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8

GDAL supports .img format, both the basic Imagine and the extended Imagine (greater than 2GB), thus any software that utilizes GDAL drivers would support ERDAS Imagine. The most workable and well documented that I have seen is QGIS. It is also open source and therefore free.


5

Posterizing was a great start: it eliminated most of the compression artifacts and simplified the cartography enough to enable additional cleaning. Much of the cleaning of a categorical raster involves so-called "morphological" operations. These include expanding one category into its neighbors, shrinking it back again, and region grouping contiguous ...


4

If you want to show your geometries as vectors instead of images there are a couple of tricks that you can apply to reduce the load of your page: Use TopoJSON instead of GeoJSON Remove all the attributes that you are not going to use in the applicaation and also the whitspaces. Taking into account your visualization scale, simplify your geometries and ...


3

Try File -> Import -> Desktop Publishing Formats -> JPGIDRIS. You can then mosaic the individual imported jpegs now in Idrisi format.


2

Getting an approximate raster layer in Gimp and converting it to vector in QGIS probably saved me some time, but it looks like there is no way to avoid hours of cleaning up the resulting shapefiles, vertex by vertex.


2

You can also try the GIS icon library by Robert Szczepanek: http://robert.szczepanek.pl/icons.php


2

The good people at Boundless have built on top of the well known Silk icon set to make a set of GIS specific icons called GeoSilk. You can download them from the SVN repository.


2

http://wiki.openstreetmap.org/wiki/Bigmap is the most used approach for your task. Another tool is taho.exe (if you are on Windows). You can learn more about it from here: http://www.dimitri-junker.de/eng/html/openstreetmap.html You can switch the language to English under Bearbeiten -> Optionen. An English help manual is included in the Docu folder. ...


2

In answer to your first question I found confirmation of the default compression quality (number) on the help page entitled Compression (Environment setting) where it says (with my bolding): If JPEG, JPEG_YCbCr, or JPEG 2000 is selected, you can also set the compression quality to control how much loss the image will be subjected to by the ...


2

According to a powerpoint announcement of ENVI 5.0, Katalog should be available via the Exelis Code library. Unfortunately, the code library is offline at the time of writing due to some legal issues. Other authors have already moved their stuff to github (e.g. the ENVI Plugins by Devin White). I could not find the KATALOG software either, but I suppose you ...


2

Try converting your file to another/the same format (Raster/conversion/translate(convert format).There you can define a value for "no data", which you can set to a number different than 0. Hope it helps


2

I believe you need a minimum of 3 points to translate, scale, and rotate. The procedure and open source code for doing this is explained here: http://docs.opencv.org/doc/tutorials/imgproc/imgtrans/warp_affine/warp_affine.html I'm assuming your images are not georeferenced, so it should not matter what your map projection is since the user only has to ...


2

From the esri help pages... When you are in the edit report layout page. Select picture under element on the left hand side and add it to whatever location you want on your report. When you click on the box, on the right hand side there is a place to add your source which you have 3 choices: Source 1: choose a field You can choose any Raster or ...


1

I just spoke with a NAIP representative that sent me the following info sheet for NAIP sensors - apparently the range is 675 - 940 um, but depends on the sensor that collected the image. Here is the info sheet I received.


1

Instead of trying to import your shapefile into another remote sensing program, I would rather suggest that you export the attributes of your object as csv (there is a csv export in eCognition), then you can run the classification from data analysis softwares (Matlab, R, Numpy...). Then you can join the table to your shapefile in a GIS. Or you can continue ...


1

Look here for Aster info. VNIR_Band1 = 0.52-0.60 (green) VNIR_Band2 = 0.63-0.69 (red) VNIR_Band3N = 0.76-0.86 (NIR) Rapid eye comes in GeoTiff format comprised of 5 bands (listed here). The images that you have are probably composites. RGB is Red, Green, Blue that represent RGB, NIRREG (possibly NIR and near edge), and color infrared (CIR). In CIR, NIR ...


1

In order to know the wavelengths or colors that bands in a raster represent, you typically need to know what instrument they were created with. Some software can make automatic assignments based on the file format, but the labels might not always be clear. I recall doing some work in ENVI where it would give you the wavelengths but not the band numbers. I ...


1

For your Aster Image, 1 is green, 2 is red and 3 is near infra-red For RapidEye, 1 is blue, 2 is green, 3 is red, 4 is red edge and 5 is near infra-red. So your second image is Near Infra-Red/RedEdge/Green Usually, with 3 bands the image is either RGB or NIR/R/G. When I don't have a clue, I try 321 and 123 composites. With RGB one of the combination ...


1

If you grab lat/lon coordinates from GE, you have to set the target CRS in the Georeferencer settings to EPSG:4326. If you take coordinates from the QGIS map canvas using the Openlayers plugin, the units are (Google) meters, and the target has to be EPSG:3857. You can not mix both methods.


1

I find the simplest way that it can be done is from a georeferenced image by origin and cell size, if you can determine the Cell (row,column) on the image: X = origin X + (Column * Cell Width) Y = origin Y + (Row * Cell height) Usually.. the world file for a png (pgw) will give the top left cell and cell size in a 6 parameter transformation, be aware the ...


1

Check out this ESRI link using attachments It states "since attachments are stored inside the geodatabase, I can share a geodatabase or make a layer or map package and all the attached files are included with the data automatically."


1

Your problem is a less responsive browser when displaying the very large set of vector data, which presumably is the result of trying to render each/every node of your data set. This is exactly the issue WMS and TMS are used to solve - however, since you are looking for an alternative solution, try Google encoding your polylines which simplifies the geometry ...


1

It sounds like you are referencing an Image Service. To utilize an Image Service from within the Javascript API, you would need to follow through with the publishing rules, and create the service on your ArcServer installation. This would only work if you have the png already georeferenced in an mxd file (overlaying the png at specific GPS coordinates). ...


1

Are you looking to georeference the image? This allows you to add the image to your existing layers, and by using control points overlay the image to the corresponding location. So you could use road intersections or known structures as georeferenced points. If accuracy isn't important could you not just export your existing map and plop into into GIMP or ...


1

Ok, maybe this will work, maybe it wont. depending on the quality of the scan. you can set the transparency of a particular colour to a percent or you can use the value tool to isolate the colour you want. I am not going to take the credit for this as i asked a question before...mine was actually wanting to select houses of open street view mapping. So ...


1

Raster was loaded properly in Postgis with overviews but qgis plugin "Add a Postgis Raster layer" can't handle this file due to the size (10GB). However, I was successful in adding a subset of that raster whose size was comparatively very small. QGIS displays that raster correctly. I have tried raster having maximum 3GB size. If anyone has succeeded with ...


1

The openlayers plugin is not handled like a raster layer in QGIS, so that kind of raster clipping won't work. You can make a screen copy of the openlayers plugin layer with Save as Image ..., and load that as a raster layer.


1

Did you consider using GDAL? Extensive information, Documentation and examples are available on the Geographical Data Abstraction Library. You can get step-by-step help to compile the GDAL.jar library as described here gdal.ReprojectImage(src_ds, dst_ds) from from GDAL Class seems to be what you are looking for though I have never used it yet.


1

You can edit pixel values using gdal_calc.py creating a new dataset and maintaining all the original metadata. For instance, see this useful example: How to conditionnally assign a new value to pixels of a raster image? Alternatively you can write your own Python scripts to do more complex calculations.


1

Try setting the output image quality, calling the following subroutine. The iResampleRatio is an value between 1 and 5, with 1 being the highest quality. These correspond with the settings on the export dialog's "output image quality" for vector exports. For image exports, you should always set output image quality to 1 (best). Private Sub ...



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