Статья

A geospatial image based eye movement dataset for cartography and GIS

Bing HeState Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, and Faculty of Geographical Science, Beijing Normal University, ChinaWeihua DongState Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, and Faculty of Geographical Science, Beijing Normal University, ChinaHua LiaoCollege of Resources and Environmental Sciences, Hunan Normal University, Changsha, Hunan, ChinaQi YingState Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, and Faculty of Geographical Science, Beijing Normal University, ChinaBowen ShiState Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, and Faculty of Geographical Science, Beijing Normal University, ChinaJiping LiuResearch Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing, ChinaYong WangResearch Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing, China

2023en

ABI

Аннотация

Eye movement is a new type of data for cartography and geographic information science (GIS) research. However, previous studies rarely built eye movement datasets with geospatial images. In this paper, we firstly proposed a geospatial image-based eye movement dataset called GeoEye, a publicly shared, widely available eye movement dataset. This dataset consists of 110 college-aged participants who freely viewed 500 images, including thematic maps, remote sensing images, and street view images. In addition, we used the dataset for geospatial image saliency prediction and map user identification. Results demonstrated the scientific benefits and applications of the proposed dataset. GeoEye dataset will not only promote the application of eye-tracking data in cartography and GIS research but also intelligence and customization of geographic information services.

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Идентификаторы

DOI: 10.1080/15230406.2022.2153172

Цитирования и источники

Цитирований: 2Использованных источников: 0

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