A Hyperspectral Linear Mixture anlysis code for python.
Project description
hypmix
Hyperspectral Unmixing Library for Python
Installation
pip install hypmix
Usage
import hypmix
em_list = []
for data, wvl in zip(spectrum_list, wvl_list):
spec=hypmix.Spectrum(data, wvl)
em_list.append(hypmix.EndMember("endmember1", spec))
model = hypmix.MixtureModel(em_list, data_cube)
model.add_virtual_shade()
res = model.run("save/path/results.hdf5", "model_name")
hypmix.save_model_result(res)
MixView GUI
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hypmix-0.2.2.tar.gz
(330.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
hypmix-0.2.2-py3-none-any.whl
(333.8 kB
view details)
File details
Details for the file hypmix-0.2.2.tar.gz.
File metadata
- Download URL: hypmix-0.2.2.tar.gz
- Upload date:
- Size: 330.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e87acb9ae8fc40efea517ef2c3c60f75e47b5a94df40867bb8dbe6e85d90843b
|
|
| MD5 |
e9e565dee0f288bfad333dadfb761b13
|
|
| BLAKE2b-256 |
fa67d424834d778f3d5896308f5554f35fcc5db24abc19954ad9d7e1dd4f857e
|
File details
Details for the file hypmix-0.2.2-py3-none-any.whl.
File metadata
- Download URL: hypmix-0.2.2-py3-none-any.whl
- Upload date:
- Size: 333.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
240c9863056bdfc1c01747672e7a2a1599d98ca7727a4e69159f552fcaa4f68c
|
|
| MD5 |
cea219b69331ff7f1e5f4167f8110eaf
|
|
| BLAKE2b-256 |
5efbd0e9efd27cd44e0b7f31e88eb7fd260b090dcf7e0e06fe3c7153f54dff9e
|
