image analysisimage segmentationopen-source-gissoftware-recommendations
For an analysis of several multilayer raster files I want to perform some kind of image segmentation (multi-resolution, …) to extract polygon object of similar raster properties. I know that Trimble's eCognition is quite useful fot this kind of tasks. However I am trying to find a script based solution, since there are multiple (some 20s) of rasters the image segmentation schould be performed on.
I personally prefer the script languages R or Python.
You could try Flowmap. It is specially designed to analyse flow patterns.
You can find it here: http://flowmap.geog.uu.nl/
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Try routeXL I'm not sure how many nodes you can max out on though. Here's an example of a 12 city output
Address drop down to change/modify the addresses you just addedfind route for it to compute itHEre's a screenshot of a run I did:
[Disclaimer - I am the author of the UI part of this software]
ODL Studio is an open source desktop application for planning vehicle routes - so it will solve your problem. It's free and we have people using it in many different countries throughout the world. Download from here http://www.opendoorlogistics.com/ or watch the tutorial video here https://www.youtube.com/watch?v=0DJdubVWX_A
It takes an Excel as input data which will help you. You can play around with the cost-per-km and cost-per-hour to have it automatically optimise for most efficient by time or mileage (given the size of your problem it will probably find the most optimal solution as well).
There is the personal route-planning software portatour which supports multiple stops and Excel upload.
Here is a screenshot of a generated Route on an iPad:
Disclaimer: I work for portatour.
Check out Optimo Route - there is a free trial you can use. Import multiple addresses from MS Excel and easily plan optimal routes. You can also set things like service time (time you will spend at the location) and time windows (specific times you need to be at the location).
Routes can be exported to a GPS device (Garmin, Navigon, TomTom) or MS Excel.
Disclaimer: I work for Optimo Route.
Also take a look at Speedy Route - another optimal route planner website. You can bulk upload addresses, and then either print out the optimal route, or export the results to Excel via CSV.
Finding the most efficient route from a list of addresses sounds a lot like the Traveling Salesman Problem, one of the most studied problems in computer science. It's one thing to calculate a straight line distance but adding street routes makes this highly unlikely that you'll find an optimal distance.
I might have answered part of your problem on another page. This may not be useful but I'll include it anyway.
Best Answer
For Python, there are very few option for free source RS based image segmentation. I'll suggest two,
If it's not remote sensing I'll suggest OpenCV.