Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images
Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images
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Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Language
English
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Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Scope and Contents
Contents
This paper deals with the problem of the classification of large-scale very high-resolution (VHR) remote sensing (RS) images in a semisupervised scenario, where we have a limited training set (less than ten training samples per class). Typical pixel-based classification methods are unfeasible for large-scale VHR images. Thus, as a practical and eff...
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Full title
Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images
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TN_cdi_proquest_journals_2025304167
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2025304167
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ISSN
1687-725X
E-ISSN
1687-7268
DOI
10.1155/2018/6257810
