Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Tianjun Shi"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15009-15023 (2024)
Ship identification in optical remote sensing images is essential for a wide range of civil and military applications, including maritime rescue, port management, and sea area surveillance. However, current studies focus mainly on ship detection or c
Externí odkaz:
https://doaj.org/article/1ccfcfd1a0334c44b20922deb8b7394a
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The rotating synthetic aperture (RSA) optical imaging system employs a rectangular primary mirror for detection. During the imaging process, the primary mirror rotates around the center to achieve the aperture equivalent to the long side of
Externí odkaz:
https://doaj.org/article/867ae85ae05b40e58aebb741ea33eb90
Autor:
Pengfei Zhang, Jinnan Gong, Shikai Jiang, Tianjun Shi, Jiawei Yang, Guangzhen Bao, Xiyang Zhi
Publikováno v:
Results in Physics, Vol 56, Iss , Pp 107262- (2024)
High-definition remote sensing images have been widely used in many fields such as urban planning and resource exploration. Due to the impact of imaging links, the quality of images produced by remote sensing platforms often deteriorates. Therefore,
Externí odkaz:
https://doaj.org/article/6e408816efb142689f4ac93ff83e29d6
Autor:
Yu Sun, Xiyang Zhi, Shikai Jiang, Tianjun Shi, Jiachun Song, Jiawei Yang, Shengao Wang, Wei Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1508 (2024)
The emerging technology of rotating synthetic aperture (RSA) presents a promising solution for the development of lightweight, large-aperture, and high-resolution optical remote sensing systems in geostationary orbit. However, the rectangular shape o
Externí odkaz:
https://doaj.org/article/9a75053f3eed4878b17c52fc462ae40d
Publikováno v:
Sensors, Vol 23, Iss 13, p 6037 (2023)
The growing intelligence and prevalence of drones have led to an increase in their disorderly and illicit usage, posing substantial risks to aviation and public safety. This paper focuses on addressing the issue of drone detection through surveillanc
Externí odkaz:
https://doaj.org/article/6754e0e5505d478da1309f3ae018a5bb
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 688 (2023)
The novel rotating synthetic aperture (RSA) is a new optical imaging system that uses the method of rotating the rectangular primary mirror for dynamic imaging. It has the advantage of being lightweight, with no need for splicing and real-time surfac
Externí odkaz:
https://doaj.org/article/272576a189b84fb6b75ccda356c16c0e
Autor:
Tianjun Shi, Jinnan Gong, Jianming Hu, Xiyang Zhi, Wei Zhang, Yin Zhang, Pengfei Zhang, Guangzheng Bao
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5488 (2022)
Compared with anchor-based detectors, anchor-free detectors have the advantage of flexibility and a lower calculation complexity. However, in complex remote sensing scenes, the limited geometric size, weak features of objects, and widely distributed
Externí odkaz:
https://doaj.org/article/683e394220884a19af9473f0db1e523d
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4840 (2021)
Due to the complexity of scene interference and the variability of ship scale and position, automatic ship detection in remote sensing images makes for challenging research. The existing deep networks rarely design receptive fields that fit the targe
Externí odkaz:
https://doaj.org/article/9d0c90c3b19642088137b78e36a14fe6
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3059 (2021)
The YOLO network has been extensively employed in the field of ship detection in optical images. However, the YOLO model rarely considers the global and local relationships in the input image, which limits the final target prediction performance to a
Externí odkaz:
https://doaj.org/article/7d631944189244ba8f689143f21ef067
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 6037
The growing intelligence and prevalence of drones have led to an increase in their disorderly and illicit usage, posing substantial risks to aviation and public safety. This paper focuses on addressing the issue of drone detection through surveillanc