The geometric parameters acquisition of splice detector is the most important thing to validate and evaluate the success of splice, but there is no systematic approach to solve it. For the rotation between the two det...
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The geometric parameters acquisition of splice detector is the most important thing to validate and evaluate the success of splice, but there is no systematic approach to solve it. For the rotation between the two detectors, the translation of the vertical slit, the slit width and other geometric parameters, the method based on imaging can give very accurate results. On the other hand, the smart-scope can give us the actual mean width of detector splicing, and the results are similar to the above. It proves that the method based on imaging can complete various geometric parameters tests with a very high precision. It just meets the needs of easy and high precision of the aerospace application, and it can provide powerful technical support for the detector slit splicing.
This paper briefly described an improved method for the original proposed scheme based on Vector Quantization and Linear Prediction to further enhance the compression ratio while reduce the time cost. Given the fact t...
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ISBN:
(数字)9781728152448
ISBN:
(纸本)9781728152455
This paper briefly described an improved method for the original proposed scheme based on Vector Quantization and Linear Prediction to further enhance the compression ratio while reduce the time cost. Given the fact that the interferograms belong to the same datacube are similar to each other, there are two obvious modifications in this paper: predict only once to get the general predicted coefficients for the same datacube; along with treat datacube rather than sequence as the encoded unit. The time consumption spent by Linear Prediction part will shrink about 35.55% by predicting just once. Moreover, the change of the encoded object makes the final compression ratio get a further rise range from 2.62% to 3.711%.
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.
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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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.
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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