2024
2024
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Record 325 of
Title:Multilevel-based algorithm for hyperspectral image interpretation
Author Full Names:Qiu, Shi(1); Ye, Huping(2,3); Liao, Xiaohan(2,3,4); Zhang, Benyue(1); Zhang, Miao(1); Zeng, Zimu(1)Source Title:Computers and Electrical EngineeringLanguage:EnglishDocument Type:Journal article (JA)Abstract:Hyperspectral imagery contains spatial and spectral information, which can reveal the material properties of the target while intuitively displaying its spatial attributes. It has been applied in target recognition, search and rescue, and other fields. However, manual detection inevitably leads to missed detections and false alarms, necessitating the assistance of artificial intelligence for detection. To address this, we propose the multilevel-based algorithm for hyperspectral image interpretation. 1) From the spatial and spectral dimensions, we propose a semantic segmentation algorithm based on multidimensional information fusion to achieve semantic segmentation. 2) From the semantic and textual representation dimensions, we introduce a context interpretation module based on visual attention. We construct both real and simulated databases to validate the effectiveness of the algorithm. Experimental results demonstrate that the average accuracy of semantic segmentation achieved by the proposed algorithm is 74.3%. Additionally, the BLEU1 score reaches 71.2, outperforming mainstream algorithms by 1.4. © 2023 Elsevier LtdAffiliations:(1) Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China; (3) Key Laboratory of Low Altitude Geographic Information and Air Route, Civil Aviation Administration of China, Beijing; 100101, China; (4) The Research Center for UAV Applications and Regulation, Chinese Academy of Sciences, Beijing; 100101, ChinaPublication Year:2024Volume:113Article Number:109033DOI Link:10.1016/j.compeleceng.2023.109033数据库ID（收录号）:20234915147747 -
Record 326 of
Title:Multimodal fusion-based high-fidelity compressed ultrafast photography
Author Full Names:He, Yu(1); Yao, Yunhua(1); He, Yilin(1); Jin, Chengzhi(1); Huang, Zhengqi(1); Guo, Mengdi(1); Yao, Jiali(1); Qi, Dalong(1); Shen, Yuecheng(1); Deng, Lianzhong(1); Wang, Zhiyong(2); Zhao, Wei(3); Tian, Jinshou(3); Xue, Yanhua(3); Luo, Duan(3); Sun, Zhenrong(1); Zhang, Shian(1,4,5)Source Title:Optics and Lasers in EngineeringLanguage:EnglishDocument Type:Journal article (JA)Abstract:Featuring high frame rate and large sequence depth in a single shot, compressed ultrafast photography (CUP) has emerged as an outstanding tool for observing ultrafast phenomena, especially those unrepeatable or irreversible ones. However, the lower image quality in CUP due to high data compressive ratio has always been a tough issue, hampering its further applications in capturing the transient scenes with fine structural information. To overcome this disadvantage in CUP, here we report a multimodal fusion-based compressed ultrafast photography to achieve high-fidelity ultrafast imaging, termed MF-CUP. MF-CUP simultaneously records the dynamic scenes with three different imaging models, involving CUP, transient imaging and spatiotemporal integration imaging. Attributed to the joint acquisition of the dynamic scenes from different imaging models and the multimodal fusion image reconstruction algorithm enabled by untrained neural network, MF-CUP acquires the higher fidelity in both spatial and temporal domains compared with traditional CUP. Both the simulation and experimental results demonstrate that MF-CUP can effectively enhance the accuracy and quality of reconstructed images. Given this high-fidelity imaging ability of MF-CUP, it will provide a powerful tool for the detection of ultrafast dynamics with fine details. © 2024 Elsevier LtdAffiliations:(1) State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai, 200241, China; (2) School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu; 611731, China; (3) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (4) Joint Research Center of Light Manipulation Science and Photonic Integrated Chip of East China Normal University and Shandong Normal University, East China Normal University, Shanghai, 200241, China; (5) Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan; 030006, ChinaPublication Year:2024Volume:181Article Number:108363DOI Link:10.1016/j.optlaseng.2024.108363数据库ID（收录号）:20242316218568 -
Record 327 of
