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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3MTMTJ3
Repositorysid.inpe.br/plutao/2016/12.05.18.46.22
Last Update2016:12.13.15.19.30 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2016/12.05.18.46.23
Metadata Last Update2018:06.04.23.26.11 (UTC) administrator
DOI10.13140/RG.2.2.27778.27844
ISBN9789036542012
Labellattes: 5186139934330175 1 SoaresKörtFons:2016:FiExUs
Citation KeySoaresKörtFons:2016:FiExUs
TitleFirst experiments using the image foresting transform (IFT) algorithm for segmentation of remote sensing imagery
FormatDVD
Year2016
Access Date2024, Mar. 29
Secondary TypePRE CI
Number of Files1
Size369 KiB
2. Context
Author1 Soares, Anderson Reis
2 Körting, Thales Sehn
3 Fonseca, Leila Maria Garcia
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHLD
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 DPI-OBT-INPE-MCTI-GOV-BR
3 OBT-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 anderson.soares@inpe.br
2 thales.korting@inpe.br
3 leila.fonseca@inpe.br
Conference NameGEOBIA 2016 : Solutions and Synergies
Conference LocationEnschede
Date14-16 sept.
PublisherUniversity of Twente Faculty of Geo-Information and Earth Observation (ITC)
Book TitleProceedings
Tertiary TypePaper
History (UTC)2016-12-05 19:37:41 :: lattes -> administrator :: 2016
2016-12-09 07:36:10 :: administrator -> lattes :: 2016
2016-12-13 15:19:30 :: lattes -> administrator :: 2016
2018-06-04 23:26:11 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsImage Segmentation
Image Foresting Transform
Multiresolution Segmentation
Segmentation Comparison
AbstractImage segmentation is a traditional method in Remote Sensing and a fundamental problem in image processing applications. It has been widely used, especially with the emergence of the Geographic Object-Based Image Analysis (GEOBIA). The results of segmentation must create uniform areas, which must allow a simpler interpretation by the users and simpler representation for classification algorithms. Several algorithms were proposed through the years, using different approaches. One that is widely used in Remote Sensing applications is the Multiresolution algorithm, that is based on the region growing method. Other, which has great potential and is applied in other research areas, is available on the Image Foresting Transform (IFT) framework, which has several image operators developed primarily for medical images. The Watershed from Grayscale Marker operator uses an edge image to perform the segmentation, however, we propose an extension of the edge detection algorithm, by summing normalized gradients of each band. This work aims to evaluate and compare these two segmentation algorithms, by comparing their results through supervised segmentation from reference regions, that were defined manually by an expert user. Quality measures were evaluated by four metrics, that represent the positional adjustment based the center of gravity, intensities, size, and the amount of overlap between the segment created by the algorithms and the reference segment. We selected 21 objects of a WorldView-2 multispectral image that were used to compute the metrics. Both methods reached similar results, by comparing the aforementioned 4 metrics applied to the 21 reference regions, IFT achieved better results for majority of regions. The IFT generated segments with similar shape when compared with the references, and the multiresolution generated results with similar sizes and positional adjustments. It may be explained by the fact that IFT uses an edge image to perform the segmentation. Both algorithms obtained similar agreement for intensity.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > First experiments using...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > First experiments using...
Arrangement 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > First experiments using...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3MTMTJ3
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3MTMTJ3
Languageen
Target Filesoares_first.pdf
Reader Groupadministrator
lattes
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/3F3NU5S
URL (untrusted data)http://proceedings.utwente.nl/441/
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor issn lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type usergroup volume
7. Description control
e-Mail (login)simone
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