Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Xingsong HOU"'
Autor:
Zhongyuan JIANG, Sen WANG, Qizhou WANG, Xiangyong CAO, Xingsong HOU, Lei LEI, Dongwei SUN, Xinghua LI, Jianfeng MA
Publikováno v:
天地一体化信息网络, Vol 5, Pp 60-75 (2024)
Firstly, the current situation of satellite remote sensing, communication, and computing systems was systematically analyzed, and the real-time remote sensing dilemma existing in the traditional satellite remote sensing systems and the satellite remo
Externí odkaz:
https://doaj.org/article/ea515607031e49ccb93ec5cd15fea5bc
Autor:
Hong Liu, Bingliang Hu, Xingsong Hou, Tao Yu, Zhoufeng Zhang, Xiao Liu, Jiacheng Liu, Xueji Wang
Publikováno v:
Drones, Vol 8, Iss 7, p 329 (2024)
Differences in field of view may occur during unmanned aerial remote sensing imaging applications with acousto-optic tunable filter (AOTF) spectral imagers using zoom lenses. These differences may stem from image size deformation caused by the zoom l
Externí odkaz:
https://doaj.org/article/bf1d78fb65be4e8aaa46e16f7d45a9e6
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1478-1492 (2023)
Abstract This paper proposed an image compression‐encryption scheme based on compressive sensing theory, which achieves high security, strong robustness, and high rate‐distortion performance. First, the denoising preprocessing strategy is applied
Externí odkaz:
https://doaj.org/article/4a45834442a34724af7db19d78d7bbc2
Publikováno v:
Electronics Letters, Vol 59, Iss 10, Pp n/a-n/a (2023)
Abstract Both global dependency and local correlation are crucial for solving the scale variation of crowd. However, most of previous methods fail to take two factors into consideration simultaneously. Against the aforementioned issue, a deformable c
Externí odkaz:
https://doaj.org/article/587e51c7686e480183bc869d6552ea43
Publikováno v:
IEEE Access, Vol 10, Pp 29528-29542 (2022)
Non-local modules have been widely studied in image restoration (IR) tasks since they can learn long-range dependencies to enhance local features. However, most existing non-local modules still focus on extracting long-range dependencies within a sin
Externí odkaz:
https://doaj.org/article/67748919384c4b3daa3d2e92b8663afc
Autor:
Hong Liu, Tao Yu, Bingliang Hu, Xingsong Hou, Zhoufeng Zhang, Xiao Liu, Jiacheng Liu, Xueji Wang, Jingjing Zhong, Zhengxuan Tan, Shaoxia Xia, Bao Qian
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4069 (2021)
Unmanned aerial vehicle (UAV) hyperspectral remote sensing technologies have unique advantages in high-precision quantitative analysis of non-contact water surface source concentration. Improving the accuracy of non-point source detection is a diffic
Externí odkaz:
https://doaj.org/article/4ce154914f87401e86ce71893cd14af2
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2017, Iss 1, Pp 1-10 (2017)
Abstract Signal frequency estimation is a problem of significance in many applications including audio signal processing. Compressed domain audio frequency estimators that directly use the modified discrete cosine transform (MDCT) coefficients are su
Externí odkaz:
https://doaj.org/article/83ba0878711e4fc5b0bd02a2fc5ee369
Publikováno v:
IET Image Processing. 17:1478-1492
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::938faf5dc921971eecb1c6719c9c9784
https://doi.org/10.1049/ipr2.12731
https://doi.org/10.1049/ipr2.12731
Autor:
Hong Liu, Xingsong Hou, Bingliang Hu, Tao Yu, Zhoufeng Zhang, Xiao Liu, Jiacheng Liu, Xueji Wang, Jingjing Zhong, Zhengxuan Tan
Publikováno v:
International Journal of Remote Sensing. 43:6957-6978
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f24b1a9020e24b710306c4d93d9e42
https://doi.org/10.1080/01431161.2022.2150395
https://doi.org/10.1080/01431161.2022.2150395
Directional lifting wavelet transform domain image steganography with deep-based compressive sensing
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8017cb3e71c9ab1b5cddc34334c3d38f
https://doi.org/10.1007/s11042-023-14939-4
https://doi.org/10.1007/s11042-023-14939-4