Title:All-polarization-maintaining mode-locked Holmium-doped fiber laser based upon nonlinear polarization evolution
Author Full Names:Tu, Lisha(1,2); Tang, Ziya(1); Li, Keyi(1); Wang, Jiachen(1); Lin, Hua(3); Zhang, Wenfei(1); Lue, Qitao(4); Guo, Chunyu(1); Ruan, Shuangchen(2)Source Title:Infrared Physics and TechnologyLanguage:EnglishDocument Type:Journal article (JA)Abstract:An all-polarization-maintaining, all-fiberized holmium (Ho) doped fiber laser mode-locked by nonlinear polarization evolution (NPE) is experimentally demonstrated for the first time. The NPE mechanism is realized via the combination of a polarizer and the cross-fusion of three sections of polarization maintaining (PM) fibers. With the appropriate manipulation of the splicing angles between the birefringent axes of the PM fibers, a highly stable mode locked operation is realized. The laser delivers stable dissipative-soliton resonance (DSR) pulses with a repetition rate of 10.34 MHz and an average power of 223.95 mW, corresponding to a pulse energy of 21.64 nJ and a peak power of 11 W. Furthermore, the output power test over 2 h implies superior stability of this design. The oscillator, performing the characteristics of self-starting, high pulse energy, and good stability, is attractive and promising for various practical application. © 2023Affiliations:(1) Shenzhen Key Laboratory of Laser Engineering, Guangdong Provincial Key Laboratory of Micro/Nano opt mechatronics Engineering, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen; 518060, China; (2) Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes, Shenzhen Technology University, Shenzhen; 518118, China; (3) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (4) Han's Laser Technology Industry Group Co., Ltd., Shenzhen; 518057, ChinaPublication Year:2024Volume:136Article Number:105054DOI Link:10.1016/j.infrared.2023.105054数据库ID（收录号）:20240115320784 -
Record 328 of
Title:Thread the Needle: Cues-Driven Multiassociation for Remote Sensing Cross-Modal Retrieval
Author Full Names:Chen, Yaxiong(1,2,3); Huang, Jirui(1,2,4); Sun, Zhaoyang(1,2,4); Xiong, Shengwu(3,5,6); Lu, Xiaoqiang(7)Source Title:IEEE Transactions on Geoscience and Remote SensingLanguage:EnglishDocument Type:Journal article (JA)Abstract:Rapid advances in Earth observation technologies have yielded numerous remotely sensed images and corresponding text data, enabling cross-modal image-text retrieval to extract valuable clues. However, current methods often focus on learning global semantic information from text and remote sensing (RS) images, while neglecting fine-grained semantic alignment and correlation. In addition, contrastive learning between modalities is often insufficient. To address these issues, we propose an innovative cues-driven multiassociation feature matching network (CDMAN) for cross-modal RS image retrieval. The proposed method primarily involves two key steps: 1) aligning positive samples and enhancing fusion for negative samples based on modal cues. To achieve precise alignment between RS images and text and facilitate the learning process for negative samples in contrastive learning, we have developed a novel fine-grained cues injection module that aligns and guides modalities using fine-grained cues; and 2) establishing multigranularity associative learning. To address the issue of insufficient association between RS images and text, we have implemented multigranularity collaborative associative learning, focusing on general and fine-grained modal associations. By fully leveraging modal cues, our method maintains both detailed associations and overall consistency in global associations. Experiments demonstrate that, compared to baseline methods, this approach achieves more accurate cross-modal retrieval (MCR) by combining fine-grained alignment and multigranularity associations. © 2024 IEEE.Affiliations:(1) Wuhan University of Technology, Sanya Science and Education Innovation Park, Sanya; 572000, China; (2) Wuhan University of Technology, School of Computer Science and Artificial Intelligence, Wuhan; 430070, China; (3) Interdisciplinary Artificial Intelligence Research Institute, Wuhan College, Wuhan; 430212, China; (4) Wuhan University of Technology, Chongqing Research Institute, Chongqing; 401122, China; (5) Shanghai Artificial Intelligence Laboratory, Shanghai; 200232, China; (6) Qiongtai Normal University, School of Information Science and Technology, Haikou; 571127, China; (7) Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Key Laboratory of Spectral Imaging Technology CAS, Xi'an; 710119, ChinaPublication Year:2024Volume:62Article Number:4709813DOI Link:10.1109/TGRS.2024.3509639数据库ID（收录号）:20245017506665 -
