band-selection

There are 2 repositories under band-selection topic.

daniel-rychlewski / hsi-toolbox
Hyperspectral CNN compression and band selection
neural-network python band-selection hyperspectral-image-classification hyperspectral-imaging convolutional-neural-networks autoencoder deep-learning pruning quantization pytorch recurrent-neural-networks svm neural-network-compression feature-extraction feature-selection hsi-toolbox image-classification neural-networks intel-distiller
Language:Jupyter Notebook 32
meteahishali / SRL-SOA
Hyperspectral Band Selection using Self-Representation Learning with Sparse 1D-Operational Autoencoder (SRL-SOA)
band-selection machine-learning sparse-autoencoders 1d-operational-layers hyperspectral-images
Language:Python 15
EnayatAria / ICA-based-band-selection-HSI
Independent component analysis for dimensionality reduction of hyperspectral images
ica hyperspectral-images independent-component-analysis band-selection
Language:Python 12
daniel-rychlewski / Cao-Keras-Visualization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
neural-network python band-selection hyperspectral-image-classification indianpines hyperspectral-imaging cao convolutional-neural-networks keras tensorflow keras-vis deep-viz deep-visualization saliency-maps activation-maps backpropagation integrated-gradients guided-backpropagation visual-backpropagation gradients
Language:Python 8
swetshaw / genetic-algorithm-band-selection
genetic-algorithm genetic-optimization-algorithm band-selection hyperspectral-analysis hyperspectral-band-selection remote-sensing hyperspectral-imaging genetic-algorithm-python python
Language:Python 6
whuhenry / OPBS
A Third-Party Implementation of Paper A Geometry-Based Band Selection Approach for Hyperspectral Image Analysis
band-selection paper
Language:Python 2