Qingdao UAV-borne HSI (QUH) dataset for precise land cover classification.
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Updated
Sep 26, 2023 - MATLAB
Qingdao UAV-borne HSI (QUH) dataset for precise land cover classification.
[TNNLS 2023] The official repo for the paper "HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search".
Code of paper "RESIDUAL DENSE ASYMMETRIC CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION"
3D CNN architecture of HSI classification using AutoML Differentiable Architecture Search
SpaSSA: Superpixelwise Adaptive SSA for Unsupervised Spatial–Spectral Feature Extraction in Hyperspectral Image, TCYB, 2021
This toolbox allows the implementation of the following diffusion-based clustering algorithms on synthetic and real datasets.
[TNNLS 2023] The official repo for the paper "Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification".
A Computationally Efficient HybridSN with Inception Model
Code (Pytorch) of "Data and knowledge-driven deep multiview fusion network based on diffusion model for hyperspectral image classification" ESWA-03/2024 Accepted.
Swin transformer for HSI
A Novel Band Selection and Spatial Noise Reduction Method for Hyperspectral Image Classification, TGRS, 2022
PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution
Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery, Remote Sensing, 2018.
IEEE TGRS
My semester project for the course 'Machine Learning and Computational Statistics' during my studies in MSc in Data Science, AUEB.
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery, TCSVT, 2022
Phd Basic work
Classification of Hyperspectral Images ( HSIs ) with Principal Component Analysis ( PCA ) in CUDA ( cuBLAS ).
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