Dec 11, 2018 · Abstract: In this work, we propose a new semisupervised active learning approach for hyperspectral image classification.

In this work, we propose a new semisupervised active learning approach for hyperspectral image classification. The proposed method aims at improving machine ...

In this work, we propose a new semisupervised active learning approach for hyperspectral image classification. The proposed method aims at improving machine ...

Active Learning (AL) for Hyperspectral Image Classification (HSIC) has been extensively studied. However, the traditional AL methods do not consider randomness ...

A superpixel-based graph model for HSI classification, using anchor graph regularization to improve the extraction of local and nonlocal spatial information ...

Demo for the proposed SSAL-SDP method, i.e., superpixel-based semisupervised active learning (SSAL) method with the density peak (DP) augmentation, ...

This letter proposes a novel active learning (AL) framework that utilizes the information derived from multiscale superpixel maps for the classification of ...

A spatial-spectral AL method is proposed that integrates spatial and spectral features extracted from superpixels in an AL framework that has faster ...

This work proposes a new collaborative active and semi-supervised learning approach, named accessibility-free active learning (AFAL), for hyperspectral imaging ...

For classification of hyperspectral data, an informative training set is necessary for ensuring robust performance. However, in remote sensing and other image ...