Analysis of visual interpretation of satellite data

D 2016

Analysis of visual interpretation of satellite data

SVATOŇOVÁ, Hana

Základní údaje

Originální název

Analysis of visual interpretation of satellite data

Autoři

SVATOŇOVÁ, Hana (203 Česká republika, garant, domácí)

Vydání

1. vyd. Gottingen, Germany, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, od s. 675-681, 7 s. 2016

Nakladatel

International Society for Photogrammetry and Remote Sensing

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14410/16:00092770

Organizační jednotka

Pedagogická fakulta

ISSN

DOI

http://dx.doi.org/10.5194/isprsarchives-XLI-B2-675-2016

UT WoS

000392747900108

Klíčová slova anglicky

Cognition; Fitness for use; Human factors; Perception; Usability; User experiments; Visual analytics

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 31. 3. 2017 15:14, Dana Nesnídalová

Anotace

V originále

Millions of people of all ages and expertise are using satellite and aerial data as an important input for their work in many different fields. Satellite data are also gradually finding a new place in education, especially in the fields of geography and in environmental issues. The article presents the results of an extensive research in the area of visual interpretation of image data carried out in the years 2013 - 2015 in the Czech Republic. The research was aimed at comparing the success rate of the interpretation of satellite data in relation to a) the substrates (to the selected colourfulness, the type of depicted landscape or special elements in the landscape) and b) to selected characteristics of users (expertise, gender, age). The results of the research showed that (1) false colour images have a slightly higher percentage of successful interpretation than natural colour images, (2) colourfulness of an element expected or rehearsed by the user (regardless of the real natural colour) increases the success rate of identifying the element (3) experts are faster in interpreting visual data than non-experts, with the same degree of accuracy of solving the task, and (4) men and women are equally successful in the interpretation of visual image data.

Návaznosti

MUNI/M/0846/2015, interní kód MU

Název: Vliv metod kartografické vizualizace na úspěšnost řešení praktických a výukových prostorových úloh

Investor: Masarykova univerzita, Vliv metod kartografické vizualizace na úspěšnost řešení praktických a výukových prostorových úloh, INTERDISCIPLINARY - Mezioborové výzkumné projekty

Citovat

SVATOŇOVÁ, Hana. Analysis of visual interpretation of satellite data. In Brazdil K.,Cheng T.,Shi W.,Tong X.,Liu Y.,Pettit C.,Safar V.,Li S.,Madden M.,Brovelli M.A.,Coltekin A.,Anton F.,Stein A.,Li Q.-Q.,Sester M.,Kawashima H.,Tomkova M.,Rapant P.,HaeKyong K.,Halounova L.,Mostafavi M.A. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 1. vyd. Gottingen, Germany: International Society for Photogrammetry and Remote Sensing, 2016, s. 675-681. ISSN 2194-9034. Dostupné z: https://dx.doi.org/10.5194/isprsarchives-XLI-B2-675-2016.

@inproceedings{1367283,
   author = {Svatoňová, Hana},
   address = {Gottingen, Germany},
   booktitle = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
   doi = {http://dx.doi.org/10.5194/isprsarchives-XLI-B2-675-2016},
   edition = {1. vyd.},
   editor = {Brazdil K.,Cheng T.,Shi W.,Tong X.,Liu Y.,Pettit C.,Safar V.,Li S.,Madden M.,Brovelli M.A.,Coltekin A.,Anton F.,Stein A.,Li Q.-Q.,Sester M.,Kawashima H.,Tomkova M.,Rapant P.,HaeKyong K.,Halounova L.,Mostafavi M.A.},
   keywords = {Cognition; Fitness for use; Human factors; Perception; Usability; User experiments; Visual analytics},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Gottingen, Germany},
   pages = {675-681},
   publisher = {International Society for Photogrammetry and Remote Sensing},
   title = {Analysis of visual interpretation of satellite data},
   year = {2016}
}

TY  - JOUR
ID  - 1367283
AU  - Svatoňová, Hana
PY  - 2016
TI  - Analysis of visual interpretation of satellite data
PB  - International Society for Photogrammetry and Remote Sensing
CY  - Gottingen, Germany
KW  - Cognition
KW  - Fitness for use
KW  - Human factors
KW  - Perception
KW  - Usability
KW  - User experiments
KW  - Visual analytics
N2  - Millions of people of all ages and expertise are using satellite and aerial data as an important input for their work in many different fields. Satellite data are also gradually finding a new place in education, especially in the fields of geography and in environmental issues. The article presents the results of an extensive research in the area of visual interpretation of image data carried out in the years 2013 - 2015 in the Czech Republic. The research was aimed at comparing the success rate of the interpretation of satellite data in relation to a) the substrates (to the selected colourfulness, the type of depicted landscape or special elements in the landscape) and b) to selected characteristics of users (expertise, gender, age). The results of the research showed that (1) false colour images have a slightly higher percentage of successful interpretation than natural colour images, (2) colourfulness of an element expected or rehearsed by the user (regardless of the real natural colour) increases the success rate of identifying the element (3) experts are faster in interpreting visual data than non-experts, with the same degree of accuracy of solving the task, and (4) men and women are equally successful in the interpretation of visual image data.
ER  -

SVATOŇOVÁ, Hana. Analysis of visual interpretation of satellite data. In Brazdil K.,Cheng T.,Shi W.,Tong X.,Liu Y.,Pettit C.,Safar V.,Li S.,Madden M.,Brovelli M.A.,Coltekin A.,Anton F.,Stein A.,Li Q.-Q.,Sester M.,Kawashima H.,Tomkova M.,Rapant P.,HaeKyong K.,Halounova L.,Mostafavi M.A. \textit{International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives}. 1. vyd. Gottingen, Germany: International Society for Photogrammetry and Remote Sensing, 2016, s.~675-681. ISSN~2194-9034. Dostupné z: https://dx.doi.org/10.5194/isprsarchives-XLI-B2-675-2016.

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