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Hyperspectral Image Classification

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.

( Image credit: Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification )

Papers

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Showing 101–150 of 286 papers

TitleStatusHype
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection—0
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification—0
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image ClassificationCode0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification—0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image ClassificationCode0
SpectralMamba: Efficient Mamba for Hyperspectral Image Classification—0
Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification—0
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image ClassificationCode0
Randomized Principal Component Analysis for Hyperspectral Image Classification—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification—0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification—0
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data—0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group ConvolutionCode0
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image ClassificationCode0
Multi-Scale U-Shape MLP for Hyperspectral Image Classification—0
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study—0
Boosting the Generalization Ability for Hyperspectral Image Classification using Spectral-spatial Axial Aggregation Transformer—0
Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification—0
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationCode0
Multimodal Hyperspectral Image Classification via Interconnected Fusion—0
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive FilteringCode0
A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification—0
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification—0
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification—0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification—0
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image ClassificationCode0
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification—0
Self Supervised Learning for Few Shot Hyperspectral Image Classification—0
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification—0
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—0
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification—0
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification—0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification—0
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification—0
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total VariationCode0
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