I have a few pairs of stereo air photos and I want to extract a DEM from them.  I think that is possible using PCI (OrthoEngine), but I would like to do it using Open Source (or at least free) software.  I've looking in GRASS GIS and Orfeo Toolbox but I didn't find how to do it?  (It is possible that I have not looked correctly...).  Is it possible?
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Does ArcGIS Desktop or any of its native extensions allow me to create DEMs from stereo pairs (acquired by satellite, )?  If the answer is a clear no, brownie points will go to an answer that proposes a viable alternative using OpenSource.
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My question is, how would I make the visible HDRI/Enviroment Map be image 1 and then have reflections as Image 2? If someone can post a node setup, or a .py file that would be great &lt;3 I was thinking maybe using the Is Camera Ray node but I'm not confident it would work, and have no idea where to start.
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I have created a DEM, DSM, and nDSM from a LiDAR Point Cloud using SAGA-GIS.  I extracted the appropriate returns from the point cloud, then converted to grid, and then closed gaps to fill in any nodata regions.  I'm finding that my resultant rasters are still pretty noisy. For example, a region of pixels in the DSM that is obviously a tree or cluster of trees has several pixels with a very similar value to ground instead of the surrounding higher value pixels.  I've tried doing a majority filter on the DSM, but it didn't help.  Any suggestions for other filters that might help create more contiguous regions of pixels?
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I am looking for a method to process a remote sensing image and extract the crown areas of the individual trees from the image.   I have both visual wavelength areal imagery, and lidar data from the area. The location in question is a desert area, so the tree cover isn't as dense as a forest area. The resolution of the aerial imagery is 0.5 feet by 0.5 feet. The lidar resolution is approximately 1 x 1 feet. Both the visual data and the lidar come from a Pima County, Arizona dataset. A sample of the type of aerial imagery I have is at the end of this post.   This question  seems to be the same issue, but there does not seem to be a good answer there.  I can obtain a reasonable classification of the vegetation types (and information about the overall percent cover) in the area by using the Iso Cluster classification in Arcmap, but this provides little information on individual trees. The closest I have to what I want is the results of passing the output of the isocluster classification through the Raster to Polygon feature in Arcmap. The problem is that this method merges near by trees into a single polygon.   Edit: I probably should have included some more detail about what I have. The raw datasets I have are:    Full las data, and a tiff raster generated from it. Visual imagery (like the sample image shown, but covering a much wider area)  Manual direct measurements of a subset of the trees in the area.    From these I have generated:    The ground/vegetation classifications. The DEM/DSM rasters.
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I am working on a project that includes images-as-planes.  I would like to copy the whole project to another computer.  How can I move the Blender file and also relocate the image-as-planes source PNGs without the Blender animation file losing track of where to find the PNGs?  Thank you!
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I am looking to use this feature for two purposes: scanning books (one camera pointed at each of a pair of pages), and for stereo 3D photography.  I would like to be able to preview and capture photos from two cameras simultaneously, and download them to my Mac (recent laptop, Mac OS X 10.8.x). Being able to keep track of which photos were from which camera is also a must.  I see a couple of packages that will do this via USB tethering on Windows, namely  (which other than being on Windows, looks perfect for my needs) and . I certainly could run Windows on my Mac somehow, but I'd rather avoid that, if possible.  I haven't bought the cameras yet, and I do not have any requirements as to which cameras are supported (it seems the packages above only support Canons), other than that they be relatively inexpensive. This is a hobby-type project, not a $3000 dSLR-type project.  However, even if all you have is a dSLR solution for this problem, I'd still like to hear about it. Perhaps it will lead to related solution.  Inventive hacky solutions welcome!
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I need to create an image like this, but I do not know what software or technique to use. I tried to use the Mesh Tool in Illustrator, but the result is odd, also I tried to blur an image in Photoshop, but I need to use some particular colors.
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I am a relative beginner to using GIS, and am running QGIS 2.0.1 in Linux. I have two historical maps which I want to analyze, that show land use patterns in the same area at two different moments in time. I have them scanned and geo-referenced as layers in one file. Side by side, they look like this:     The main thing I am interested in is to compare the extent of the light and dark green areas between the two maps. Is this possible, and if so, what is the simplest approach? Is there a way to do this based on raster analysis? And if I have to make a shapefile, what is the best way to do that?  What I have already considered:   Drawing shapefiles as polygons by hand, as described in . That would be VERY tedious. Creating simplified, high contrast raster images by using color selection, filters etc. by trial and error in the Gimp and converting that to a shapefile. The results were very sloppy.
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I've created a series of DEM files using the  tool from LAStools; however since I don't have a licensed version they have black streaks running across them. Does anyone know a good method for removing these streaks?
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I need to create a "fake" 3D effect for some raster image, like this one below:    do you know how I can achieve this in Photoshop (CS5) or Illustrator? Thanks.
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I have a large set of aerial images (thermography) some of them are very tilted due to the airplane turning. I want to merge all the images into a unique orthorectified image. I have not the GPS information but I know the place where the termography was taken. Which is the best way to proceed? Is there any free software available?  I have been trying Microsof ICE but the results are very distorted.
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Folks,  I've been looking all over for a plugin or brush that will help me take a photo and reduce it to that 'electric look' (or fractal?) that i'm seeing in various places. I'd vastly prefer one for Gimp.  Does anyone know how these are being done? I'm seening references to fractalius for photoshop, but what about gimp?  Examples:
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What is the simplest way to access the data in a raw file before demosaicing and write it to a more widely supported file format (e.g. 16 bit TIFF)?  I'm looking to obtain a single channel image where each pixel corresponds to a single pixel on the sensor (regardless of what colour filter it had in front).  The not so simple way would be digging into some open source RAW processing libraries and using code from there.  Is there a simpler way (e.g. a command line tool)?
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I used a  for Photoshop, and was able to create some boxes with it. These boxes were shaped in the form of Software Boxes, while I require Customized Dimensions Boxes, which currently I'm trying to create with .   This software creates a box with no Reflection, and I disabled shadows in it, cause it doesn't allow transparency while saving to png. It allows custom dimensions, rotation, etc settings, but doesn't save transparency or reflections.  Here's the difference in output from both the above mentioned apps.. I'm trying to get the reflection + shadow in the 3D box Generator to the Protomissume generated image.   My question: How can I create similar Reflection &amp; Shadow in Photoshop?   Images:  3D Box Generator   Protomissume Box Shot   Thanks for any help.  Here are the Box Shot images (Photoshop, Protomissume) :  [  ]
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Is there a way, maybe a script, that would help me cut an image into say 50 images?  I have a massive panorama I would like to print on normal stock photo paper and I am using Photoshop.    The output of this operation needs to be images, not PDFs, not printer. There is still work to be done with each of these cut-outs later.  How can I slice a large image into many smaller images with an automated, or relatively fast method?
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Could someone recommend a free and/or open source GIS application that can orthorectify map images?
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Can you recommand me a software for doing this job? I shoot using Sigma 8mm lens and I would like to be able to obtain a normal image out of that. The camera is canon 550D.