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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 201–250 of 286 papers

TitleStatusHype
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image ClassificationCode0
Deep Manifold Embedding for Hyperspectral Image ClassificationCode0
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
Label Consistent Transform Learning for Hyperspectral Image Classification—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Naive Gabor Networks for Hyperspectral Image Classification—0
3D CNN with Localized Residual Connections for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Deep Learning for Hyperspectral Image Classification: An Overview—0
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network—0
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification—0
Sparse Bayesian approach for metric learning in latent spaceCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image ClassificationCode0
Optimizing CNN-based Hyperspectral ImageClassification on FPGAsCode0
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral ImagesCode0
Band Attention Convolutional Networks For Hyperspectral Image Classification—0
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification—0
Segmentation-Aware Hyperspectral Image Classification—0
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image ClassificationCode0
A novel statistical metric learning for hyperspectral image classification—0
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification—0
Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image ClassificationCode0
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification—0
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification—0
Deep Learning for Classification of Hyperspectral Data: A Comparative ReviewCode0
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral ImageCode0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification—0
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral imagesCode0
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification—0
1D-Convolutional Capsule Network for Hyperspectral Image Classification—0
Superpixel Contracted Graph-Based Learning for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification—0
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image ClassificationCode0
Is Pretraining Necessary for Hyperspectral Image Classification?—0
Multi-branch fusion network for hyperspectral image classification—0
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification—0
Generating Hard Examples for Pixel-wise Classification—0
Ladder Networks for Semi-Supervised Hyperspectral Image Classification—0
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification—0
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification—0
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