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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 76–100 of 286 papers

TitleStatusHype
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
Locality-Aware Hyperspectral ClassificationCode1
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
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationCode1
Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification—0
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationCode0
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image ClassificationCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
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
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
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
Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image ClassificationCode1
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
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