Benchmark sessions are an efficient tool for sharing best practices as regards surveying, data processing and presentation of results within a scientific community. The Italian Society of Photogrammetry and Topography (SIFET) introduced this particular type of session in its annual national conference starting in 2016. This article reports some considerations that emerged from the positive experience of the 2019 benchmark sessions held in Venice on the underwater photogrammetry topic. In addition to some interesting results, the advantages of analyzing the results obtained by different and heterogeneous groups, as regards training and software and hardware tools exploited, starting from the same dataset are highlighted.

UNDERWATER PHOTOGRAMMETRY: POTENTIALITIES AND PROBLEMS RESULTS OF THE BENCHMARK SESSION OF THE 2019 SIFET CONGRESS / Ballarin, Martina.; Costa, Elisa.; Piemonte, Andrea.; Piras, Marco.; Teppati Losè, Lorenzo.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 2194-9034. - ELETTRONICO. - XLIII-B2-2020:(2020), pp. 925-931. [10.5194/isprs-archives-XLIII-B2-2020-925-2020]

UNDERWATER PHOTOGRAMMETRY: POTENTIALITIES AND PROBLEMS RESULTS OF THE BENCHMARK SESSION OF THE 2019 SIFET CONGRESS

Piras, Marco.;Teppati Losè, Lorenzo.
2020

Abstract

Benchmark sessions are an efficient tool for sharing best practices as regards surveying, data processing and presentation of results within a scientific community. The Italian Society of Photogrammetry and Topography (SIFET) introduced this particular type of session in its annual national conference starting in 2016. This article reports some considerations that emerged from the positive experience of the 2019 benchmark sessions held in Venice on the underwater photogrammetry topic. In addition to some interesting results, the advantages of analyzing the results obtained by different and heterogeneous groups, as regards training and software and hardware tools exploited, starting from the same dataset are highlighted.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2846213