Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66802
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | - |
| dc.creator | Shao, P | - |
| dc.creator | Shi, WZ | - |
| dc.creator | He, PF | - |
| dc.creator | Hao, M | - |
| dc.creator | Zhang, XK | - |
| dc.date.accessioned | 2017-05-22T02:26:48Z | - |
| dc.date.available | 2017-05-22T02:26:48Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/66802 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
| dc.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 by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Shao, P., Shi, W. Z., He, P. F., Hao, M., & Zhang, X. K. (2016). Novel approach to unsupervised change detection based on a robust semi-supervised FCM clustering algorithm. Remote Sensing, 8(3), (Suppl. ), - is available at https://dx.doi.org/10.3390/rs8030264 | en_US |
| dc.subject | Robust semi-supervised fuzzy C-means | en_US |
| dc.subject | Thresholding | en_US |
| dc.subject | Remote sensing | en_US |
| dc.subject | Clustering with partial supervision | en_US |
| dc.subject | Unsupervised change detection | en_US |
| dc.subject | Fuzzy C-means | en_US |
| dc.title | Novel approach to unsupervised change detection based on a robust semi-supervised FCM clustering algorithm | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 8 | - |
| dc.identifier.issue | 3 | - |
| dc.identifier.doi | 10.3390/rs8030264 | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Remote sensing, Mar. 2016, v. 8, no. 3, p. 1-25 | - |
| dcterms.isPartOf | Remote sensing | - |
| dcterms.issued | 2016 | - |
| dc.identifier.isi | WOS:000373627400014 | - |
| dc.identifier.eissn | 2072-4292 | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Shao_Unsupervised_Robust_Semi-supervised.pdf | 8.7 MB | Adobe PDF | View/Open |
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