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Hyperspectral image classification is the task of classifying a class label to every pixel in an image that was captured using (hyper)spectral sensors.

( Image credit: Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification )

Benchmarks

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Datasets

Greatest papers with code

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

28 Feb 2018eecn/Hyperspectral-Classification

In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral image data, called HSI-CNN.

HYPERSPECTRAL IMAGE CLASSIFICATION

Going Deeper with Contextual CNN for Hyperspectral Image Classification

12 Apr 2016eecn/Hyperspectral-Classification

The initial spatial and spectral feature maps obtained from the multi-scale filter bank are then combined together to form a joint spatio-spectral feature map.

HYPERSPECTRAL IMAGE CLASSIFICATION

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

IEEE Geoscience and Remote Sensing Magazine 2019 nshaud/DeepHyperX

1 This article is intended for both data scientists with interest in hyperspectral data and remote sensing experts eager to apply deep learning techniques to their own dataset.

HYPERSPECTRAL IMAGE CLASSIFICATION

HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

18 Feb 2019gokriznastic/HybridSN

This letter proposes a Hybrid Spectral Convolutional Neural Network (HybridSN) for HSI classification.

 Ranked #1 on Hyperspectral Image Classification on Indian Pines (using extra training data)

HYPERSPECTRAL IMAGE CLASSIFICATION

Graph Convolutional Networks for Hyperspectral Image Classification

6 Aug 2020danfenghong/IEEE_TGRS_GCN

Convolutional neural networks (CNNs) have been attracting increasing attention in hyperspectral (HS) image classification, owing to their ability to capture spatial-spectral feature representations.

HYPERSPECTRAL IMAGE CLASSIFICATION

Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)

5 Mar 2020BehnoodRasti/HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox

The advances in feature extraction have been inspired by two fields of research, including the popularization of image and signal processing as well as machine (deep) learning, leading to two types of feature extraction approaches named shallow and deep techniques.

HYPERSPECTRAL IMAGE CLASSIFICATION

Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

1 May 2017xiangyongcao/CNN_HSIC_MRF

This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework.

HYPERSPECTRAL IMAGE CLASSIFICATION

Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

24 Dec 2020suvojit-0x55aa/A2S2K-ResNet

Hyperspectral images (HSIs) provide rich spectral-spatial information with stacked hundreds of contiguous narrowbands.

HYPERSPECTRAL IMAGE CLASSIFICATION