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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 101–125 of 286 papers

TitleStatusHype
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image ClassificationCode0
Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image ClassificationCode0
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image ClassificationCode0
Discrete Cosine Transform-Based Joint Spectral-Spatial Information Compression and Band Correlation Calculation for Hyperspectral Feature ExtractionCode0
3D CNN with Localized Residual Connections for Hyperspectral Image ClassificationCode0
DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image ClassificationCode0
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image ClassificationCode0
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
Deep supervised learning for hyperspectral data classification through convolutional neural networksCode0
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Deep Manifold Embedding for Hyperspectral Image ClassificationCode0
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image ClassificationCode0
Hyperspectral image classification via a random patches networkCode0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
Deep Learning for Classification of Hyperspectral Data: A Comparative ReviewCode0
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
HSI-CNN: A Novel Convolution Neural Network for Hyperspectral ImageCode0
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image ClassificationCode0
Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image ClassificationCode0
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image ClassificationCode0
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