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http://hdl.handle.net/10397/93593
Title: | New scheme for impervious surface area mapping from SAR images with auxiliary user-generated content | Authors: | Wu, W Miao, Z Xiao, Y Li, Z Zhang, A Samat, A Du, N Xu, Z Gamba, P |
Issue Date: | 2020 | Source: | IEEE journal of selected topics in applied earth observations and remote sensing, 2020, v. 13, p. 5954-5970 | Abstract: | This article presents a new scheme to extract impervious surface area from synthetic-aperture radar (SAR) images exploiting auxiliary user-generated content (UGC). The presented scheme includes the automatic generation of training samples based on the combination of UGC and SAR data, and SAR data preprocessing, leading to impervious surface area classification through a clustering-based one-class support vector machine approach. Two areas-namely, the cities of Beijing and Taipei, have been analyzed using the Sentinel-1 SAR data to test and validate the proposed methodology. Experimental results show that the presented scheme improves the automatic selection of impervious surface training samples. Moreover, this scheme achieves a comparable classification performance to traditional methods without requiring time-consuming training point manual extraction. Results in this study will help to promote the application of UGC for urban remote sensing data interpretation. | Keywords: | Clustering-based one-class support vector machine Impervious surface area (ISA) User-generated content (UGC) Synthetic-aperture radar (SAR) |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE journal of selected topics in applied earth observations and remote sensing | ISSN: | 1939-1404 | EISSN: | 2151-1535 | DOI: | 10.1109/JSTARS.2020.3027507 | Rights: | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information see https://creativecommons.org/licenses/by-nc-nd/4.0/ The following publication Wu, W., Miao, Z., Xiao, Y., Li, Z., Zhang, A., Samat, A., ... & Gamba, P. (2020). New Scheme for Impervious Surface Area Mapping From SAR Images With Auxiliary User-Generated Content. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5954-5970 is available at https://doi.org/10.1109/JSTARS.2020.3027507 |
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Wu_New_Scheme_Impervious.pdf | 18.87 MB | Adobe PDF | View/Open |
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