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Hyperspectral Image Classification

7 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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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

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

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.

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