Semantic Ambient Media Experiences最新文献

{"title":"CO2 retrieval method based on GaoFen-5 satellite data","authors":"Yun Jiang, Xianhua Wang, Hanhan Ye, Hailiang Shi, Yue Pan, Gen Wang","doi":"10.1117/12.2682540","DOIUrl":"https://doi.org/10.1117/12.2682540","url":null,"abstract":"Cloud pollution problem in remote sensing data，Atmospheric scattering ,the presence and changes of chlorophyll fluorescence in vegetation, etc., all interfere with the inversion of CO2, affecting the accuracy of CO2 inversion.In this study, the Greenhouse Gases Monitoring Instrument (GMI) data collected from GaoFen-5 (GF-5) satellite was applied to the cloud detection study in O2 A band. The detection results were compared with the cloud judgment product of the moderate resolution imaging spectroradiometer (MODIS), and the proposed algorithm can filterout 90% of the clear sky data. Based on this, a more in-depth study of atmospheric CO2 retrieval was carried out. The CO2 retrieval results were compared with those data collected from the Total Carbon Column Observing Network (TCCON) and Greenhouse Gases Observing Satellite, and the results showed that the average accuracy of CO2 retrieval results was better than 1%. In addition, the correlation coefficient between the results of CO2 retrieval method and the data collected from TCCON was 0.85. Due to the effect of vegetation chlorophyll fluorescence, the CO2 retrieval results based on the GMI data were higher than TCCON collected data. After the corrections to reduce the effect of vegetation chlorophyll fluorescence, the correlation coefficient of the CO2 retrieval results between GMI and TCCON","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115131111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of propagation characteristics of combined laser in turbulent atmosphere","authors":"Huan Yang, Guochao Lao, L. Xue, W. Gao, Wantao Deng, H. Xia, Jiu Chen, Tianyu Chen","doi":"10.1117/12.2682035","DOIUrl":"https://doi.org/10.1117/12.2682035","url":null,"abstract":"During the propagation of array laser in the atmosphere, due to the influence of atmospheric coherence length, average wind velocity and laser duration, the beam quality in the far field will be reduced. In this paper, an array laser propagation model and a dynamic atmospheric turbulence phase screen are constructed. The peak intensity and the circumferential intensity are used as the criteria to evaluate the beam quality degradation of coherent and incoherent lasers in the far field. The results show that the beam quality of coherent combining is better than that of incoherent combining in a short laser duration; However, the beam quality of incoherent and coherent combination decreases and approaches gradually with the increase of laser duration. The researches can provide basic support for selecting the best beam combining mode when the high-power laser system is used in different environments.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"43 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131119547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of aerosol extinction of coefficient in coastal areas of South China based on informer-LSTF","authors":"Zhou Ye, Shengcheng Cui, Zhi-li Qiao, Huiqiang Xu, Zihan Zhang, Tao Luo, Xuebin Li","doi":"10.1117/12.2681810","DOIUrl":"https://doi.org/10.1117/12.2681810","url":null,"abstract":"Models related to long and short-term memory networks have demonstrated superior performance in short-term prediction, but their prediction ability becomes limited in long sequence time series forecasting (LSTF), and prediction time increases. To address these issues, this paper optimizes the Transformer and Informer models in the following ways: (1) input representation optimization, by adding a time embedding layer representing global timestamps and a positional embedding layer to improve the model's prediction ability for aerosol extinction coefficient (AEC); (2) self-attention mechanism optimization, by using probabilistic self-attention mechanism and self-attention distillation mechanism to reduce memory usage and enhance the model's local modeling ability through convolutional aggregation operations; (3) generative decoding, using dynamic decoding to enhance the model's long sequence prediction ability. Based on these optimizations, a new LSTF model for AEC is proposed in this paper. Experimental results on the atmosphere parameters of the Maoming (APM) dataset and weather dataset show that the proposed model has significant improvements in accuracy, memory usage, and runtime speed compared to other similar Transformer models. In the accuracy experiment, compared to the Transformer model, the MAE of this model on APM dataset decreased from 0.237 to 0.103, and the MSE decreased from 0.345 to 241. In the memory usage experiment, the model can effectively alleviate memory overflow problems when the input length is greater than 720. In the runtime speed experiment, when the input length is 672, the training time per round decreased from 15.32 seconds to 12.39 seconds. These experiments demonstrate the effectiveness and reliability of the proposed model, providing a new approach and method for long sequence prediction of AEC.