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TGSIFT: Robust SIFT Descriptor Based on Tensor Gradient for Hyperspectral Images

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Chinese Journal of Electronics 2020年第5期29卷 916-925页

作者： li yanshan FAN Leidong XIE Weixin ATR National Key Lab.of Defense Technology Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing College of Information Engineering Shenzhen University

This paper proposes a robust sparse descriptor based on tensor theory by using the spatial and spectral information synthetically, namely the Tensor gradient SIFT(TGSIFT), for Hyperspectral image(HSI).TGSIFT integrates both spatial and spectral information and considers the natural vector feature of HSIs. Based on the HSI Gaussian scale space, a new tensor model for HSI is proposed which takes the vectorial nature of HSI into consideration and preserves all the necessary structural information distributed over all the *** TGSIFT descriptor is formed based on the model proposed. Experimental results of HSI matching show that the TGSIFT descriptor achieves better matching performance than other SIFT descriptors under different transformations, including illumination change, sensor noise, image rotation, viewpoint change, and scale change.

关键词： Hyperspectral image (HSI) Interest points Scale-invariant feature transform (SIFT) Sparse descriptor Tensor gradient SIFT (TGSIFT)

OGSRN:Optical-guided super-resolution network for SAR image

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Chinese Journal of Aeronautics 2022年第5期35卷 204-219页

作者： yanshan li li ZHOU Fan XU Shifu CHEN ATR National Key Laboratory of Defense Technology Shenzhen UniversityShenzhen 518060China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen UniversityShenzhen 518060China

Although Convolutional Neural Networks(CNNs)have significantly improved the development of image Super-Resolution(SR)technology in recent years,the existing SR methods for SAR image with large scale factors have rarely been studied due to technical difficulty.A more efficient method is to obtain comprehensive information to guide the SAR image ***,the co-registered High-Resolution(HR)optical image has been successfully applied to enhance the quality of SAR image due to its discriminative *** by this,we propose a novel Optical-Guided Super-Resolution Network(OGSRN)for SAR image with large scale ***,our proposed OGSRN consists of two sub-nets:a SAR image SuperResolution U-Net(SRUN)and a SAR-to-Optical Residual Translation Network(SORTN).The whole process during training includes two *** stage-1,the SR SAR images are reconstructed by the *** an Enhanced Residual Attention Module(ERAM),which is comprised of the Channel Attention(CA)and Spatial Attention(SA)mechanisms,is constructed to boost the representation ability of the *** stage-2,the output of the stage-1 and its corresponding HR SAR images are translated to optical images by the SORTN,*** then the differences between SR images and HR images are computed in the optical space to obtain feedback information that can reduce the space of possible SR *** that,we can use the optimized SRUN to directly produce HR SAR image from Low-Resolution(LR)SAR image in the testing *** experimental results show that under the guidance of optical image,our OGSRN can achieve excellent performance in both quantitative assessment metrics and visual quality.

关键词： SAR image Super-resolution Optical image Attention mechanisms Convolutional Nerual Networks(CNNs)

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Energy efficient design for multiuser downlink energy and uplink information transfer in 5G

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Science China(Information Sciences) 2016年第2期59卷 74-81页

作者： Chunguo li yanshan li Kang SONG Luxi YANG Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University ATR National Key Laboratory of Defense Technology Shenzhen University

Simultaneous wireless information and power transfer(SWIPT) is studied in this paper for the wireless powered downlink(DL) and multiuser information uplink(UL) systems. The objective is to maximize the energy efficiency defined as the ratio of the achieved throughput over the energy cost by optimizing the time allocation for the DL and multi-user UL traffics and its goal is to obtain the analytical expression to the optimal time allocation yet the resulting difficulty comes from the sum throughput of the multiuser in UL as well as the corresponding power consumption. To tackle this, the Jensen inequality is applied to approximating the exact expression of the sum throughput for the UL multi-users, leading to an upper-bound of the *** final closed form is exact in the single-user scenario yet approximate in the multi-user scenario. Numerical simulations verify the tightness of this approximation and the performances of the proposed analytical scheme.

