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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3PFRTUH
Repositorysid.inpe.br/sibgrapi/2017/08.22.00.52
Last Update2017:08.22.00.52.58 administrator
Metadatasid.inpe.br/sibgrapi/2017/08.22.00.52.58
Metadata Last Update2020:02.19.02.01.39 administrator
Citation KeyCasagrandeMaSaTuHaMo:2017:PrNeNe
TitleProbabilistic Neural Network and Wavelet Transform for Mapping of Phragmites australis Using Low Altitude Remote Sensing
FormatOn-line
Year2017
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size26422 KiB
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Author1 Casagrande, Luan
2 Machado, Gustavo Mello
3 Samiappan, Sathishkumar
4 Turnage, Gray
5 Hathcock, Lee
6 Moorhead, Robert
Affiliation1 Department of Computer Engineering, Universidade Federal de Santa Catarina, Ararangua, SC, Brazil;
2 Department of Computer Engineering, Universidade Federal de Santa Catarina, Ararangua, SC, Brazil;
3 Geosystems Research Institute, Mississippi State University, Starkville, MS, USA
4 Geosystems Research Institute, Mississippi State University, Starkville, MS, USA
5 Geosystems Research Institute, Mississippi State University, Starkville, MS, USA
6 Geosystems Research Institute, Mississippi State University, Starkville, MS, USA
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressluanccasagrande@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2017-08-22 00:52:58 :: luanccasagrande@gmail.com -> administrator ::
2020-02-19 02:01:39 :: administrator -> :: 2017
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsProbablistic neural networks, Wavelets, Image texture classification, Wetlands, Phragmites.
AbstractPhragmites australis (common reed) commonly found in the coastal wetlands can rapidly alter the ecology of these systems by outcompeting native plant species for resources. Identifying and mapping Phragmites can help resource managers to restore affected wetlands. In this work, we use probabilistic neural network with wavelet texture features for mapping regions with Phragmites in visible spectrum imagery acquired at low altitude with small unmanned aerial system. Evaluation study was conducted with imagery acquired in the delta of the Pearl River located in southeastern Louisiana and southwestern Mississippi, United States of America. In comparison to state-of-the-art, our approach presented improvements in several statistical variables such as overall accuracy and kappa value. Furthermore, we show that the remaining omission and commission errors with this technique are generally located along boundaries of patches with Phragmites, which reduces unnecessary efforts for resource managers while searching for nonexistent patches.
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data URLhttp://urlib.net/rep/8JMKD3MGPAW/3PFRTUH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFRTUH
Languageen
Target Filepaper.pdf
User Groupluanccasagrande@gmail.com
Visibilityshown
Update Permissionnot transferred
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PJT9LS
8JMKD3MGPAW/3PKCC58
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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