Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hecheng JIA"'
Publikováno v:
Leida xuebao, Vol 13, Iss 2, Pp 457-470 (2024)
Synthetic Aperture Radar (SAR) is extensively utilized in civilian and military domains due to its all-weather, all-time monitoring capabilities. In recent years, deep learning has been widely employed to automatically interpret SAR images. However,
Externí odkaz:
https://doaj.org/article/472ce934c01c4734b83567713dc53fbf
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6016-6032 (2022)
Multiscale ship detection in large-scene offshore synthetic aperture radar (SAR) images is of great significance in civil and military fields, such as maritime management and wartime reconnaissance. Methods based on deep learning apply a deep neural
Externí odkaz:
https://doaj.org/article/a4ef31cd8fd64243855b93ad9307ed98
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3326 (2023)
Ship detection in low-quality Synthetic Aperture Radar (SAR) images poses a persistent challenge. Noise signals in complex environments disrupt imaging conditions, hindering SAR systems from acquiring precise target information, thereby significantly
Externí odkaz:
https://doaj.org/article/e533ba1faa164ce7b2a06b5cac354056
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7699-7713 (2021)
Airplane detection and recognition in the high-resolution remote sensing images (RSIs) remain a challenging task due to the factors of multiple view angles, multiple scales, multiple orientations, etc. This article proposes an adaptive component disc
Externí odkaz:
https://doaj.org/article/df69f4bc4710490ab955ca579643713b
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6077 (2022)
Due to the unique imaging mechanism of synthetic aperture radar (SAR), targets in SAR images often shows complex scattering characteristics, including unclear contours, incomplete scattering spots, attitude sensitivity, etc. Automatic aircraft detect
Externí odkaz:
https://doaj.org/article/9aef94653e0e4fdb8bbfafe3a4ad2033
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6338b479cfc163abecbbdaf0f34e2af
https://doi.org/10.1109/igarss46834.2022.9884868
https://doi.org/10.1109/igarss46834.2022.9884868
Publikováno v:
2022 IEEE 14th International Conference on Advanced Infocomm Technology (ICAIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf72458c86e6f06ebc200f1944fccf90
https://doi.org/10.1109/icait56197.2022.9862621
https://doi.org/10.1109/icait56197.2022.9862621
Publikováno v:
IGARSS
In the 2020 Gaofen Challenge on Automated High- Resolution Earth Observation Image Interpretation [1], there is a topic on airplane detection and recognition in optical images. The task is to detect and classify 10 types of civil airplanes, and the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8beab97ecb09463b51a07a079ccd90d2
https://doi.org/10.1109/igarss47720.2021.9554971
https://doi.org/10.1109/igarss47720.2021.9554971