In this paper,the Locality-constrained Linear Coding(LLC) algorithm is incorporated into the object tracking ***,we extract local patches within a candidate and then utilize the LLC algorithm to encode these *** on th...
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ISBN:
(纸本)9781509009107
In this paper,the Locality-constrained Linear Coding(LLC) algorithm is incorporated into the object tracking ***,we extract local patches within a candidate and then utilize the LLC algorithm to encode these *** on these codes,we exploit pyramid max pooling strategy to generate a richer feature *** feature histogram which integrates holistic and part-based features can be more discriminative and ***,an occlusion handling strategy is utilized to make our tracker more ***,an efficient graph-based manifold ranking algorithm is exploited to capture the relevance between target templates and *** tracking,target templates are taken as labeled nodes while target candidates are taken as unlabeled nodes,and the goal of tracking is to search for the candidate that is the most relevant to existing labeled nodes by manifold ranking *** on challenging video sequences have demonstrated the superior accuracy and robustness of the proposed method in comparison to other state-of-the-art baselines.
The Advanced Hyperspectral Imager (AHSI) is a visible/short-wave infrared hyperspectral imager on China's GaoFen-5 satellite, which was launched on May 9th, 2018. The AHSI is the first spaceborne hyperspectral sen...
The Advanced Hyperspectral Imager (AHSI) is a visible/short-wave infrared hyperspectral imager on China's GaoFen-5 satellite, which was launched on May 9th, 2018. The AHSI is the first spaceborne hyperspectral sensor that utilizes both the convex grating spectrophotometry and an improved three concentric-mirror (Offner) configuration. It has 60 km swath width, 30 m spatial resolution, 5-10 nm spectral resolution, and 330 spectral bands. Instrument performance was evaluated and validated through well-designed experiments on orbit. Results show that the performance of AHSI has met or exceeded predictions. The AHSI has outstanding capability of detecting and identifying different ground objects and in ecological environment monitoring and natural resource exploration.
作者：
陈文亮刘蓉崔厚欣徐可欣吕丽娜State Key Laboratory of Precision Measuring Technology and Instruments
Tianjin UniversityTianjin 300072 State Key Laboratory of Precision Measuring Technology and Instruments
Tianjin UniversityTianjin 300072n this paper the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive blood glucose detection are presented. An optical probe suitable for measuring the diffuse reflectance spectrum of human palm and a non-invasive blood glucose detection system using NIR spectroscopy are designed. Based on this system oral glucose tolerance tests are performed to measure the blood glucose concentrations of two young healthy volunteers. The partial least square calibration model is then constructed by all individual experimental data. The final result shows that correlation coefficients of the two experiments between the predicted blood glucose concentrations and the reference blood glucose concentrations are 0.9870 and 0.9854 respectively. The root mean square errors of prediction of full cross validation are 0.54 and 0.52 mmol/1 respectively.
In this paper, the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed, and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive ...
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In this paper, the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed, and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive blood glucose detection are presented. An optical probe suitable for measuring the diffuse reflectance spectrum of human palm and a non-invasive blood glucose detectionsystem using NIR spectroscopy are designed. Based on this system, oral glucose tolerance tests are performed to measure the blood glucose concentrations of two young healthy volunteers. The partial least square calibration model is then constructed by all individual experimental data. The final result shows that correlation coefficients of the two experiments between the predicted blood glucose concentrations and the reference blood glucose concentrations are 0.9870 and 0.9854, respectively. The root mean square errors of prediction of full cross validation are 0.54 and 0.52 mmol/1, respectively.
Deployment of modern detection models is difficult for infrared target detection used in robot vision systems due to their heavy computational burden. To alleviate this situation, a simple but efficient channel prunin...
Deployment of modern detection models is difficult for infrared target detection used in robot vision systems due to their heavy computational burden. To alleviate this situation, a simple but efficient channel pruning method is proposed for model acceleration. Specifically, a soft-gated module combined with batch normalization (SGBN) is designed as a standalone layer to substitute the standard batch normalization (BN) layer during training. The conversion between SGBN and BN is easy, and the training overhead introduced is almost negligible after replacement. By controlling the sparsity of the scaling factor in SGBN, unimportant channels with small output are blocked automatically and globally, which is simultaneous with model training. Removing these redundant channels no longer requires fine-tuning, thus significantly speeding up the pruning process. Experiments of pruning different detection models on the infrared dataset show the effectiveness of our method. For example, the parameters and FLOPs of pruned CetnerNet are reduced by 72.70% and 40.20%, respectively, without accuracy loss. The inference speed on the CPU is 12.01ms faster. Extended studies on the classification task also demonstrate its great potential when transferring to other applications.
Background: Recently, the popularity of dual-layer flat-panel detector (DL-FPD) based dual-energy cone-beam CT (CBCT) imaging has been increasing. However, the image quality of dual-energy CBCT remains constrained by ...
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Objective: The aim of this study is to validate the effectiveness of an energy-modulated scatter correction method in suppressing scatter in photon-counting detector (PCD)-based cone beam CT (CBCT) imaging. Approach: ...
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Skeletal muscle has a robust regeneration ability that is impaired by severe injury,disease,and *** in a decline in skeletal muscle ***,improving skeletal muscle regeneration is a key challenge in treating skeletal mu...
Skeletal muscle has a robust regeneration ability that is impaired by severe injury,disease,and *** in a decline in skeletal muscle ***,improving skeletal muscle regeneration is a key challenge in treating skeletal muscle-related *** to their significant role in tissue regeneration,implantation of M2 macrophages(M2M?) has great potential for improving skeletal muscle ***,we present a short-wave infrared(SWIR) fluorescence imaging technique to obtain more in vivo information for an in-depth evaluation of the skeletal muscle regeneration effect after M2M? *** fluorescence imaging was employed to track implanted M2M? in the injured skeletal muscle of mouse *** is found that the implanted M2M? accumulated at the injury site for two ***,SWIR fluorescence imaging of blood vessels showed that M2M? implantation could improve the relative perfusion ratio on day 5(1.09±0.09 vs 0.85±0.05;p=0.01) and day 9(1.38±0.16 vs 0.95±0.03;p=0.01) post-injury,as well as augment the degree of skeletal muscle regencration on day 13 ***,multiple linear regression analyses determined that post-injury time and relative perfusion ratio could be used as predictive indicators to evaluate skeletal muscle *** results provide more in vivo details about M2M? in skeletal muscle regeneration and confirm that M2M? could promote angiogenesis and improve the degree of skeletal muscle repair,which will guide the research and development of M2M? implantation to improve skeletal muscle regeneration.
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