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2019 ◽  
Vol 11 (24) ◽  
pp. 2887 ◽  
Author(s):  
Jiyuan Hu ◽  
Jiming Guo ◽  
Yi Xu ◽  
Lv Zhou ◽  
Shuai Zhang ◽  
...  

Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring.


Author(s):  
Takeru Hashimoto ◽  
Takuji Narumi ◽  
Ryohei Nagao ◽  
Tomohiro Tanikawa ◽  
Michitaka Hirose

Author(s):  
Matthias Hoppe ◽  
Robin Boldt ◽  
Jan Strauß ◽  
Lars Lischke ◽  
Dominik Weber ◽  
...  

Author(s):  
Eugene Borovikov ◽  
Szilárd Vajda ◽  
Girish Lingappa ◽  
Michael C Bonifant

Modern digital photo collections contain vast multitudes of high-resolution color images, many containing faces, which are desirable to retrieve visually. This poses a problem for effective image browsing and calls for efficient Content Based Image Retrieval (CBIR) capabilities ensuring near-instantaneous visual query turn-around. This in turn necessitates parallelization of many existing image processing and information retrieval algorithms that can no longer satisfy the modern user demands, when executed sequentially. Hence a practical approach to Face Image Retrieval (FIR) is presented. It utilizes multi-core processing architectures to implement its major modules (e.g. face detection and matching) efficiently without sacrificing the image retrieval accuracy. The integration of FIR into a web-based family reunification system demonstrates the practicality of the proposed method. Several accuracy and speed evaluations on real-word data are presented and possible CBIR extensions are discussed.


Information ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 45 ◽  
Author(s):  
Han Oh ◽  
Ali Bilgin ◽  
Michael Marcellin
Keyword(s):  

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