Python module for hyperspectral image processing
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Updated
Mar 22, 2024 - Python
Python module for hyperspectral image processing
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
pyMCR: Multivariate Curve Resolution for Python
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Python library for reading and writing scientific data format
Open Source real-time visualization tools for Imaging Spectrometer development
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
A framework for multiframe super-resolution (enhancing the quality of an image from multiple similar low-resolution images) with support for hyperspectral imaging data.
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
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.
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
specio: Python input/output for spectroscopic files
PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)
CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.
hypers: hyperspectral data structure, data analysis and machine learning
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
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