DISASTER DAMAGE INVESTIGATION USING ARTIFICIAL INTELLIGENCE AND DRONE MAPPING

Autor: S. S. Kim, D. Y. Shin, E. T. Lim, Y. H. Jung, S. B. Cho

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1109-1114 (2022)

This study aims to testify the applicability of UAV photogrammetry and artificial intelligence (AI) for the management of natural disaster. Recently artificial intelligence is considered as an emerging tool for recognizing disaster events from aerial

Externí odkaz: https://doaj.org/article/bcf296d6afdd4c87a3ed2f150a8acee9

SMALL UAVS-BASED DISASTER DAMAGE INVESTIGATION: FOCUSED ON FLOODING DISASTER AND CHEMICAL ACCIDENT

Autor: E. T. Lim, Y. H. Jung, D. Y. Shin, S. S. Kim

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1121-1126 (2022)

Disasters that occur in recent years are linked to various factors and occur in a chain, and the scale is also increasing. In order to solve the more complex and serious disaster problem, it is necessary to expand the affect scope of the disaster and

Externí odkaz: https://doaj.org/article/399bd62cc71b4f99ba27738f925e4e29

GEOCMS: TOWARDS A GEO-TAGGED MEDIA MANAGEMENT SYSTEM

Autor: J. Y. Park, Y.-H. Jung, W. Ding, K. W. Nam

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W14, Pp 185-188 (2019)

In this paper, we propose the design and implementation of the new geo-tagged media management system. A large amount of daily geo-tagged media data generated by user’s smart phone, mobile device, dash cam and camera. Geo-tagged media, such as geov

Externí odkaz: https://doaj.org/article/d366be3d82bb47fabb21ae18e972baf8

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