I want to derive NDVI based threshold to classify image segments, for which it requires K-Means clustering of those image objects. Which software would be preferable to do K-Means Clustering of the image objects? The feature value of image objects would be NDVI.
I used R. It is very good in that!
Please, take a look: https://www.r-exercises.com/2018/02/28/advanced-techniques-with-raster-data-part-1-unsupervised-classification/
ENVI, if you are not from any programming bacckground. Otherwise Matlab or PYthon.
K-means clustering.
Using Python:
http://benalexkeen.com/k-means-clustering-in-python/
https://www.kaggle.com/andyxie/k-means-clustering-implementation-in-python
https://jakevdp.github.io/PythonDataScienceHandbook/05.11-k-means.html
Using Matlab:
https://in.mathworks.com/help/images/ref/imsegkmeans.html
https://in.mathworks.com/matlabcentral/fileexchange/8379-kmeans-image-segmentation
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