The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
To easily install pyMCR into non-ascii environment (e.g. Windows 10 in Japanese), it would be nice to replace the non-breaking hyphen (U+2011) in line 168 of README.rst into more common hyphen-minus (U+002D) to avoid UnicodeDecordError.
On Demo.ipynb, I guess several mcrals._c_mrd should be mcrals._c_mrd[-1] .
Anyway, this code is what I look for. Thank you so much to share your code!
A framework for multiframe super-resolution (enhancing the quality of an image from multiple similar low-resolution images) with support for hyperspectral imaging data.
This is an embarrassing one, but yes, the source is criminally under-documented. Additionally, this would be a great time to add in a flow chart or cartoon illustrating the way the different components of LiveView work together. I am a visual person, and I find it helps to use drawings to visually the many parallel components of the software.
S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.
The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
To easily install pyMCR into non-ascii environment (e.g. Windows 10 in Japanese), it would be nice to replace the non-breaking hyphen (U+2011) in line 168 of README.rst into more common hyphen-minus (U+002D) to avoid UnicodeDecordError.
On Demo.ipynb, I guess several mcrals._c_mrd should be mcrals._c_mrd[-1] .
Anyway, this code is what I look for. Thank you so much to share your code!