如何将平面图像投影到球形墨卡托EPGS:900013以在openlayers的图像层中使用 [英] how to project a flat image to spherical mercator EPGS:900013 to use in a Image Layer in openlayers
问题描述
我有一个400x400像素的平面图像,代表400x400公里的区域.我需要将此图像绘制为OpenLayers映射系统上的覆盖图.我将OpenStreetMap/Google地图用作基础图层.我想使用图像层"绘制覆盖图像,并希望将覆盖图像居中于特定的纬度/经度点.基本层的投影是EPSG:900913,实际上是OpenStreetMap和Google Maps使用的投影.
I have a flat 400x400 pixels image which represents an area of 400x400 kilometers. I need to draw this image as an overlay on my OpenLayers mapping system. I use OpenStreetMap/Google Maps as base layers. I want to draw the overlay image using an Image Layer and I want to center my overlay image at a specific lat/lon point. The projection of the base layer is EPSG:900913 which is, in fact, the projection used by OpenStreetMap and Google Maps.
我所了解的(如果我错了,请纠正我)是我不能使用平坦的未投影"图像作为图像层,但是我必须进行某种重新投影"调整符合地图投影的图像,即EPSG:900913.在这里和网上搜索,似乎我应该使用一个名为GDAL的库/工具来执行此操作,但是我对此完全陌生,请问您:
What I have understood (please correct me if I'm wrong), is that I can't use a flat, 'unprojected' image as an Image Layer, but I have to do a sort of 'reprojecting' to adjust the image to be compliant with the projection of the map, which is EPSG:900913. Searching here and the net, it seems I should use a library/tool called GDAL to do this, but whereas I am completely new to this I ask you:
- 有人可以向我介绍如何使用它吗?
- 您能告诉我我刚才说的话是否正确,我在这里描述的方式是否有效?
- 如何使用gdal将未投影的平面400x400像素图像转换为以EPSG:900913投影的图像,并适合作为图像层作为叠加层放置?
谢谢.
我按要求添加了图片.
@capdragon提供的答案很有用,让我更进一步.无论如何,我仍然有一些问题.我是这样做的:
The answer provided by @capdragon was useful and let me going one step further. Anyway I have still some problems. I did this:
- 使用gdal_translate将GCP设置为图像的四个角和中心,如下所示:
gdal_translate -of "GTIFF" -gcp 0 0 8.6923 45.5427 -gcp 400 0 13.8149 45.5427 -gcp 200 200 11.2536 43.771702 -gcp 0 400 8.8413 41.9460 -gcp 400 400 13.6659 41.9460 quadrprod.png quadrprod_gpc.tif
这样,我得到了quadrprod_gcp.tif输出.然后.
This way I get a quadrprod_gcp.tif output. Then.
- 使用gdalwarp应用上面的点中设置的GCP并设置正确的投影,即EPSG:4326,如下所示:
gdalwarp -t_srs EPSG:4326 quadrprod_gcp.tif quadrprod_gcp_warped.tif
这样,我得到了最终的quadrprod_gcp_warped.tif.生成的图像不再是400x400像素,而是458x331像素.然后,如果我使用gdalinfo进行查看,就会发现:
This way I get a final quadrprod_gcp_warped.tif. The resulting image is no more 400x400 pixels but is 458x331 pixels. Then if I use gdalinfo to look at it, I found this:
gdalinfo quadrprod_gcp_warped.tif
Driver: GTiff/GeoTIFF
Files: quadrprod_gcp_warped.tif
Size is 458, 331
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (8.768046497499189,45.547291862003739)
Pixel Size = (0.010877474938832,-0.010877474938832)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 8.7680465, 45.5472919) ( 8d46'4.97"E, 45d32'50.25"N)
Lower Left ( 8.7680465, 41.9468477) ( 8d46'4.97"E, 41d56'48.65"N)
Upper Right ( 13.7499300, 45.5472919) ( 13d44'59.75"E, 45d32'50.25"N)
Lower Right ( 13.7499300, 41.9468477) ( 13d44'59.75"E, 41d56'48.65"N)
Center ( 11.2589883, 43.7470698) ( 11d15'32.36"E, 43d44'49.45"N)
Band 1 Block=458x4 Type=Byte, ColorInterp=Red
Mask Flags: PER_DATASET ALPHA
Band 2 Block=458x4 Type=Byte, ColorInterp=Green
Mask Flags: PER_DATASET ALPHA
Band 3 Block=458x4 Type=Byte, ColorInterp=Blue
Mask Flags: PER_DATASET ALPHA
Band 4 Block=458x4 Type=Byte, ColorInterp=Alpha
如您所见,四个角和中心纬度/经度与我使用-gcp值设置的值不同.我的问题:
As you can see the 4 corners and the center lat/lon are different from the values I set using -gcp values. My questions:
- 为什么gdalinfo返回的经纬度值与我在步骤1中使用-gpc设置的值不同?
