Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Bihan Wen"'
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3024 (2024)
In this study, we tackle the task of road segmentation from Synthetic Aperture Radar (SAR) imagery, which is vital for remote sensing applications including urban planning and disaster management. Despite its significance, SAR-based road segmentation
Externí odkaz:
https://doaj.org/article/5e845311331d4113b0b3cf4017398ce7
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1878 (2023)
Synthetic aperture radar (SAR) provides an all-weather and all-time imaging platform, which is more reliable than electro-optical (EO) remote sensing imagery under extreme weather/lighting conditions. While many large-scale EO-based remote sensing da
Externí odkaz:
https://doaj.org/article/d84bce4d8f774b168c7c6c4a0607b766
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5833 (2022)
Researchers are focusing on the vulnerabilities of deep learning models for remote sensing; various attack methods have been proposed, including universal adversarial examples. Existing universal adversarial examples, however, are only designed to fo
Externí odkaz:
https://doaj.org/article/be3aebbb2deb454cbfd8ff0849e4ee36
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3579 (2022)
Selection of store sites is a common but challenging task in business practices. Picking the most desirable location for a future store is crucial for attracting customers and becoming profitable. The classic multi-criteria decision-making framework
Externí odkaz:
https://doaj.org/article/0f5a4e2ebb5c4d438f9444a02e24be02
Autor:
Bihan Wen, Zhangyang Wang
Publikováno v:
Micromachines, Vol 13, Iss 7, p 1030 (2022)
Recent advances in machine learning, from large-scale optimization to building deep neural networks, are increasingly being applied in the emerging field of computational sensing and imaging [...]
Externí odkaz:
https://doaj.org/article/bcc47bdfa75e48deaafbdbebff51e5f3
Publikováno v:
Micromachines, Vol 13, Iss 4, p 565 (2022)
X-ray imaging machines are widely used in border control checkpoints or public transportation, for luggage scanning and inspection. Recent advances in deep learning enabled automatic object detection of X-ray imaging results to largely reduce labor c
Externí odkaz:
https://doaj.org/article/29cf22bd80924ddb8f3e8222a27c3988
Publikováno v:
Polish Journal of Environmental Studies. 2023, Vol. 32 Issue 6, p5047-5060. 14p.
Publikováno v:
Neurocomputing. 529:140-151
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Learning the generalizable feature representation is critical for few-shot image classification. While recent works exploited task-specific feature embedding using meta-tasks for few-shot learning, they are limited in many challenging tasks as being
Publikováno v:
IEEE Signal Processing Magazine. 40:32-44