A hyperspectral remote sensing image classification model for inclusion and reproduction.
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Updated
Dec 24, 2025 - Python
A hyperspectral remote sensing image classification model for inclusion and reproduction.
A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data
HSI and LiDAR image fusion based on Deep Learning
CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.
This repository contains codes for Ensemble of multiple CNN classifiers for Hyperspectral Image Classification with superpixel smoothing
Graph-Weighted Contrastive Learning
Underwater Target Detection from Hyperspectral Imagery
This is the code for the ACM MM 2024 paper :SCPSN: Spectral Clustering-based Pyramid Super-resolution Network for Hyperspectral Images
Hyperspectral Mineral Mapping Toolbox transforms HSI scenes into mineral class and abundance maps via physics-guided spectral-library augmentation, adaptive Vertex Component Analysis, and compact 3-D CNN for spectral classification; validated on McMurdo Dry Valleys and configurable for EMIT, EnMAP etc, ensuring reproducibility across sensors.
For hyperspectral image/高光谱图像分类网络
Convert RGB colours to HSI and find the distance between two colours in the HSI colour space
hyperspectral image classification method, including CNN,Transformer,Mamba
Converting colors from RGB to HSI of an image given in RGB color space by computing the Hue (H), Saturation (S), Intensity (I) percentages and vice-versa.
Human State Interface — open specification for representing and exchanging inferred human-state signals across systems. Schema, RFCs, test vectors.
Straightforward environment for hyperspectral analysis in Python.
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