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Sparse Representation over Shared Coefficients in Multispectral Pansharpening

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Tsinghua Science and Technology 2018年第3期23卷 315-322页

作者： Liuqing Chen Xiaofeng Zhang hongbing ma Department of Electronic Engineering and State Key Lab of IntelligentTechnology and Systems Tsinghua University Beijing100084 China College of Information Science and Engineering Xinjiang University Urumqi 830046 China.

The pansharpening process is for obtaining an enhanced image with both high spatial and high spectral resolutions by fusing a panchromatic（PAN） image and a low spatial resolution multispectral（MS） image. Sparse Principal Component Analysis（SPCA） method has been proposed as a pansharpening method, which utilizes sparse coefficients and over-complete dictionaries to represent the remote sensing data. However, this method still has some drawbacks, such as the existence of the block effect. In this paper, based on SPCA, we propose the Sparse over Shared Coefficients（SSC）, in which patches are extracted with a sliding distance of 1 pixel from a PAN image, and the MS image shares the sparse representation coefficients trained from the PAN image *** fused high-resolution MS image is reconstructed by K-SVD algorithm and iterations, and residual compensation is applied when the down-sampling constraint is not satisfied. The simulated experiment results demonstrate that the proposed SSC method outperforms SPCA and improves the overall effectiveness.

关键词： pansharpening sparse representation shared coefficients iteration

HyperDB：A Hyperspectral Land Class Database Designed for an Image Processing System

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Tsinghua Science and Technology 2017年第1期22卷 112-118页

作者： Yizhou Fan Ding Ni hongbing ma Department of Electronic Engineering Tsinghua UniversityBeijing 100084 China

Hyperspectral remote sensing is becoming more and more important amongst remote sensing techniques. In this paper, we present a hyperspectral database（Hyper DB） designed to cooperate with an embedded hyperspectral image processing system developed by the authors. Hyperspectral data are recognized and categorized by their land coverage class and band information, and can be imported from various sources such as airborne and spaceborne sensors carried by airplanes or satellites, as well as handhold instruments based on in situ ground observations. Spectral library files can be easily stored, indexed, viewed, and exported. Since Hyper DB follows standard design principles—independence, data safety, and compatibility—it satisfies the practical demand for managing categorized hyperspectral data, and can be readily expanded to other peripheral applications.

关键词： hyperspectral database spectral library image processing

DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement

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Tsinghua Science and Technology 2023年第4期28卷 743-753页

作者： Yonglong Jiang Liangliang Li Jiahe Zhu Yuan Xue hongbing ma College of Information Science and Engineering Xinjiang UniversityUrumqi 830046China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China

Poor illumination greatly affects the quality of obtained *** this paper,a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image *** combines the frequency and content information of images and is divided into three subnetworks:decomposition,enhancement,and adjustment networks,which perform image decomposition;denoising,contrast enhancement,and detail preservation;and image adjustment and generation,*** model is trained on the public LOL dataset,and the experimental results show that it outperforms the existing state-of-the-art methods regarding visual effects and image quality.

关键词： Retinex low-light image enhancement image decomposition image adjustment

Improved MPEG-4 High-Efficiency AAC With Variable-Length Soft-Decision Decoding of the Quantized Spectral Coefficients

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China Communications 2019年第10期16卷 65-82页

作者： Sai Han hongbing ma Ping Zhang Tim Fingscheidt China United Network Communications Group Company Limited Beijing 100033China Beijing University of Posts and Telecommunications Beijing 100876China Institute for Communications Technology Technische Universitat BraunschweigBraunschweig 38106Germany

