1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3M5KJ22 |
Repository | sid.inpe.br/sibgrapi/2016/07.22.22.12 |
Last Update | 2016:07.22.22.12.19 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2016/07.22.22.12.19 |
Metadata Last Update | 2022:07.30.18.33.26 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2016.064 |
Citation Key | AndradeJrAraśSant:2016:BoApRe |
Title | A Boosting-based Approach for Remote Sensing Multimodal Image Classification  |
Format | On-line |
Year | 2016 |
Access Date | 2025, May 09 |
Number of Files | 1 |
Size | 8372 KiB |
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2. Context | |
Author | 1 Andrade Junior, Edemir Ferreira de 2 Araśjo, Arnaldo de Albuquerque 3 Santos, Jefersson Alex dos |
Affiliation | 1 Universidade Federal de Minas Gerais 2 Universidade Federal de Minas Gerais 3 Universidade Federal de Minas Gerais |
Editor | Aliaga, Daniel G. Davis, Larry S. Farias, Ricardo C. Fernandes, Leandro A. F. Gibson, Stuart J. Giraldi, Gilson A. Gois, Joćo Paulo Maciel, Anderson Menotti, David Miranda, Paulo A. V. Musse, Soraia Namikawa, Laercio Pamplona, Mauricio Papa, Joćo Paulo Santos, Jefersson dos Schwartz, William Robson Thomaz, Carlos E. |
e-Mail Address | edemir.matcomp@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 29 (SIBGRAPI) |
Conference Location | Sćo José dos Campos, SP, Brazil |
Date | 4-7 Oct. 2016 |
Publisher | IEEE Computer Society“s Conference Publishing Services |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2016-07-22 22:12:19 :: edemir.matcomp@gmail.com -> administrator :: 2016-10-05 14:49:18 :: administrator -> edemir.matcomp@gmail.com :: 2016 2016-10-13 17:42:34 :: edemir.matcomp@gmail.com -> administrator :: 2016 2022-07-30 18:33:26 :: administrator -> :: 2016 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Multimodal Classification Remote Sensing Data Fusion |
Abstract | Remote Sensing Images (RSI) have been used as a major source of data, particularly with respect to the creation of thematic maps. This process is usually modeled as a supervised learning task where the system needs to learn the patterns of interest provided by the user and assign a class to the rest of the image regions. Thus, it is common to have images obtained from different sensors, which could improve the quality of thematic maps. However, this requires the creation of techniques to properly encode and combine the different properties of the images. So, this paper proposes a boosting-based technique for classification of regions in RSI that manages to encode features extracted from different sources of data, spectral and spatial domains. The approach is evaluated in an urban and a coffee crop recognition scenarios, achieving statistically better results in comparison with the baselines in urban classification and better results at some baselines for the coffee crop recognition. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2016 > A Boosting-based Approach... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A Boosting-based Approach... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3M5KJ22 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3M5KJ22 |
Language | en |
Target File | 106_Camera_Ready.pdf |
User Group | edemir.matcomp@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3M2D4LP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2016/07.02.23.50 37 sid.inpe.br/sibgrapi/2022/06.10.21.49 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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