Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66668
| Title: | A scale-driven change detection method incorporating uncertainty analysis for remote sensing images | Authors: | Hao, M Shi, WZ Zhang, H Wang, QM Deng, KZ |
Issue Date: | 2016 | Source: | Remote sensing, Sept. 2016, v. 8, no. 9, p. 1-19 | Keywords: | Change detection Statistical region merging Dempster-Shafer evidence theory Uncertainty analysis |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Remote sensing | EISSN: | 2072-4292 | DOI: | 10.3390/rs8090745 | Rights: | © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). The following publication Hao, M., Shi, W. Z., Zhang, H., Wang, Q. M., & Deng, K. Z. (2016). A scale-driven change detection method incorporating uncertainty analysis for remote sensing images. Remote Sensing, 8(9), (Suppl. ), - is available athttps://dx.doi.org/10.3390/rs8090745 |
| Appears in Collections: | Journal/Magazine Article |
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| Hao_Scale-driven_Change_Detection.pdf | 5.93 MB | Adobe PDF | View/Open |
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