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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 251–286 of 286 papers

TitleStatusHype
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification—0
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification—0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification—0
Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification—0
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification—0
Generating Hard Examples for Pixel-wise Classification—0
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering—0
Feature Selection and Classification of Hyperspectral Images With Support Vector Machines—0
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning—0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study—0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction—0
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations—0
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification—0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—0
Deep Learning for Hyperspectral Image Classification: An Overview—0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification—0
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification—0
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification—0
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification—0
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification—0
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification—0
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification—0
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images—0
High Performance Hyperspectral Image Classification using Graphics Processing Units—0
Cross-domain CNN for Hyperspectral Image Classification—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning—0
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification—0
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