Closed BlcaKHat closed 6 years ago
@BlcaKHat We will look into this. Just to verify, you have built pycoal, correct?
python setup.py install
I installed it via pip. do i still need to build ?
@BlcaKHat Yes you do, let me know how pycoal behaves after you have built
still got this error in
mining_classification.classify_image(mineral_filename, mining_filename)
I have aviris data of Ahamdabad , india and i have 9 classes . like ubran, water .. etc help me out.
@BlcaKHat It looks like you don't have spectral installed. Try
sudo pip install spectral
Here are all the dependencies for pycoal https://capstone-coal.github.io/docs#dependencies
gdal will take a bit longer to install than the others but you won't need it until you try to generate an environmental classified file
@BlcaKHat just do he following https://github.com/capstone-coal/pycoal#source
@BlcaKHat please provide a link to the Ahamdabad imagery you are attempting to classify. Thanks
The data i am using is not Free or sharable in my country. I am working under ( Indian institute of Remote sensing ). I am not allowed to take the data. I will try to give you the details of data tommorow.
I have installed spectral and I was working with spectral to work with hyperspectral data
@BlcaKHat
The data i am using is not Free or sharable in my country. I am working under ( Indian institute of Remote sensing ). I am not allowed to take the data. I will try to give you the details of data tommorow.
Got it, right now pycoal only aims to work with AVIRIS-C and AVIRIS-NG data.
By the way, AVIRIS-NG had flown many campaigns in India, you can see them here https://avirisng.jpl.nasa.gov/alt_locator/
this is the image..
you try to get data if possible
@BlcaKHat please see the following information
NOTE: If you encounter difficulty accessing any data, please contact Sarah Lundeen <sarah.r.lundeen@jpl.nasa.gov> and we will make the data available for you.
@lewismc thank you so much.
I was running the example with one hyperspectral image having 20 bands. i got this error. But It generates 2 images. but they are not RGB or classified.