Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.isprsjprs.2018.11.025 http://hdl.handle.net/11449/187137 |
Resumo: | Miniaturised 2D frame format hyperspectral camera technology that is suitable for small unmanned aerial vehicles (UAVs) has entered the market, making the generation of hyperspectral digital surface models (HDSMs) feasible. HDSMs offer a rigorous approach to capturing the target spectral and 3D geometric data. The main objective of this investigation was to study and develop techniques for the generation of HDSMs in forest areas using novel hyperspectral 2D frame camera technologies. An approach based on object-space image matching was developed, adapting the traditional vertical line locus (VLL) method for HDSM generation; this was then named the hyperspectral VLL (HVLL) approach. Additionally, image classification was introduced into the processing chain in order to adapt the matching parameters, based on different classes. We also proposed a method for extracting the spectral and viewing angle information of the points. An empirical study was carried out using UAV datasets from tropical and boreal forests using 2D format hyperspectral cameras, based on tuneable Fabry-Pérot interferometer (FPI) technology. Quality assessment was performed using DSMs based on state-of-the-art commercial software and airborne laser scanning (ALS). The results showed that the proposed technique generated a high-quality HDSM in both tested environments. The HDSM had higher deviations over the continuous canopy cover than the digital surface models (DSMs) generated using commercial software. The method using image classification information outperformed the commercial approach with respect to the ability to measure ground points in shadowed areas and in canopy gaps. The proposed method is of great interest in supporting automated interpretations of novel multi- and hyperspectral imaging technologies, especially when applied complex objects, such as forests. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame cameraForestHyperspectral 2D frame cameraHyperspectral digital surface modelImage matchingMiniaturised 2D frame format hyperspectral camera technology that is suitable for small unmanned aerial vehicles (UAVs) has entered the market, making the generation of hyperspectral digital surface models (HDSMs) feasible. HDSMs offer a rigorous approach to capturing the target spectral and 3D geometric data. The main objective of this investigation was to study and develop techniques for the generation of HDSMs in forest areas using novel hyperspectral 2D frame camera technologies. An approach based on object-space image matching was developed, adapting the traditional vertical line locus (VLL) method for HDSM generation; this was then named the hyperspectral VLL (HVLL) approach. Additionally, image classification was introduced into the processing chain in order to adapt the matching parameters, based on different classes. We also proposed a method for extracting the spectral and viewing angle information of the points. An empirical study was carried out using UAV datasets from tropical and boreal forests using 2D format hyperspectral cameras, based on tuneable Fabry-Pérot interferometer (FPI) technology. Quality assessment was performed using DSMs based on state-of-the-art commercial software and airborne laser scanning (ALS). The results showed that the proposed technique generated a high-quality HDSM in both tested environments. The HDSM had higher deviations over the continuous canopy cover than the digital surface models (DSMs) generated using commercial software. The method using image classification information outperformed the commercial approach with respect to the ability to measure ground points in shadowed areas and in canopy gaps. The proposed method is of great interest in supporting automated interpretations of novel multi- and hyperspectral imaging technologies, especially when applied complex objects, such as forests.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Academy of FinlandUNESP São Paulo State UniversityFinnish Geospatial Research Institute, Masala, KirkkonummiUNESP São Paulo State UniversityFAPESP: 2013/17787-3FAPESP: 2013/50426-4FAPESP: 2014/24844-6Academy of Finland: 273806Universidade Estadual Paulista (Unesp)Finnish Geospatial Research InstituteOliveira, Raquel A. [UNESP]Tommaselli, Antonio M.G. [UNESP]Honkavaara, Eija2019-10-06T15:26:36Z2019-10-06T15:26:36Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article345-360http://dx.doi.org/10.1016/j.isprsjprs.2018.11.025ISPRS Journal of Photogrammetry and Remote Sensing, v. 147, p. 345-360.0924-2716http://hdl.handle.net/11449/18713710.1016/j.isprsjprs.2018.11.0252-s2.0-85057748832Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengISPRS Journal of Photogrammetry and Remote Sensinginfo:eu-repo/semantics/openAccess2021-10-23T16:36:54Zoai:repositorio.unesp.br:11449/187137Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T16:36:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
title |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
spellingShingle |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera Oliveira, Raquel A. [UNESP] Forest Hyperspectral 2D frame camera Hyperspectral digital surface model Image matching |
title_short |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
title_full |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
title_fullStr |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
title_full_unstemmed |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
title_sort |
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera |
author |
Oliveira, Raquel A. [UNESP] |
author_facet |
Oliveira, Raquel A. [UNESP] Tommaselli, Antonio M.G. [UNESP] Honkavaara, Eija |
author_role |
author |
author2 |
Tommaselli, Antonio M.G. [UNESP] Honkavaara, Eija |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Finnish Geospatial Research Institute |
dc.contributor.author.fl_str_mv |
Oliveira, Raquel A. [UNESP] Tommaselli, Antonio M.G. [UNESP] Honkavaara, Eija |
dc.subject.por.fl_str_mv |
Forest Hyperspectral 2D frame camera Hyperspectral digital surface model Image matching |
topic |
Forest Hyperspectral 2D frame camera Hyperspectral digital surface model Image matching |
description |
Miniaturised 2D frame format hyperspectral camera technology that is suitable for small unmanned aerial vehicles (UAVs) has entered the market, making the generation of hyperspectral digital surface models (HDSMs) feasible. HDSMs offer a rigorous approach to capturing the target spectral and 3D geometric data. The main objective of this investigation was to study and develop techniques for the generation of HDSMs in forest areas using novel hyperspectral 2D frame camera technologies. An approach based on object-space image matching was developed, adapting the traditional vertical line locus (VLL) method for HDSM generation; this was then named the hyperspectral VLL (HVLL) approach. Additionally, image classification was introduced into the processing chain in order to adapt the matching parameters, based on different classes. We also proposed a method for extracting the spectral and viewing angle information of the points. An empirical study was carried out using UAV datasets from tropical and boreal forests using 2D format hyperspectral cameras, based on tuneable Fabry-Pérot interferometer (FPI) technology. Quality assessment was performed using DSMs based on state-of-the-art commercial software and airborne laser scanning (ALS). The results showed that the proposed technique generated a high-quality HDSM in both tested environments. The HDSM had higher deviations over the continuous canopy cover than the digital surface models (DSMs) generated using commercial software. The method using image classification information outperformed the commercial approach with respect to the ability to measure ground points in shadowed areas and in canopy gaps. The proposed method is of great interest in supporting automated interpretations of novel multi- and hyperspectral imaging technologies, especially when applied complex objects, such as forests. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T15:26:36Z 2019-10-06T15:26:36Z 2019-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.isprsjprs.2018.11.025 ISPRS Journal of Photogrammetry and Remote Sensing, v. 147, p. 345-360. 0924-2716 http://hdl.handle.net/11449/187137 10.1016/j.isprsjprs.2018.11.025 2-s2.0-85057748832 |
url |
http://dx.doi.org/10.1016/j.isprsjprs.2018.11.025 http://hdl.handle.net/11449/187137 |
identifier_str_mv |
ISPRS Journal of Photogrammetry and Remote Sensing, v. 147, p. 345-360. 0924-2716 10.1016/j.isprsjprs.2018.11.025 2-s2.0-85057748832 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ISPRS Journal of Photogrammetry and Remote Sensing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
345-360 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965689981698048 |