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Hyperspectral Image Classification

12 papers with code · Computer Vision

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

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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

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

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.

 SOTA for Hyperspectral Image Classification on Indian Pines (using extra training data)

HYPERSPECTRAL IMAGE CLASSIFICATION

Hyperspectral Image Classification in the Presence of Noisy Labels

12 Sep 2018junjun-jiang/RLPA

The key idea of RLPA is to exploit knowledge (e. g., the superpixel based spectral-spatial constraints) from the observed hyperspectral images and apply it to the process of label propagation.

HYPERSPECTRAL IMAGE CLASSIFICATION

Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification

27 Jun 2019custom-computing-ic/SpecPatConv3D-Network

Hyperspectral images (HSIs) can distinguish materials with high number of spectral bands, which is widely adopted in remote sensing applications and benefits in high accuracy land cover classifications.

HYPERSPECTRAL IMAGE CLASSIFICATION

Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image Classification

11 May 2019stop68/remote-sensing-image-classification

Deep learning models have achieved promising results on hyperspectral image classification, but their performance highly rely on sufficient labeled samples, which are scarce on hyperspectral images.

HYPERSPECTRAL IMAGE CLASSIFICATION