MPEG-4 High-Efficiency Advanced Audio Coding (HE-AAC) is designed for low bit rate applications, such as audio streaming in mobile communications. The HE-AAC audio codec offers a better coding efficiency since variable-length codes (VLCs) are adopted. However, HE-AAC has originally been designed for storage and error-free transmission conditions. For the transmission over bit error-prone channels, error propagation is a serious problem for the VLCs. Therefore, a robust HE-AAC decoder is desired, especially for mobile communications. In contrast to traditional hard-decision decoding, utilizing bit-wise channel reliability information, softdecision (SD) decoding has been known to offer better audio quality. In HE-AAC, the global gain parameter is coded with fixedlength codes (FLCs), while the scale factors and quantized spectral coefficients are coded with VLCs. In this work, we apply FL/SD decoding to the global gain parameter, VL/SD decoding to the parameters scale factors and quantized spectral coefficients. Especially, in order to apply VL/SD decoding to the quantized spectral coefficients, a new modified trellis representation in VL/SD decoding is proposed. An improved HE-AAC performance is clearly observed, with the support of both instrumental measurements and a subjective listening test.

关键词： variable-length soft-decision decoding HE-AAC trellis representation quantization spectral coefficients

Information Purification Network for Remote Sensing Image Super-Resolution

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Tsinghua Science and Technology 2023年第2期28卷 310-321页

作者： Zheyuan Wang Liangliang Li Linxin Xing Jiawen Wang Kaipeng Sun hongbing ma College of Information Science and Engineering Xinjiang UniversityUrumqi 830046China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Shanghai Institute of Satellite Engineering Shanghai 201109China

Recently,several well-performing deep convolutional neural networks were proposed for remote sensing image super-resolution(SR).However,these methods rarely consider that remote sensing images are corruptible by additional noise,blurring,and other ***,to eliminate the interference of these factors,especially the noise,we propose a novel information purification network(IPN)for remote sensing image *** proposed information purification block(IPB)can process channel-wise features differently by channel separation and rescale spatial-wise features adaptively through the proposed multi-scale spatial attention *** further design an information group to explore a more powerful expressive combination of ***,long and short skip connections can transmit abundant low-frequency information,making IPBs pay more attention to high-frequency *** mix the images under various degradation models as training data in the training *** this way,the network can directly reconstruct various degraded *** on AID and UC Merced Land-Use datasets under multiple degradation models demonstrate that the proposed IPN performs better than state-of-the-art methods.

关键词： deep convolutional neural networks remote sensing image super-resolution information purification network

RFCNet:Remote Sensing Image Super-Resolution Using Residual Feature Calibration Network

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Tsinghua Science and Technology 2023年第3期28卷 475-485页

作者： Yuan Xue Liangliang Li Zheyuan Wang Chenchen Jiang Minqin Liu Jiawen Wang Kaipeng Sun hongbing ma College of Information Science and Engineering Xinjiang UniversityUrumqi 830046China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Shanghai Institute of Satellite Engineering Shanghai 201109China

In the field of single remote sensing image Super-Resolution(SR),deep Convolutional Neural Networks(CNNs)have achieved top *** further enhance convolutional module performance in processing remote sensing images,we construct an efficient residual feature calibration block to generate expressive *** harvesting residual features,we first divide them into two parts along the channel *** part flows to the Self-Calibrated Convolution(SCC)to be further refined,and the other part is rescaled by the proposed Two-Path Channel Attention(TPCA)*** corrects local features according to their expressions under the deep receptive field,so that the features can be refined without increasing the number of *** proposed TPCA uses the means and variances of feature maps to obtain accurate channel attention ***,a region-level nonlocal operation is introduced to capture long-distance spatial contextual information by exploring pixel dependencies at the region *** experiments demonstrate that the proposed residual feature calibration network is superior to other SR methods in terms of quantitative metrics and visual quality.

