Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Chaoyang Niu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1638-1655 (2025)
Synthetic aperture radar (SAR) automatic target recognition (ATR) systems based on deep neural network models are vulnerable to adversarial examples. Existing SAR adversarial attack algorithms require access to the network structure, parameters, and
Externí odkaz:
https://doaj.org/article/4460a0a33a4c4a9faf5e9c1eb95a0c7d
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 714-729 (2024)
The field of Synthetic Aperture Radar Automatic Target Recognition (SAR-ATR) lacks effective black-box attack algorithms. Therefore, this research proposes a migration-based black-box attack algorithm by combining the idea of the Momentum Iterative F
Externí odkaz:
https://doaj.org/article/6e8d817c70d448bebd5227bb648f4af6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8673-8696 (2024)
Synthetic aperture radar automatic target recognition (SAR-ATR) models based on deep neural networks (DNNs) are vulnerable to attacks of adversarial examples. Universal adversarial attack algorithms can help evaluate and improve the robustness of the
Externí odkaz:
https://doaj.org/article/77f6375e1bbb42519fb1fc0e7be8ca24
Publikováno v:
Journal of Materials Research and Technology, Vol 26, Iss , Pp 1922-1937 (2023)
Deformation twins act as one of the deformation characteristics of hexagonal close packed (HCP) materials and occur during machining of Ti–6Al–4V alloy. To clarify the hardening mechanisms of deformation twins in Ti–6Al–4V machined surface, w
Externí odkaz:
https://doaj.org/article/e05b54a8c83546e38d472e14d5951a88
Publikováno v:
International Journal of Aerospace Engineering, Vol 2024 (2024)
The study investigates the problem of collaborative target search by multiple unmanned aerial vehicles (UAVs) under the condition of communication information corruption. The problem involves the influence of target movement and environmental obstacl
Externí odkaz:
https://doaj.org/article/af950e071a2b4c489c1338b83136686d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1211-1231 (2023)
The object detection of unmanned aerial vehicle (UAV) images has widespread applications in numerous fields; however, the complex background, diverse scales, and uneven distribution of objects in UAV images make object detection a challenging task. T
Externí odkaz:
https://doaj.org/article/fdbb51c46f824e46a17513bbed48f89e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9746-9759 (2022)
Landslide detection based on remote sensing images is an effective method for rapidly and accurately detecting landslide regions, which can aid in disaster prevention and mitigation. Landslide detection methods based on semantic segmentation can be u
Externí odkaz:
https://doaj.org/article/76153e99f7f64ea39faa6c75b34ed429
High-Quality Object Detection Method for UAV Images Based on Improved DINO and Masked Image Modeling
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4740 (2023)
The extensive application of unmanned aerial vehicle (UAV) technology has increased academic interest in object detection algorithms for UAV images. Nevertheless, these algorithms present issues such as low accuracy, inadequate stability, and insuffi
Externí odkaz:
https://doaj.org/article/a85f3953fe964b5bbce6152ce8d30f5b
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3393 (2023)
Fine-grained classification of ship targets is an important task in remote sensing, having numerous applications in military reconnaissance and sea surveillance. Due to the influence of various imaging factors, ship targets in remote sensing images h
Externí odkaz:
https://doaj.org/article/04bbbe355bc14055936db50bc925ad6d
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6362 (2022)
Change detection using synthetic aperture radar (SAR) multi-temporal images only detects the change area and generates no information such as change type, which limits its development. This study proposed a new unsupervised application of SAR images
Externí odkaz:
https://doaj.org/article/aaafc620900c4b5da7184bfe10fb30e9