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description Publicationkeyboard_double_arrow_right Other literature type , Conference object , Article 2018 Switzerland, Italy, Sweden, FrancePublisher:Copernicus GmbH F. Menna; E. Nocerino; E. Nocerino; E. Nocerino; P. Drap; F. Remondino; A. Murtiyoso; P. Grussenmeyer; N. Börlin;An underwater imaging system with camera and lens behind a flat port does not behave as a standard pinhole camera with additional parameters. Indeed, whenever the entrance pupil of the lens is not in contact with the flat port, the standard photogrammetric model is not suited anymore and an extended mathematical model that considers the different media would be required. Therefore, when dealing with flat ports, the use of the classic photogrammetric formulation represents a simplification of the image formation phenomenon, clearly causing a degradation in accuracy. Furthermore, flat ports significantly change the characteristics of the enclosed imaging device and negatively affect the image quality, introducing heavy curvilinear distortions and optical aberrations. With the aim of mitigating the effect of systematic errors introduced by a combination of (i) image quality degradation, induced by the flat ports, and (ii) a non-rigorous modelling of refraction, this paper presents a stochastic model for image observations that penalises those that are more affected by aberrations and departure from the pinhole model. Experiments were carried out at sea and in pools showing that the use of the proposed stochastic model is beneficial for the final accuracy with improvements up to 50 %. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2 ISSN:2194-9034 ISSN:1682-1777 ISSN:1682-1750
Research Collection arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer från Umeå universitet; Digitala Vetenskapliga Arkivet - Academic Archive On-lineConference object . 2018 . Peer-reviewedunivOAK; ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . Conference object . 2018HAL-Inserm; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019Full-Text: https://hal.science/hal-02124842/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlii-2-699-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Research Collection arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer från Umeå universitet; Digitala Vetenskapliga Arkivet - Academic Archive On-lineConference object . 2018 . Peer-reviewedunivOAK; ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . Conference object . 2018HAL-Inserm; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019Full-Text: https://hal.science/hal-02124842/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlii-2-699-2018&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Other literature type , Conference object , Article 2018 Switzerland, Italy, Sweden, FrancePublisher:Copernicus GmbH F. Menna; E. Nocerino; E. Nocerino; E. Nocerino; P. Drap; F. Remondino; A. Murtiyoso; P. Grussenmeyer; N. Börlin;An underwater imaging system with camera and lens behind a flat port does not behave as a standard pinhole camera with additional parameters. Indeed, whenever the entrance pupil of the lens is not in contact with the flat port, the standard photogrammetric model is not suited anymore and an extended mathematical model that considers the different media would be required. Therefore, when dealing with flat ports, the use of the classic photogrammetric formulation represents a simplification of the image formation phenomenon, clearly causing a degradation in accuracy. Furthermore, flat ports significantly change the characteristics of the enclosed imaging device and negatively affect the image quality, introducing heavy curvilinear distortions and optical aberrations. With the aim of mitigating the effect of systematic errors introduced by a combination of (i) image quality degradation, induced by the flat ports, and (ii) a non-rigorous modelling of refraction, this paper presents a stochastic model for image observations that penalises those that are more affected by aberrations and departure from the pinhole model. Experiments were carried out at sea and in pools showing that the use of the proposed stochastic model is beneficial for the final accuracy with improvements up to 50 %. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2 ISSN:2194-9034 ISSN:1682-1777 ISSN:1682-1750
Research Collection arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer från Umeå universitet; Digitala Vetenskapliga Arkivet - Academic Archive On-lineConference object . 2018 . Peer-reviewedunivOAK; ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . Conference object . 2018HAL-Inserm; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019Full-Text: https://hal.science/hal-02124842/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlii-2-699-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Research Collection arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2018 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer från Umeå universitet; Digitala Vetenskapliga Arkivet - Academic Archive On-lineConference object . 2018 . Peer-reviewedunivOAK; ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . Conference object . 2018HAL-Inserm; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019Full-Text: https://hal.science/hal-02124842/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlii-2-699-2018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu