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Learning the external and internal priors for multispectral and hyperspectral image fusion

Science China(Information Sciences) 2023年第4期66卷 64-78页

作者： Shutao LI renwei dian Haibo LIU College of Electrical and Information Engineering Hunan University School of Robotics Hunan University

Recently, multispectral image(MSI) and hyperspectral image(HSI) fusion has been a popular topic in high-resolution HSI acquisition. This fusion leads to a challenging underdetermined problem, which image priors are used to regularize, aiming at improving fusion accuracy. To fully exploit HSI priors, this paper proposes two kinds of priors, i.e., external priors and internal priors, to regularize the fusion *** external prior represents the general image characteristics and is learned from abundant training data by using a Gaussian denoising convolutional neural network(CNN) trained in the additional gray images. An internal prior represents the unique characteristics of the HSI and MSI to be fused. To learn the external prior, we first segment the MSI into several superpixels and then enforce a low-rank constraint for each superpixel, which can well model local similarities in the HSI. In addition, to model a low-rank property in the spectral mode, the high-resolution HSI is decomposed into a low-rank spectral basis and ***, we formulate the fusion as an external and internal prior-regularized optimization problem, which is efficiently tackled through the alternating direction method of multipliers. Experiments on simulated and real datasets demonstrate the superiority of the proposed method.

关键词： multispectral and hyperspectral image fusion external and internal prior learning high-resolution hyperspectral imaging

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PAPS: Progressive Attention-Based Pan-sharpening

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 391-404页

作者： Yanan Jia Qiming Hu renwei dian Jiayi Ma Xiaojie Guo College of Intelligence and Computing Tianjin UniversityTianjin 300350 China IEEE School of Robotics Hunan UniversityChangsha 410082China Electronic Information School Wuhan UniversityWuhan 430072China

Pan-sharpening aims to seek high-resolution multispectral(HRMS) images from paired multispectral images of low resolution(LRMS) and panchromatic(PAN) images, the key to which is how to maximally integrate spatial and spectral information from PAN and LRMS images. Following the principle of gradual advance, this paper designs a novel network that contains two main logical functions, i.e., detail enhancement and progressive fusion, to solve the problem. More specifically, the detail enhancement module attempts to produce enhanced MS results with the same spatial sizes as corresponding PAN images, which are of higher quality than directly up-sampling LRMS *** a better MS base(enhanced MS) and its PAN, we progressively extract information from the PAN and enhanced MS images, expecting to capture pivotal and complementary information of the two modalities for the purpose of constructing the desired HRMS. Extensive experiments together with ablation studies on widely-used datasets are provided to verify the efficacy of our design, and demonstrate its superiority over other state-of-the-art methods both quantitatively and qualitatively. Our code has been released at https://***/JiaYN1/PAPS.

关键词： High-resolution multispectral image image fusion pan-sharpening progressive enhancement

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Surface defect detection competition with a bio-inspired vision sensor

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National Science Review 2023年第6期10卷 31-34页

作者： Anjing Guo Jupo Ma renwei dian Fuyan Ma Jinjian Wu Shutao Li School of Robotics Hunan University School of Artificial Intelligence Xidian University Pazhou Laboratory (Huangpu) College of Electrical and Information Engineering Hunan University Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province

INTRODUCTION Surface defects are inevitable during the product manufacturing process,such as impurities,scratches and dirt.D efects not only reduce the aesthetics and comfort of products,but may also degrade the functional *** are very concerned about inadequate defect detection because of potential economic and reputation ***,it is significant to study automatic defect detection *** machine vision-based defect detection mostly adopts a traditional CCD or CMOS vision sensor (VS) for ***,in real-world production lines,due to dynamic environments,traditional VS encounters difficulties in meeting the demands of defect detection,especially in modern high-precision product manufacturing.

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自我意識在古鎭王國靑銅藝術中的表現和作用——對白鳥芳郞先生(日本學者)論點之一點補充

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当代美术家 1985年第1期 95-97页

作者：黃人爲不详

1959年《雲南晋寧石塞山古墓羣發掘報吿》一書問世。1972年,在雲南江川李家山,又發掘了27座西漢古墓羣,出土了千餘件靑銅器。這是兩次有着密切聯繫並震驚世界的考古發掘。它的意義不僅打開了古滇王國的秘密,還爲我們深入探循滇人的足迹... 详细信息

1959年《雲南晋寧石塞山古墓羣發掘報吿》一書問世。1972年,在雲南江川李家山,又發掘了27座西漢古墓羣,出土了千餘件靑銅器。這是兩次有着密切聯繫並震驚世界的考古發掘。它的意義不僅打開了古滇王國的秘密,還爲我們深入探循滇人的足迹,揭開中國古代西南民族乃至東南亞民族文化之謎。

关键词：滇王西漢江川李家山古墓考古

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