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on atmospheric turbulence-degraded image restoration based on generative adversarial networks","authors":"Jiuming Cheng, Jianyu Li, Congming Dai, Y. Ren, Gang Xu, Shuai Li, Xiaowei Chen, Wenyue Zhu","doi":"10.1117/12.2681805","DOIUrl":"https://doi.org/10.1117/12.2681805","url":null,"abstract":"The imaging equipment working in the atmosphere will not only be limited by the performance of the imaging system, but also be affected by turbulence. In the fields of astronomical observation, ground-based remote sensing and remote monitoring, there is an urgent need for corresponding methods and technologies to eliminate the impact of atmospheric turbulence and obtain clear images. With the development of computer technology, atmospheric optics theory and image processing technology, more and more researchers hope to combine deep learning technology with atmospheric turbulence theory to reduce the impact of turbulence on imaging and obtain clear and stable images. In this paper, a turbulence image restoration technique based on Generative Adversarial Networks (GAN) is proposed, which is divided into generator network and discriminator network. The generator network is used to convert blurred images affected by turbulence into clear images. The discriminator network is used to compare the converted image with the real clear image to determine whether the image is real or generated. After the whole GAN is optimized and trained, the image transformed by the generator and the real and clear image cannot be distinguished from each other. Because the training of the GAN requires a large number of corresponding samples, it is difficult to obtain the images affected and unaffected by turbulence at the same time in real life, so this paper uses the statistical characteristics of turbulence to simulate a large number of images affected by turbulence. We used the trained GAN model to simulate turbulence image restoration and got some achievements.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128180964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Polarization sensitivity calibration of the non-polarization channel of polarization multiangle imager onboard Fengyun satellite","authors":"Haofei Wang, P. Zhang, Dekui Yin, Jian Shang, Xiuqing Hu, Zhengqiang Li","doi":"10.1117/12.2683135","DOIUrl":"https://doi.org/10.1117/12.2683135","url":null,"abstract":"The polarization instrument of Fengyun-3 precipitation satellite is the first Polarization and Multi-Angle Imager (PMAI) with short-wave infrared channel in China, aiming to accurately measure the radiation characteristics of clouds and aerosols in the atmosphere. The accuracy of radiometric measurement is an important technical index of instrument performance, which is of great significance for the inversion of high-precision quantitative parameters of satellite remote sensing. For the non-polarization channel of a polarization imager, polarization is a kind of interference information, and the polarization sensitivity of the instrument needs to be inverted and quantitatively removed to improve the accuracy of radiation calibration. A method of least squares fitting response value of complete linear polarization incident light based on different polarization angles is proposed to measure the polarization sensitivity of the non-polarization channel full field of view. According to the measured polarization rate of each channel and the polarization characteristics of the incident light, the polarization sensitivity of each channel is calibrated based on the polarization calibration model. The results show that the polarization sensitivity of the non-polarization channel shows obvious edge effect, gradually increasing from the center of the focal plane to the edge, and has obvious spectral differences, the smaller the wavelength having the higher the polarization sensitivity. The maximum polarization sensitivity occurs in the edge field of view of the non-polarization channel in the 1030nm band, close to 1.6%, which has a great impact on the accuracy of radiometric calibration. After polarization sensitivity calibration, the polarization sensitivity of the edge field of view is within 0.5%. The results show that by calibrating the polarization sensitivity of the full field of view of the non-polarization channel, the radiometric calibration can be effectively improved, which provides strong support for high-precision quantitative remote sensing.