- 这是正常现象还是我做错了什么?
- 下一步是什么?我应该再次将图像从EPSG:4326转换为EPSG:900913吗?
- 当我将图像作为叠加层放置在openlayers中时,当创建bounds对象时,应该将在-gcp中使用的值还是在gdalinfo中看到的最终值用作西南角和东北角?
推荐答案
您所说的是正确的.
您基本上想使用gdal_translate
设置一些控制点(参考点),然后使用gdalwarp
扭曲图像.
You basically want to set some control points (reference points) using gdal_translate
then warp the image using gdalwarp
.
因此,对于粗略的投影,您可以像这样简单地使用角坐标来设置4个控制点. (这些示例使用的是EPSG:4326,但是您可以使用EPSG:900913.
So for a rough projection you could simply use the corner cordinates to set 4 control points like so. (These examples are using EPSG:4326, but you can use EPSG:900913.
gdal_translate -a_srs EPSG:4326 -gcp 0 0 -89.38939600 30.39282800 -gcp 1024 0 -87.00029400 30.01043900 -gcp 0 1250 -89.99424800 27.37030800 -gcp 1024 1250 -87.67748400 26.98606100 "originalImage.tif" "image_trans.tiff"
上面说像素x = 0和y = 0等于"-89.38939600 30.39282800"像素x = 1024且y = 0是-87.00029400 30.01043900,依此类推.
The above is saying that pixel x=0 and y=0 is equal to "-89.38939600 30.39282800" pixel x=1024 and y=0 is -87.00029400 30.01043900 and so forth.
gdalwarp -dstalpha -t_srs EPSG:4326 image_trans.tiff image_warped.tiff
如果变形效果不佳,则需要在图像上设置更多的控制点.
If the warping isn't good enough you're going to need to set more control points on the image.
我下载了您的图片并运行了您拥有的命令.一切对我来说都很好: |
I downloaded your image and ran the commands you have. Everything worked fine for me: |
captDragon@liberatecuba:/media/Data/tmp/orthoTesting$ gdal_translate -of "GTIFF" -gcp 0 0 8.6923 45.5427 -gcp 400 0 13.8149 45.5427 -gcp 200 200 11.2536 43.771702 -gcp 0 400 8.8413 41.9460 -gcp 400 400 13.6659 41.9460 quadrprod.png quadrprod_gpc.tif
Input file size is 400, 400
0...10...20...30...40...50...60...70...80...90...100 - done.
captDragon@liberatecuba:/media/Data/tmp/orthoTesting$ gdalinfo quadrprod_gpc.tif
Driver: GTiff/GeoTIFF
Files: quadrprod_gpc.tif
Size is 400, 400
Coordinate System is `'
GCP Projection =
GCP[ 0]: Id=1, Info=
(0,0) -> (8.6923,45.5427,0)
GCP[ 1]: Id=2, Info=
(400,0) -> (13.8149,45.5427,0)
GCP[ 2]: Id=3, Info=
(200,200) -> (11.2536,43.771702,0)
GCP[ 3]: Id=4, Info=
(0,400) -> (8.8413,41.946,0)
GCP[ 4]: Id=5, Info=
(400,400) -> (13.6659,41.946,0)
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 0.0, 0.0)
Lower Left ( 0.0, 400.0)
Upper Right ( 400.0, 0.0)
Lower Right ( 400.0, 400.0)
Center ( 200.0, 200.0)
Band 1 Block=400x5 Type=Byte, ColorInterp=Red
Mask Flags: PER_DATASET ALPHA
Band 2 Block=400x5 Type=Byte, ColorInterp=Green
Mask Flags: PER_DATASET ALPHA
Band 3 Block=400x5 Type=Byte, ColorInterp=Blue
Mask Flags: PER_DATASET ALPHA
Band 4 Block=400x5 Type=Byte, ColorInterp=Alpha
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