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Refining the Interior Orientation of a Hyperspectral Frame Camera With Preliminary Bands Co-Registration

Identificadores del recurso

http://dx.doi.org/10.1109/JSTARS.2019.2911547

Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 12, n. 7, p. 2097-2106, 2019.

1939-1404

http://hdl.handle.net/11449/186013

10.1109/JSTARS.2019.2911547

WOS:000480354800010

2985771102505330

0000-0003-0516-0567

Procedencia

(LA Referencia)

Ficha

Título:: Refining the Interior Orientation of a Hyperspectral Frame Camera With Preliminary Bands Co-Registration
Tema:: Calibration; hyperspectral sensors; image registration; unmanned aerial vehicles (UAVs)
Descripción:: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Academy of Finland; Processo FAPESP: 2013/50426-4; CNPq: 307554/2014-7; CNPq: 404379/2016-8; Academy of Finland: 305994; Lightweight hyperspectral sensors carried by unmanned aerial vehicles (UAVs) are becoming powerful remote sensing tools for several applications, for example, forestry and agriculture. Sequential frame acquisition by scanning the spectral bands with tunable Fabry-Perot interferometer (FPI) is one of the technologies suitable for these applications. The accurate co-registration of the individual bands to produce a hypercube and the bundle adjustment of all bands are still challenging tasks. Because of the geometry and internal optical components of this kind of camera, modeling of the interior geometry of the image bands requires more than a single set of interior orientation parameters (IOP). This paper developed a new method that applies a preliminary two-dimensional (2-D) geometric transformation to co-register all bands, based on projective parameters estimated during the calibration process. This preprocessing avoids the use of several sets of IOPs, simplifying the computation of image orientation with bundle adjustment. Experiments using a close range calibration setup and a UAV-based aerial image block showed that the new method was effective and improved the accuracy of the three-dimensional (3-D) point determination. Accuracy of one times ground sample distance (GSD) in horizontal coordinates and 1.2 GSD in height coordinate was achieved in the bundle adjustment using a single set of IOPs.
Fuente:: reponame:Repositório Institucional da UNESP; instname:Universidade Estadual Paulista (UNESP); instacron:UNESP
Idioma:: English
Relación:: Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing
Autor/Productor:: Garcia Tommaselli, Antonio Maria; Santos, Lucas Dias; Oliveira, Raquel Alves de; Berveglieri, Adilson; Imai, Nilton Nobuhiro; Honkavaara, Eija
Editor:: Ieee-inst Electrical Electronics Engineers Inc
Otros colaboradores/productores:: Universidade Estadual Paulista (UNESP)
Derechos:: info:eu-repo/semantics/openAccess
Fecha:: 2019-10-04T12:40:29Z; 2019-07-01
Tipo de recurso:: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion
Formato:: 2097-2106
About:: 2021-10-22T18:13:20Zhttp://www.openarchives.org/OAI/2.0/oai_dc/Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)

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