Zobrazeno 1 - 10
of 1 906
pro vyhledávání: '"WERNER, MARTIN"'
Autor:
Li, Hao, Deuser, Fabian, Yina, Wenping, Luo, Xuanshu, Walther, Paul, Mai, Gengchen, Huang, Wei, Werner, Martin
Nature disasters play a key role in shaping human-urban infrastructure interactions. Effective and efficient response to natural disasters is essential for building resilience and a sustainable urban environment. Two types of information are usually
Externí odkaz:
http://arxiv.org/abs/2408.06761
Databases are an essential component of modern computing infrastructures and allow efficient access to data stored persistently. Their structure depends on the type and relationships of the stored data elements and on the access pattern. Extending th
Externí odkaz:
http://arxiv.org/abs/2405.14947
Autor:
Hong, Danfeng, Zhang, Bing, Li, Hao, Li, Yuxuan, Yao, Jing, Li, Chenyu, Werner, Martin, Chanussot, Jocelyn, Zipf, Alexander, Zhu, Xiao Xiang
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e.g., single cities or regions). Yet these AI
Externí odkaz:
http://arxiv.org/abs/2309.16499
Retrieving relevant multimedia content is one of the main problems in a world that is increasingly data-driven. With the proliferation of drones, high quality aerial footage is now available to a wide audience for the first time. Integrating this foo
Externí odkaz:
http://arxiv.org/abs/2308.00982
Autor:
Li, Hao, Yuan, Zhendong, Dax, Gabriel, Kong, Gefei, Fan, Hongchao, Zipf, Alexander, Werner, Martin
Accurate building height estimation is key to the automatic derivation of 3D city models from emerging big geospatial data, including Volunteered Geographical Information (VGI). However, an automatic solution for large-scale building height estimatio
Externí odkaz:
http://arxiv.org/abs/2307.02574
Autor:
Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Züfle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Seok, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Teng, Xu, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, Zimányi, Esteban
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent ye
Externí odkaz:
http://arxiv.org/abs/2307.05717
Autor:
Zhu, Xiao Xiang, Wang, Yuanyuan, Kochupillai, Mrinalini, Werner, Martin, Häberle, Matthias, Hoffmann, Eike Jens, Taubenböck, Hannes, Tuia, Devis, Levering, Alex, Jacobs, Nathan, Kruspe, Anna, Abdulahhad, Karam
As unconventional sources of geo-information, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multi-perspective stream, but with unknown and diverse quality. Due to its complementarit
Externí odkaz:
http://arxiv.org/abs/2211.00543