Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66427
Title: | Novel object-based filter for improving land-cover classification of aerial imagery with very high spatial resolution | Authors: | Lv, ZY Shi, WZ Benediktsson, JA Ning, XJ |
Issue Date: | 2016 | Source: | Remote sensing, Dec. 2016, v. 8, no. 12, p. 1-14 | Keywords: | Image filter Very high spatial resolution (VHSR) aerial image Multi-scale segmentation Land cover classification |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Remote sensing | EISSN: | 2072-4292 | DOI: | 10.3390/rs8121023 | 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 Lv, Z. Y., Shi, W. Z., Benediktsson, J. A., & Ning, X. J. (2016). Novel object-based filter for improving land-cover classification of aerial imagery with very high spatial resolution. Remote Sensing, 8(12), (Suppl. ), - is available athttps://dx.doi.org/10.3390/rs8121023 |
Appears in Collections: | Journal/Magazine Article |
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Lv_Object-based_Filter_Land-cover.pdf | 17.82 MB | Adobe PDF | View/Open |
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