A simultaneous EEG and eye-tracking dataset for remote sensing object detection

被引：0

作者：

Bing He ^{[1
]}

Hongqiang Zhang ^{[1
]}

Tong Qin ^{[2
]}

Bowen Shi ^{[3
]}

Qiao Wang ^{[1
]}

Weihua Dong ^{[1
]}

机构：

[1] Beijing Normal University,Advanced Interdisciplinary Institute of Satellite Applications, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science

[2] Ghent University,Research Group CartoGIS, Department of Geography

[3] The Hong Kong Polytechnic University,Department of Land Surveying and Geo

来源：

Scientific Data | / 12卷 / 1期

关键词：

D O I：

10.1038/s41597-025-04995-w

中图分类号：

学科分类号：

摘要：

We introduce the EEGET-RSOD, a simultaneous electroencephalography (EEG) and eye-tracking dataset for remote sensing object detection. This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specific objects in 1,000 remote sensing images within a limited time frame. This task reflects the typical cognitive processes associated with human visual search and object identification in remote sensing imagery. To our knowledge, EEGET-RSOD is the first publicly available dataset to offer synchronized eye-tracking and EEG data for remote sensing images. This dataset will not only advance the study of human visual cognition in real-world environment, but also bridge the gap between human cognition and artificial intelligence, enhancing the interpretability and reliability of AI models in geospatial applications.

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