关键词： Convolutional Neural Network(CNN) remote sensing image Super-Resolution(SR) attention mechanism

Early warning of core network capacity in space-terrestrial integrated networks

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Journal of Systems Engineering and Electronics 2024年第4期35卷 855-864页

作者： HAN Sai LI Ao ZHANG Dongyue ZHU Bin WANG Zelin WANG Guangquan MIAO Jie ma hongbing China Unicom Research Institute Beijing 100044China China United Network Communications Group Company Limited Beijing 100033China

With the rapid development of low-orbit satellite com-munication networks both domestically and internationally,space-terrestrial integrated networks will become the future development *** space and terrestrial networks with limi-ted resources,the utilization efficiency of the entire space-terres-trial integrated networks resources can be affected by the core network *** order to improve the response efficiency of core networks expansion construction,early warning of the core network elements capacity is *** on the inte-grated architecture of space and terrestrial network,multidimen-sional factors are considered in this paper,including the number of terminals,login users,and the rules of users’migration during *** artifical intelligence(AI)technologies,the regis-tered users of the access and mobility management function(AMF),authorization users of the unified data management(UDM),protocol data unit(PDU)sessions of session manage-ment function(SMF)are predicted in combination with the num-ber of login users,the number of ***,the core network elements capacity can be predicted in *** proposed method is proven to be effective based on the data from real network.

关键词： space-terrestrial integrated networks core network element capacity artificial intelligent(AI)

Evaluation of endocrine therapy combined with intensity modulated radiation therapy in patients with advanced prostate cancer

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Oncology and Translational Medicine 2021年第5期7卷 229-234页

作者： Xiulong ma hongbing ma Dongli Ruan Department of Radiotherapy The Second Affiliated HospitalXi'an Jiaotong UniversityXi'an 710004China Department of Urology Xijing HospitalAir Force Military Medical UniversityXi'an 710032China

Objective The aim of this study was to study the effect of endocrine therapy combined with intensity-modulated radiation therapy in patients with advanced prostate *** The clinical data of 231 patients with advanced prostate cancer treated with radiotherapy in our hospital from may 2010 to march 2018 were collected.A total of 135 patients were treated with endocrine therapy combined with intensity-modulated radiotherapy,and 96 patients were treated with intensity-modulated radiotherapy only because of drug allergy,serious adverse reactions,and economic *** months after the end of the treatment,the short-term curative effect was evaluated using imaging *** total prostate-specific antigen(TPSA)and free prostate-specific antigen(FPSA)were detected before and 2 months after the end of the *** patients were followed up for at least 3 years,and the metastasis-free survival rate and cumulative survival rate of the two groups were *** The remission rates(RRs)of the observation and control groups were 64.45%and 46.87%,respectively;the difference was not statistically significant(P>0.05);however,the efficacy distribution of the endocrine therapy combined with intensity-modulated radiotherapy group was significantly better than that of the intensity-modulated radiotherapy group(P<0.05).There was no significant difference in clinical efficacy between the two groups in different TNM stages and Gleason *** treatment,the levels of TPSA and FPSA were significantly decreased compared with those before treatment;however,the decrease in the endocrine therapy combined with the intensity-modulated radiation therapy(IMRT)group was significantly higher than that in the IMRT group(P<0.05).Although there were no significant differences in the 1-year and 3-year cumulative survival rates between the two groups,the 1-year and 3-year metastasis-free survival rates of the endocrine therapy combined with the IMRT group were 60%and

关键词： conformal intensity-modulated radiation endocrine therapy prostate cancer metastasis-free survival rate

Aerial Video Encoding Optimization Based On x264

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Open Journal of Applied Sciences 2013年第1期3卷 36-40页

作者： Fan Yang hongbing ma Department of Electronic Engineering Tsinghua University Beijing China

x264 video codec uses lots of new video encoding technology based on H.264/AVC video encoding standard which enhances compression efficiency. However this results in so heavy computation that the x264 codec is not fit for real-time encoding application of high resolution video. This paper analyses the character of aerial video and then opti-mizes the inter-frame mode decision and motion estimation in x264 codec according to its character by reducing a lot of unnecessary computation. In the result, about 19% computation and encoding time is reduced with total bits and PSNR decreasing lightly.

关键词： x264 Aerial Video Encoding Mode Decision Motion Estimation