关键词： energy harvest time allocation energy efficiency uplink multiuser throughput maximization analytical expression

高速铁路无砟轨道小阻力扣件钢轨纵向阻力现场测试方法

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铁道建筑 2024年第3期64卷 32-35页

作者：李彦山吴玥肖俊恒张欢李子睿王袁硕北京铁科首钢轨道技术股份有限公司北京102206 中国铁道科学研究院集团有限公司高速铁路轨道系统全国重点实验室北京100081

为了满足钢轨纵向阻力现场测试需求,提出了一种现场长钢轨无损测试扣件钢轨纵向阻力的方法,设计了测试装置,并给出了测试流程。选取哈齐高铁(哈尔滨—齐齐哈尔)和大西高铁(大同—西安)两条典型无砟轨道线路,在大跨度连续梁上进行小阻力... 详细信息

为了满足钢轨纵向阻力现场测试需求,提出了一种现场长钢轨无损测试扣件钢轨纵向阻力的方法,设计了测试装置,并给出了测试流程。选取哈齐高铁(哈尔滨—齐齐哈尔)和大西高铁(大同—西安)两条典型无砟轨道线路,在大跨度连续梁上进行小阻力扣件钢轨纵向阻力现场测试。该装置采用固定钢轨拉动扣件的方式,具有结构轻便、操作简单、精度高、稳定性好等优点。现场测试结果表明:由于现场钢轨普遍锈蚀严重,导致实测钢轨纵向阻力远超设计值,即便更换新的不锈钢复合垫板或其他非金属材料减摩垫板,仍无法解决现场小阻力扣件钢轨纵向阻力过大的问题。

关键词：高速铁路小阻力扣件纵向阻力复合垫板锈蚀现场测试

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Two-stage local constrained sparse coding for fine-grained visual categorization

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Science China(Information Sciences) 2018年第1期61卷 273-275页

作者： lihua GUO Chenggang GUO Lei li Qinghua HUANG yanshan li Xuelong li School of Electronic and Information Engineering South China University of Technology College of Information Engineering Shenzhen University The Center for OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and PhotonicsXi’an Institute of Optics and Precision Mechanics Chinese Academy of Sciences

Fine-grained visual categorization(FGVC)[1,2]classifies the objects into categories which are both visually and semantically ***,the FGVC has included many species,i.e.,flowers,birds,and *** these species,all categori... 详细信息

关键词： HOG Two-stage local constrained sparse coding for fine-grained visual categorization HMP

Hyperspectral Image Super-Resolution Based on Spatial-Spectral Feature Extraction Network

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Chinese Journal of Electronics 2023年第3期32卷 415-428页

作者： li yanshan CHEN Shifu LUO Wenhan ZHOU li XIE Weixin ATR National Key Laboratory of Defense Technology Shenzhen University Tencent

Constrained by the physics of hyperspectral sensors, the spatial resolution of hyperspectral images(HSI) is low. Hyperspectral image super-resolution(HSI SR) is a task to obtain high-resolution hyperspectral images from low-resolution hyperspectral images. Existing algorithms have the problem of losing important spectral information while improving spatial *** handle this problem, a spatial-spectral feature extraction network(SSFEN) for HSI SR is proposed in this paper. It enhances the spatial resolution of the HSI while preserving the spectral information. The SSFEN is composed of three parts: spatial-spectral mapping network,spatial reconstruction network, and spatial-spectral fusing network. And a joint loss function with spatial and spectral constraints is designed to guide the training of the SSFEN. Experiment results show that the proposed method improves the spatial resolution of the HSI and effectively preserves the spectral information simultaneously.

