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CANet: A Spatial Structure Constraint and Local Semantic Awareness Based Network for Weakly Supervised Building Extraction
Siyuan Wang;Zhenfeng Shao;Dongyang Hou;Yu Wang;Jinyang Wang;Bowen Cai
Benefitting from the easy availability of image-level labels, weakly supervised semantic segmentation (WSSS) methods based on class activation maps (CAMs) have made significant progress in building extraction from remote sensing imagery. However, image-level labels lack precise spatial locations and boundary ranges of buildings, posing challenges in achieving comprehensive and structurally clear b...Show More
MF-BHNet: A Hybrid Multimodal Fusion Network for Building Height Estimation Using Sentinel-1 and Sentinel-2 Imagery
Siyuan Wang;Bowen Cai;Dongyang Hou;Qing Ding;Jiaming Wang;Zhenfeng Shao
Integrated Sentinel-1 synthetic aperture radar (SAR) imagery and Sentinel-2 optical imagery have shown great promise in mapping large-scale building height. Effectively fusing the complementary features of SAR and optical imagery is a key challenge in enhancing the building height estimation performance. However, SAR imagery and optical imagery have significant heterogeneity, which makes obtaining...Show More
Tree-ORAP: A Tree-Based Oblivious Random-Access Protocol for Privacy-Protected Blockchain
Youshui Lu;Bowen Cai;Xiaojun Tang;Lei Liu;Jun Du;Shui Yu;Mohammed Atiquzzaman;Schahram Dustdar
Since the introduction of Bitcoin in 2008, blockchain technology has found widespread applications across various domains. While blockchain offers convenience and immense research value, it also raises privacy and security concerns among users and society at large. Notably, numerous studies have demonstrated the vulnerability of blockchain anonymity. Existing solutions based on bloom filters and S...Show More
An array calibration method based on iterative weighted least squares in radio astronomy
IET International Radar Conference (IRC 2023)
Year: 2023 | Conference Paper |
This paper focuses on array calibration in presence of noise in radio astronomy, involving estimating the time delay between different receiving channels. The received signals are modelled as complex Gaussian white noise with an under-estimated time delay between channels. A novel time delay estimation method is proposed, which utilizes an iterative weighted least squares method to the phase diffe...Show More
Identification of Active Jamming Based on Swin Transformer Model and Splitting Features
2022 IEEE 22nd International Conference on Communication Technology (ICCT)
Year: 2022 | Conference Paper |
With the continuous development of Digital Radio Frequency Memory (DRFM) technology, radar working condition is seriously threatened by various activate jamming, echo of true target will be mixed or covered by jamming. In this condition, splitting features extracted by modulating splitting code into the process of pulse compression present greatly difference between true target and jamming, and th...Show More
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