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"49 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114041498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation analysis on light scattering intensity distribution and mass concentration of atmospheric particles in different polarization states","authors":"X. Wang, Heng Zhao, Ruofei Wang, Jiaqi Li","doi":"10.1117/12.2683123","DOIUrl":"https://doi.org/10.1117/12.2683123","url":null,"abstract":"The light scattering method has the advantages of simple structure and good real-time performance in measuring the mass concentration of particulate matter. It is usually used to calibrate the laboratory standard particles to ensure the accuracy of measurement. However, the actual measured particle size of pollutant particles is complex and changeable, it is necessary to explore the scattering light intensity distribution law in multi-detection angles under different particle sizes. The numerical simulation results obtain scattering light intensity distribution of silica particles under different polarization state light sources, and get the appropriate range of detection angle. This paper mainly designs a set of device to measure the scattering light intensity and mass concentration of particulate matter. Meanwhile, the standard instrument TSI was used to measure the real-time change of the mass concentration of particulate matter. The results show that the scattering light intensity signal measured by photodetector is highly correlated with the mass concentration measured by the TSI standard instrument, and the mass concentration of the particles measured by the system is in good agreement with the standard instrument TSI. The scattering light intensity can effectively invert the real-time mass concentration of particulate matter. The experimental device is suitable for real-time measurement of particulate matter mass concentration.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131274405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of aerosol scattering and absorption coefficients based on machine learning","authors":"Menglei Liu, Xuebin Li, Feifei Wang, Jie Chen, Tao Luo, Shengcheng Cui, Zihan Zhang, Qian Liu","doi":"10.1117/12.2682968","DOIUrl":"https://doi.org/10.1117/12.2682968","url":null,"abstract":"Aerosol scattering and absorption coefficients are important parameters that characterize the optical properties of aerosols, which have significant impacts on the radiation balance, air quality, and climate change of the Earth. In order to further improve the understanding of the relationship between aerosol optical properties and meteorological parameters in the offshore areas of Guangdong Maoming, the scattering and absorption coefficients of aerosols as well as meteorological parameters such as temperature, humidity, pressure, wind speed, wind direction, and visibility were measured. In this study, a prediction model of aerosol scattering and absorption coefficients based on the CatBoost algorithm was proposed using the measured data. Firstly, the measured data was preprocessed, and then a CatBoost algorithm model based on ensemble learning was constructed and trained. The Optuna framework was used to optimize the hyperparameters of the model to obtain the final aerosol scattering and absorption coefficient prediction model. Finally, the machine learning model was used to predict the scattering and absorption coefficients of aerosols in the offshore areas of Maoming. The model was compared with XGBoost and LightGBM algorithm models, and the mean squared error (MSE) and mean absolute error (MAE) were used as evaluation metrics to assess the accuracy of the model predictions. Based on the evaluation metrics, the CatBoost algorithm model based on Optuna automatic hyperparameter optimization performed the best among several models. The experimental results showed that when the training and testing data came from the same region, the MAE of the CatBoost algorithm model based on Optuna hyperparameter optimization was about 5.33, and the MSE was about 48.764, achieving a prediction accuracy of 90.88% for aerosol scattering and absorption coefficients.