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Jianming Hu

Researcher at Harbin Institute of Technology

Publications -  15
Citations -  58

Jianming Hu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Computer science & Image restoration. The author has an hindex of 2, co-authored 8 publications receiving 14 citations. Previous affiliations of Jianming Hu include University of Trento.

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Global Information Transmission Model-Based Multiobjective Image Inversion Restoration Method for Space Diffractive Membrane Imaging Systems

TL;DR: A global information transmission model is established by characterizing the PSF and background radiation in a full field of view to represent the imaging law of an on-orbit system, and a novel image inversion restoration method is proposed for the special degradation characteristics.
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Hyperspectral unmixing using weighted sparse regression with total variation regularization

TL;DR: Wang et al. as discussed by the authors proposed a weighted sparse regression with total variation (WSRTV) unmixing model, which incorporates gradient information in the sparse regression formulation by means of the weighted total variation regularizer.
Journal ArticleDOI

Multi-frame image restoration method for novel rotating synthetic aperture imaging system

TL;DR: A multi-frame image restoration model is proposed based on the directional gradient prior of the RSA system image, and when the aspect ratio is less than 3, the proposed inversion restoration method can achieve a satisfactory processing performance.
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Error tolerance and effects analysis of satellite vibration characteristics and measurement error on TDICCD image restoration

TL;DR: The error tolerance of satellite vibration itself and measurement specifications are quantitatively generated from the practical application point of view, which can provide a valuable reference for future satellite platform design and the specifications determining of TDICCD camera.
Proceedings ArticleDOI

SoccerNet 2022 Challenges Results

TL;DR: The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team, and tasks (3-6) were novel, including their underlying data and annotations.