A review on graph-based semi-supervised learning methods for hyperspectral image classification
In this article, a comprehensive review of the state-of-art graph-based learning methods for classification of the hyperspectral images (HSI) is provided, including a spectral information based graph semi-supervised classification and a spectral-spatial information based graph semi-supervised classi...
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Format: | Article |
Language: | English |
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Elsevier
2020-08-01
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Series: | Egyptian Journal of Remote Sensing and Space Sciences |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982318301960 |
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author | Shrutika S. Sawant Manoharan Prabukumar |
author_facet | Shrutika S. Sawant Manoharan Prabukumar |
author_sort | Shrutika S. Sawant |
collection | DOAJ |
description | In this article, a comprehensive review of the state-of-art graph-based learning methods for classification of the hyperspectral images (HSI) is provided, including a spectral information based graph semi-supervised classification and a spectral-spatial information based graph semi-supervised classification. In addition, related techniques are categorized into the following sub-types: (1) Manifold representation based Graph Semi-supervised Learning for HSI Classification (2) Sparse representation based Graph Semi-supervised Learning for HSI Classification. For each technique, methodologies, training and testing samples, various technical difficulties, as well as performances, are discussed. Additionally, future research challenges imposed by the graph-based model are indicated. |
first_indexed | 2024-12-11T12:45:59Z |
format | Article |
id | doaj.art-e0f95b7f4466488abab939267b38d2b2 |
institution | Directory Open Access Journal |
issn | 1110-9823 |
language | English |
last_indexed | 2024-12-11T12:45:59Z |
publishDate | 2020-08-01 |
publisher | Elsevier |
record_format | Article |
series | Egyptian Journal of Remote Sensing and Space Sciences |
spelling | doaj.art-e0f95b7f4466488abab939267b38d2b22022-12-22T01:06:50ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232020-08-01232243248A review on graph-based semi-supervised learning methods for hyperspectral image classificationShrutika S. Sawant0Manoharan Prabukumar1SITE, VIT University, Vellore, IndiaCorresponding author.; SITE, VIT University, Vellore, IndiaIn this article, a comprehensive review of the state-of-art graph-based learning methods for classification of the hyperspectral images (HSI) is provided, including a spectral information based graph semi-supervised classification and a spectral-spatial information based graph semi-supervised classification. In addition, related techniques are categorized into the following sub-types: (1) Manifold representation based Graph Semi-supervised Learning for HSI Classification (2) Sparse representation based Graph Semi-supervised Learning for HSI Classification. For each technique, methodologies, training and testing samples, various technical difficulties, as well as performances, are discussed. Additionally, future research challenges imposed by the graph-based model are indicated.http://www.sciencedirect.com/science/article/pii/S1110982318301960Hyperspectral imagesSemi-supervised learningImage classificationGraph-based learning |
spellingShingle | Shrutika S. Sawant Manoharan Prabukumar A review on graph-based semi-supervised learning methods for hyperspectral image classification Egyptian Journal of Remote Sensing and Space Sciences Hyperspectral images Semi-supervised learning Image classification Graph-based learning |
title | A review on graph-based semi-supervised learning methods for hyperspectral image classification |
title_full | A review on graph-based semi-supervised learning methods for hyperspectral image classification |
title_fullStr | A review on graph-based semi-supervised learning methods for hyperspectral image classification |
title_full_unstemmed | A review on graph-based semi-supervised learning methods for hyperspectral image classification |
title_short | A review on graph-based semi-supervised learning methods for hyperspectral image classification |
title_sort | review on graph based semi supervised learning methods for hyperspectral image classification |
topic | Hyperspectral images Semi-supervised learning Image classification Graph-based learning |
url | http://www.sciencedirect.com/science/article/pii/S1110982318301960 |
work_keys_str_mv | AT shrutikassawant areviewongraphbasedsemisupervisedlearningmethodsforhyperspectralimageclassification AT manoharanprabukumar areviewongraphbasedsemisupervisedlearningmethodsforhyperspectralimageclassification AT shrutikassawant reviewongraphbasedsemisupervisedlearningmethodsforhyperspectralimageclassification AT manoharanprabukumar reviewongraphbasedsemisupervisedlearningmethodsforhyperspectralimageclassification |