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Hyperspectral Image Classification

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Hyperspectral Image Classification is a task in the field of remote sensing and computer vision. It involves the classification of pixels in hyperspectral images into different classes based on their spectral signature. Hyperspectral images contain information about the reflectance of objects in hundreds of narrow, contiguous wavelength bands, making them useful for a wide range of applications, including mineral mapping, vegetation analysis, and urban land-use mapping. The goal of this task is to accurately identify and classify different types of objects in the image, such as soil, vegetation, water, and buildings, based on their spectral properties.

<span style="color:grey; opacity: 0.6">( Image credit: Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification )</span>

논문

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MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture

Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance

Hyperspectral Image Classification

논문

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture

Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance

Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating

Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification

HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder

Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification

Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification

Dynamic Memory-enhanced Transformer for Hyperspectral Image Classification

3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification

Sparse Deformable Mamba for Hyperspectral Image Classification

Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification

Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification

Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification

M$^3$amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing Classification

Randomized based restricted kernel machine for hyperspectral image classification

Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification

Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model

Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification

MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification

When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification

DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP

Correlation-Based Band Selection for Hyperspectral Image Classification

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification

Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification

DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification

Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification

Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image Classification

IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification

Selective Transformer for Hyperspectral Image Classification

Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification

3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image Classification

Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification