Classification of hyperspectral images using self-training and a pseudo validation set
Author:
Affiliation:
1. Department of Information Technology, KMGGP Badalpur, G.B Nagar, India
2. School of Computer & Systems Sciences, JNU, New Delhi, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1511932
Reference11 articles.
1. A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images
2. Semisupervised Self-Learning for Hyperspectral Image Classification
3. Techniques and Applications of Hyperspectral Image Analysis
4. ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation
5. A Novel Synergetic Classification Approach for Hyperspectral and Panchromatic Images Based on Self-Learning
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1. BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images;IEEE Transactions on Computational Imaging;2023
2. Self-Training with Spatially Confident and Diverse Samples for the Classification of Remote Sensing Images;Journal of the Indian Society of Remote Sensing;2022-02-01
3. Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net;IEEE Transactions on Geoscience and Remote Sensing;2022
4. Self-training algorithm for hyperspectral imagery classification based on mixed measurement k-nearest neighbor and support vector machine;Journal of Applied Remote Sensing;2021-08-11
5. A semi-supervised learning method for hyperspectral imagery based on self-training and local-based affinity propagation;International Journal of Remote Sensing;2021-06-30
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