VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Jaccard distance based weighted sparse representation for coarse-to-fine plant species recognition

dc.contributor.authorZhang, Shanwenen
dc.contributor.authorWu, Xiaoweien
dc.contributor.authorYou, Zhuhongen
dc.contributor.departmentStatisticsen
dc.date.accessioned2018-07-26T17:04:35Zen
dc.date.available2018-07-26T17:04:35Zen
dc.date.issued2017-06-07en
dc.description.abstractLeaf based plant species recognition plays an important role in ecological protection, however its application to large and modern leaf databases has been a long-standing obstacle due to the computational cost and feasibility. Recognizing such limitations, we propose a Jaccard distance based sparse representation (JDSR) method which adopts a two-stage, coarse to fine strategy for plant species recognition. In the first stage, we use the Jaccard distance between the test sample and each training sample to coarsely determine the candidate classes of the test sample. The second stage includes a Jaccard distance based weighted sparse representation based classification(WSRC), which aims to approximately represent the test sample in the training space, and classify it by the approximation residuals. Since the training model of our JDSR method involves much fewer but more informative representatives, this method is expected to overcome the limitation of high computational and memory costs in traditional sparse representation based classification. Comparative experimental results on a public leaf image database demonstrate that the proposed method outperforms other existing feature extraction and SRC based plant recognition methods in terms of both accuracy and computational speed.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0178317en
dc.identifier.eissn1932-6203en
dc.identifier.issue6en
dc.identifier.othere0178317en
dc.identifier.pmid28591147en
dc.identifier.urihttp://hdl.handle.net/10919/84405en
dc.identifier.volume12en
dc.language.isoenen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleJaccard distance based weighted sparse representation for coarse-to-fine plant species recognitionen
dc.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
journal.pone.0178317.pdf
Size:
10.59 MB
Format:
Adobe Portable Document Format
Description: