D 2016

Analysis of visual interpretation of satellite data

SVATOŇOVÁ, Hana

Basic information

Original name

Analysis of visual interpretation of satellite data

Authors

SVATOŇOVÁ, Hana (203 Czech Republic, guarantor, belonging to the institution)

Edition

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

Publisher

International Society for Photogrammetry and Remote Sensing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14410/16:00092770

Organization unit

Faculty of Education

ISSN

DOI

UT WoS

000392747900108

Keywords in English

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

Tags

International impact, Reviewed
Změněno: 31/3/2017 15:14, Dana Nesnídalová

Abstract

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.

Links

MUNI/M/0846/2015, interní kód MU
Name: Vliv metod kartografické vizualizace na úspěšnost řešení praktických a výukových prostorových úloh
Investor: Masaryk University, Influence of cartographic visualization on solving practical and instructional space tasks, INTERDISCIPLINARY - Interdisciplinary research projects