lon-lat-from-pixel-coords-in-google-static-map
double centerLatitude = 47;
double centerLongitude = 1.5;
int areaWidth = 480;
int areaHeight = 480;
// google (static) maps zoom level
int zoom = 5;
MercatorProjection projection = new MercatorProjection(
centerLatitude,
centerLongitude,
areaWidth,
areaHeight,
Math.pow(2, zoom)
);
Point centerPoint = projection.projectLocation(centerLatitude, centerLongitude);
Assert.assertEquals(129.06666666666666, centerPoint.x, 0.001);
Assert.assertEquals(90.04191318303863, centerPoint.y, 0.001);
Location topLeftByProjection = projection.projectPx(127.1875, 82.53125);
Assert.assertEquals(53.72271667491848, topLeftByProjection.getLatitude(), 0.001);
Assert.assertEquals(-1.142578125, topLeftByProjection.getLongitude(), 0.001);
// NOTE sample has some pretty serious rounding errors
Location topLeftByPixel = projection.getLocation(0, 0);
Assert.assertEquals(53.72271667491848, topLeftByPixel.getLatitude(), 0.05);
// the math for this is wrong in the sample (see comments)
Assert.assertEquals(-9, topLeftByPixel.getLongitude(), 0.05);
Point reverseTopLeftBase = projection.projectLocation(topLeftByPixel.getLatitude(), topLeftByPixel.getLongitude());
Assert.assertEquals(121.5625, reverseTopLeftBase.x, 0.1);
Assert.assertEquals(82.53125, reverseTopLeftBase.y, 0.1);
Point reverseTopLeft = projection.getPoint(topLeftByPixel.getLatitude(), topLeftByPixel.getLongitude());
Assert.assertEquals(0, reverseTopLeft.x, 0.001);
Assert.assertEquals(0, reverseTopLeft.y, 0.001);
Location bottomRightLocation = projection.getLocation(areaWidth, areaHeight);
Point bottomRight = projection.getPoint(bottomRightLocation.getLatitude(), bottomRightLocation.getLongitude());
Assert.assertEquals(areaWidth, bottomRight.x, 0.001);
Assert.assertEquals(areaHeight, bottomRight.y, 0.001);
}
}
如果您(比如说)使用航空摄影,我觉得该算法没有考虑到墨卡托投影的拉伸效果,因此如果您感兴趣的区域不是相对接近,它可能会失去准确性赤道。我猜您可以通过将x坐标乘以中心的cos(纬度)来近似它吗?
答案 3 :(得分:0)
似乎值得一提的是,您实际上可以使用google maps API为您提供纬度和频率。像素坐标的纵坐标。
虽然在V3中有点令人费解但这里有一个如何做到这一点的例子。
(注意:假设您已经有一个地图并且像素顶点要转换为lat& lng坐标):
let overlay = new google.maps.OverlayView();
overlay.draw = function() {};
overlay.onAdd = function() {};
overlay.onRemove = function() {};
overlay.setMap(map);
let latlngObj = overlay.fromContainerPixelToLatLng(new google.maps.Point(pixelVertex.x, pixelVertex.y);
overlay.setMap(null); //removes the overlay
希望能有所帮助。
更新:我意识到我做了两种方式,两种方式仍然使用相同的方式创建叠加层(所以我不会复制该代码)。
let point = new google.maps.Point(628.4160703464878, 244.02779437950872);
console.log(point);
let overlayProj = overlay.getProjection();
console.log(overlayProj);
let latLngVar = overlayProj.fromContainerPixelToLatLng(point);
console.log('the latitude is: '+latLngVar.lat()+' the longitude is: '+latLngVar.lng());