1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/47TM2PL |
Repository | sid.inpe.br/mtc-m21d/2022/11.03.13.15 (restricted access) |
Last Update | 2022:11.03.13.15.55 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2022/11.03.13.15.55 |
Metadata Last Update | 2023:01.03.16.46.22 (UTC) administrator |
DOI | 10.3390/fi14100275 |
ISSN | 1999-5903 |
Citation Key | LucenaBreuKux:2022:ApLaUn |
Title | The Combined Use of UAV-Based RGB and DEM Images for the Detection and Delineation of Orange Tree Crowns with Mask R-CNN: An Approach of Labeling and Unified Framework |
Year | 2022 |
Month | Oct. |
Access Date | 2024, May 27 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 4427 KiB |
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2. Context | |
Author | 1 Lucena, Felipe Rafael de Sá Menezes 2 Breunig, Fábio Marcelo 3 Kux, Hermann Johann Heinrich |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHCD |
ORCID | 1 2 0000-0002-0405-9603 |
Group | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 3 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Federal de Santa Maria (UFSM) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 felipesa01@gmail.com 2 3 arminiusbrasilis@gmail.com |
Journal | Future Internet |
Volume | 14 |
Number | 10 |
Pages | e275 |
History (UTC) | 2022-11-03 13:16:08 :: simone -> administrator :: 2022 2023-01-03 16:46:22 :: administrator -> simone :: 2022 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | instance segmentation Mask R-CNN precision agriculture tree delineation tree detection UAV-based images |
Abstract | In this study, we used images obtained by Unmanned Aerial Vehicles (UAV) and an instance segmentation model based on deep learning (Mask R-CNN) to evaluate the ability to detect and delineate canopies in high density orange plantations. The main objective of the work was to evaluate the improvement acquired by the segmentation model when integrating the Canopy Height Model (CHM) as a fourth band to the images. Two models were evaluated, one with RGB images and the other with RGB + CHM images, and the results indicated that the model with combined images presents better results (overall accuracy from 90.42% to 97.01%). In addition to the comparison, this work suggests a more efficient ground truth mapping method and proposes a methodology for mosaicking the results by Mask R-CNN on remotely sensed images. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > The Combined Use... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > The Combined Use... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | futureinternet-14-00275.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE |
Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 4 sid.inpe.br/bibdigital/2022/04.03.22.23 1 sid.inpe.br/mtc-m21/2012/07.13.14.49.50 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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