关键词： Training Superresolution Feature extraction Spatial resolution Task analysis Image reconstruction Physics

Person Re-identification Across Multiple Non-overlapping Cameras by Grouping Similarity Comparison Model

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Chinese Journal of Electronics 2017年第5期26卷 905-911页

作者： TAN Feigang liU Weiming HUANG ling ZHAI Cong SHI Wei li yanshan South China University of Technology Shenzhen Institute of Information technology ATR Key Laboratory of Defense Technology Shenzhen University

We propose a novel algorithm to solve the problem of person re-identification across multiple nonoverlapping cameras by grouping similarity comparison *** use an image sequence instead of an image as a probe,and divide image sequence into groups by the method of systematic *** we design the rule which uses full-connection in a group and non-connection between groups to calculate similarities between *** take the similarities as features,and train an Ada Boost classifier to match the persons across disjoint *** enhance Euclidean distance discriminative ability,we propose a novel measure of similarity which is called Significant difference distance(SDD).Extensive experiments are conducted on two public *** proposed person re-identification method can achieve better performance compared with the state-of-the-art.

关键词： Person re-identification Significant difference distance(SDD) Grouping similarity comparison model Across camera tracking Non-overlapping camera views

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三阶递进教学在口腔固定修复教学中的应用

中国口腔医学继续教育杂志 2024年第1期27卷 111-116页

作者：李雪铃李湘霞肖雪洪筠黎艳珊杨凌中山大学附属口腔医院广东省口腔医学重点实验室中山大学光华口腔医学院

目的:探讨三阶递进教学模式在口腔固定修复教学中的应用实践效果,为教学创新改革提供参考。方法:采用“理论授课-案例教学-虚拟仿真实验教学”三阶递进教学模式,对《口腔修复学》固定修复课程进行教学创新,并通过问卷调查和学生成绩评... 详细信息

目的:探讨三阶递进教学模式在口腔固定修复教学中的应用实践效果,为教学创新改革提供参考。方法:采用“理论授课-案例教学-虚拟仿真实验教学”三阶递进教学模式,对《口腔修复学》固定修复课程进行教学创新,并通过问卷调查和学生成绩评价该教学模式的实施效果。结果:三阶递进教学模式学生认可度高、学生成绩高于传统教学模式,逐步实现了理论与实践相结合、培养学生临床思维、提高操作技能和临床胜任力的教学目标。结论:三阶递进教学模式有助于提高口腔固定修复课程的教学效率和教学效果。

关键词：固定修复理论授课案例教学虚拟仿真实验教学三阶递进教学

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犬肿瘤检测技术研究进展

实验动物科学 2024年第3期41卷 72-78页

作者：李晏姗王周祥胡宇峰重大疾病新药创制全国重点实验室赣南医科大学赣南创新与转化医学研究院赣州341000 赣南医科大学第一附属医院赣南医科大学赣州341000

随着社会发展和人们生活水平的提高,宠物饲养逐渐成为人们精神层面的重要补充。然而,当前存在着许多宠主缺乏科学的养宠观念,导致宠物错过及时治疗的机会,可能发展成为恶性肿瘤,甚至不治而亡。鉴于肿瘤发生时间和进展过程的不确定性,早... 详细信息

随着社会发展和人们生活水平的提高,宠物饲养逐渐成为人们精神层面的重要补充。然而,当前存在着许多宠主缺乏科学的养宠观念,导致宠物错过及时治疗的机会,可能发展成为恶性肿瘤,甚至不治而亡。鉴于肿瘤发生时间和进展过程的不确定性,早期筛查和治疗显得至关重要。本文基于对近年来常见犬肿瘤的多种检测技术进行综合论述,进一步分析了这些技术的应用及其优缺点。这对于在临床上实现犬肿瘤的有针对性、准确和迅速诊断具有重要意义,有望为快速、准确的犬肿瘤诊断和治疗提供理论依据。

关键词：肿瘤检测技术犬实验室检查临床分析

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