My purpose is to process optical as well as sar for standard operations like projection, decomposition etc and mainly implement few of my algorithms.
I have some preliminary knowledge of Java and am totally new for Python. Some site suggest that Python has better references and Java is hard to implement in many cases. Some suggest using Java binding. I am a bit confused.
Which binding do you prefer for me?
I am a windows user.
I have almost no experience of Java so my opinion is based only on my knowledge of Python and GDAL but I would say that Python is the way to go. Python will also give you access to Numpy libraries for non-geospatial analysis. There is a great deal of support for Python and it is a language that is used for scripting in many systems such as ArcGIS and QGIS.
Python is also installed as standard on Windows, Linux and OSX but you may do well to check out "Anaconda". This is a handy installer etc. that gives you a standalone Python installation with lots of scientific libraries included. It even has the bindings to GDAL.
Hi Bhoj,
I vote Python as well, though I don't know anything about GDAL Java bindings. I'm not entirely won over by the Python bindings either, though. What I typically do is call the GDAL tool I want from the command line; I do that from within a Python script using the subprocess.call function (see https://docs.python.org/2/library/subprocess.html). A little example of doing it this way is in the screen capture.
Note: the question is tagged JavaScript, but that's a totally different language :)
Cheers,
P
In terms of computational performance, go for java with GDAL however for easiness, better documentation and support from community, I advise python with GDAL.
- Badges
- Science topic
- Similar topics
- Computer Science and Engineering
- Programming Languages
- Python