Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Shiyang Tang"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTRapidly estimating post-disaster building damage via high-resolution remote sensing (HRRS) imagery is essential for initial disaster relief. However, the complex appearance of building damage poses challenges for existing methods. Specificall
Externí odkaz:
https://doaj.org/article/d0e5a7e492604600ae4a9926b69d2da5
Autor:
Jiahao Han, Shiyang Tang, Zhanye Chen, Yi Ren, Zhixin Lian, Ping Guo, Yinan Li, Linrang Zhang, Hing Cheung So
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15148-15165 (2024)
As an important supplement to traditional airborne synthetic aperture radar (SAR), multirotor unmanned aerial vehicle (UAV) SAR has the advantages of low cost, high flexibility, and strong survival ability. However, due to the complex motion and flig
Externí odkaz:
https://doaj.org/article/4758e477e902489db46b5280b1b1f84f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9606-9621 (2023)
Unlike the traditional multichannel synthetic aperture radar (SAR) 3-D reconstruction technology, the single-channel SAR with two synthetic apertures in the vertical and horizontal planes, realized by curved trajectory, has the advantages of requirin
Externí odkaz:
https://doaj.org/article/210abd55b1f04f86b2b656e30843d8d9
Publikováno v:
Electronics Letters, Vol 58, Iss 13, Pp 508-510 (2022)
Abstract Synthetic aperture radar (SAR) image similarity metric is at the core of SAR image interpretation techniques, however, it is still a challenging task due to complex nonlinear intensity, scale, and rotation differences between SAR images and
Externí odkaz:
https://doaj.org/article/7f3e73160bec4d30979fb9d714c49b02
Autor:
Xintian Zhang, Shiyang Tang, Yi Ren, Jiahao Han, Chenghao Jiang, Juan Zhang, Yinan Li, Tong Jiang, Qi Dong
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3700 (2023)
Airborne synthetic aperture radar (SAR) is susceptible to atmospheric disturbance and other factors that cause the position offset error of the antenna phase center and motion error. In close-range detection scenarios, the large elevation angle may m
Externí odkaz:
https://doaj.org/article/061221827cf140deb2b5c43a32e2a8da
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 476 (2023)
The automotive synthetic aperture radar (SAR) can obtain two-dimensional (2-D) high-resolution images and has good robustness compared with the other sensors. Generally, the 2-D high-resolution always conflicts with the real-time requirement in conve
Externí odkaz:
https://doaj.org/article/29c3315e105e4d2ba5d9f8a3038ed2cc
Publikováno v:
IEEE Access, Vol 7, Pp 12097-12113 (2019)
Detection of high-speed maneuvering targets has attracted a great deal of attention recently. There are two main problems to be solved: improving detection ability under the condition of complicated range migration and Doppler frequency migration eff
Externí odkaz:
https://doaj.org/article/2c8fb8fc151641b3b646b501d86364b8
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4091 (2022)
With the rapid development of high-resolution synthetic aperture radar (SAR) systems, the technique that utilizes multiple two-dimensional (2-D) SAR images with different view angles to extract three-dimensional (3-D) coordinates of targets has gaine
Externí odkaz:
https://doaj.org/article/ba305908855c42848313b96d98842798
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2907 (2022)
In this paper, a diverse-region hyperspectral image classification (DRHy) method is proposed by considering both irregularly local pixels and globally contextual connections between pixels. Specifically, the proposed method is operated on non-Euclide
Externí odkaz:
https://doaj.org/article/b4e33a8144964873a2d65604e221bfd6
Autor:
Yi Ren, Shiyang Tang, Qi Dong, Guoliang Sun, Ping Guo, Chenghao Jiang, Jiahao Han, Linrang Zhang
Publikováno v:
Remote Sensing, Vol 14, Iss 11, p 2670 (2022)
For unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) imaging, motion errors cannot be obtained accurately when high precision motion sensors are not equipped on the platform. This means that traditional data-based motion compensation (MOC
Externí odkaz:
https://doaj.org/article/86044b72af2546f4bb2bb86c4f6f73da