Fechar

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP8W/3BTG832
Repositóriosid.inpe.br/mtc-m18/2012/05.18.17.24
Última Atualização2012:05.18.17.24.36 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.18.17.24.36
Última Atualização dos Metadados2018:06.04.03.55.42 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoKhoshelhamOude:2012:RoDiRe
TítuloRole of dimensionality reduction in segment-based classification of damaged building roofs in airborne laser scanning data
FormatoOn-line.
Ano2012
Data de Acesso19 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho821 KiB
2. Contextualização
Autor1 Khoshelham, Kourosh
2 Oude-Elberink, Sander
Endereço de e-Mail do Autor1 khoshelham@itc.nl
2 oudeelberink@itc.nl
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
Endereço de e-Mailwanderf@dsr.inpe.br
Nome do EventoInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Localização do EventoRio de Janeiro
DataMay 7-9, 2012
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas372-377
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-18 17:24:36 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:46:21 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:45 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:26 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:32 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:57 :: marciana -> administrator :: 2012
2018-06-04 03:55:42 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveDisaster management
Pattern classification
Feature selection
Detection
Complexity
Lidar
Segmentation
ResumoWe present a segment-based approach to detecting damaged building roofs in aerial laser scanning data. It consists of a segmentation step, where points are grouped into planar segments, a feature extraction step, and a classification step, where each segment is classified as damaged or intact. Such a segment-based approach faces two major challenges: first, extraction of features that are relevant to the target classes and can adequately distinguish between the intact and damaged segments is not straightforward. Second, the generation of reference segments for training and testing is difficult due the complexity of interpreting point clouds. To overcome these challenges the role of feature selection and dimensionality reduction in training a classifier using few training samples is investigated. We evaluate the performance of several classifiers with different sets of features in terms of classification accuracy. The results indicate the usefulness of dimensionality reduction methods in segment-based classification of aerial laser scanning data with few training samples. With 12 features and 50 training segments a linear classifier outperforms more complex classifiers; however, dimensionality reduction methods result in larger improvements in the performance of complex classifiers.
ÁreaSRE
TipoUrban Applications
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP8W/3BTG832
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BTG832
Idiomaen
Arquivo Alvo103.pdf
Grupo de Usuáriosadministrator
wanderf@dsr.inpe.br
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Acervo Hospedeirosid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume


Fechar