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133766378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote sensing of H2O and HDO column based on Fourier Transform Infrared spectroscopy","authors":"Peng Wu, Changgong Shan, Wei Wang, Chen-Ren-Lang Liu, Qianqian Zhu, X. Zeng, Bin Liang, Yuting Xie","doi":"10.1117/12.2681798","DOIUrl":"https://doi.org/10.1117/12.2681798","url":null,"abstract":"The phase transition of water vapour is typically accompanied by a change in the water vapour isotopes. The dynamics, transpiration, and condensation of water vapour in the atmosphere can also be revealed by measuring water vapour isotopes in the atmosphere. This information is crucial for understanding the water cycle in the atmosphere. Fourier Transform Infrared (FTIR) spectroscopy is widely used to monitor atmospheric trace gases. This study is based on near-infrared solar absorption spectra collected by portable Fourier Transform Infrared spectrometer (FTS) to observe the column concentration results of H2O and HDO. And the column isotope ratio δD is calculated by H2O and HDO results. The fitted root-mean-square errors (RMSE) of the spectral retrieval window of H2O and HDO were 0.107% and 0.175%, respectively. And the mean retrieval error for H2O and HDO was (0.59 ± 0.21) % and (0.94 ± 0.20) %, respectively. The calculated error of δD was 0.0035‰, which shows a high level of observational accuracy. The time series of δD obtained from September 2016 to December 2017 with a varied in the range of -5.69‰ to -369.19‰. And the lowest δD observed in January with a mean value of (-249.63 ± 32.35) ‰ and the highest δD observed in July with a mean value of (-38.61 ± 2.43) ‰, the time series show a clear seasonal variation. The observations demonstrate the capability of the FTIR spectrometer to observe the stable isotope and isotope ratio δD of atmospheric water vapour with accuracy and precision.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116495795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chlorophyll-a concentration inversion and distribution with GOCI images in the Changjiang Estuary","authors":"D. Shang, Chengcheng Fan, Yonghe Zhang, Xinping Wang","doi":"10.1117/12.2682817","DOIUrl":"https://doi.org/10.1117/12.2682817","url":null,"abstract":"Chlorophyll-a concentration, as a direct indicator of phytoplankton abundance, is important in the study of marine ecological environment and ecosystem's substance circulation and energy exchanges. This paper investigates the distribution of chlorophyll-a over time and space in the Changjiang Estuary through combining in-situ observation during scientific cruises and Geostationary Ocean Color Imager (GOCI) satellite images. The field measured spectral reflectance curves show significant differences from the near-estuarine region to the offshore region, including features such as peak and trough locations, slope variations, and spectral symmetry. Several popular inversion algorithms of chlorophyll-a concentration are optimized and compared using the training dataset, in which the generalized algal bloom index algorithm (GABI) gets a better accuracy and stability. Monthly average distribution maps derived from GOCI images show that chlorophyll-a concentration in the Changjiang Estuary and adjacent areas is always low (≤3 mg/m3 ) in winter, and slightly higher near the estuarine. In spring and summer, the chlorophyll-a concentration rises gradually due to the increasing water temperature, especially in areas east of the maximum turbidity zone. Moreover, chlorophyll-a concentration is relatively higher in the sea adjacent to the southeast of Zhoushan Islands in autumn.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122404005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Varifocal lens based on fifth-order XY polynomial freeform surface","authors":"Zhichao Ye, Jing Yan, Tingting Jiang, Shiqi Chen, Zhi-hai Xu, Qi Li, H. Feng, Yue-ting Chen","doi":"10.1117/12.2681797","DOIUrl":"https://doi.org/10.1117/12.2681797","url":null,"abstract":"Optical system with zooming ability is essential for space exploration. In this paper, we proposed a new varifocal lens design based on the fifth-order X-Y polynomial free-form surface. It can change its focal power by the vertical deflection of the two free-form surfaces. We described the proposed lens’s modulation phase function and aberration based on the first-order optical analysis. Simulation experiments compared the proposed lens with the Alvarez lens regarding surface depth and zoom capability. We further investigate the correspondence between vertical deflection and optical power. The results show that the focal power of the varifocal lens based on the fifth-order X-Y polynomial free-form surface is proportional to the cube of the lateral shift distance, which has a stronger zoom ability than the Alvarez lens. It can achieve a wide range of power changes with a smaller lateral displacement, contributing to the zoom system’s further miniaturization.","PeriodicalId":130374,"journal":{"name":"Semantic Ambient Media Experiences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128586344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}