SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 286 papers

TitleStatusHype
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image ClassificationCode1
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image ClassificationCode1
Spectral-Spatial Mamba for Hyperspectral Image ClassificationCode1
A Fast 3D CNN for Hyperspectral Image ClassificationCode1
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future ProspectsCode1
JigsawHSI: a network for Hyperspectral Image classificationCode1
Triplet-Watershed for Hyperspectral Image ClassificationCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image ClassificationCode1
Efficient Deep Learning of Non-local Features for Hyperspectral Image ClassificationCode1
S3Net: Spectral–Spatial Siamese Network for Few-Shot Hyperspectral Image ClassificationCode1
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image ClassificationCode1
Dual-stage Hyperspectral Image Classification Model with Spectral SupertokenCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Hyperspectral Image Classification in the Presence of Noisy LabelsCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Hyperspectral image classification via a random patches networkCode0
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature EmbeddingCode0
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image ClassificationCode0
Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total VariationCode0
Show:102550
← PrevPage 3 of 12Next →

No leaderboard results yet.