Record 329 of
Title:Color-restoring and energy-saving imaging monitoring for intelligent offshore engineering
Author Full Names:Quan, Xiangqian(1); Chen, Xiangzi(2,4); Wei, Yucong(1,3); Li, Zizheng(5); Li, Yun(6); Yan, Peng(6)Source Title:Ocean EngineeringLanguage:EnglishDocument Type:Journal article (JA)Abstract:Images play a crucial role in artificial intelligence (AI) for offshore engineering, which provide a large amount of data for machine intelligence to ensure the safe operation and maintenance of offshore structures. However, due to the attenuation of sunlight in water or monitoring at nighttime, underwater imaging monitoring systems need a light source, which consumes a lot of energy and impacts the load capacity of an offshore monitoring system. In addition, due to the nonlinearity of attenuation at different wavelengths, underwater images generally suffer from color deviation, tending to be blue and green, which decreases the accuracy of machine learning and intelligent recognition in unmanned offshore engineering. In order to reduce energy consumption and enhance color restoration, we proposed and designed a three-detector underwater imaging system (TD&TP-UIS) based on a prism, in which three detectors were used to enhance the utilization efficiency of light, and a gated band coating was designed on the prism to enhance the color reproduction. A series of experiments were carried out in water tanks, pools, Qiandao Lake, and other places to verify the advantage of color restoration and energy saving using the TD&TP-UIS. © 2024 Elsevier LtdAffiliations:(1) Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya; 572000, China; (2) Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya; 572022, China; (3) University of Chinese Academy of Sciences, Beijing; 100049, China; (4) College of Marine Science and Technology, Hainan Tropical Ocean University, Sanya; 572022, China; (5) MOE Key Laboratory of TianQin Mission, TianQin Research Center for Gravitational Physics & School of Physics and Astronomy, Frontiers Science Center for TianQin, Gravitational Wave Research Center of CNSA, Sun Yat-sen University (Zhuhai Campus), Zhuhai; 519082, China; (6) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, ChinaPublication Year:2024Volume:311Article Number:118951DOI Link:10.1016/j.oceaneng.2024.118951数据库ID（收录号）:20243416890329 -
Record 330 of
Title:Research on the Image-Motion Compensation Technology of the Aerial Camera Based on the Multi-Dimensional Motion of the Secondary Mirror
Author Full Names:Zhang, Hongwei(1); Qu, Rui(1); Chen, Weining(1); Guo, Huinan(1)Source Title:Applied Sciences (Switzerland)Language:EnglishDocument Type:Journal article (JA)Abstract:Targeting the dynamic image-motion problem of aerial cameras in the process of swing imaging, the image-motion compensation technology of aerial cameras based on the multi-dimensional motion of the secondary mirror was adopted. The secondary mirror was used as the image-motion compensation element, and the comprehensive image-motion compensation of the aerial camera was realized through the multi-dimensional motion of the secondary mirror. However, in the process of compensating for the image motion, the secondary mirror would be eccentric and inclined, which would cause the secondary mirror to be off-axis and affect the image quality. Therefore, a misalignment optical system model was established to study the relationship between the deviation vector and the misalignment of the secondary mirror, and the influence of the secondary mirror’s motion on the distribution of the aberration was analyzed. In order to verify the image-motion compensation ability of the multi-dimensional motion of the secondary mirror, an experimental platform was built to conduct a laboratory imaging experiment and flight experiment on the aerial camera. The experimental results showed that the dynamic resolution of the aerial camera using the image-motion compensation technology could reach 74 lp/mm, and the image-motion compensation accuracy was better than 0.5 pixels, which met the design expectation. In conclusion, the image-motion compensation technology is expected to be applied to various high-precision optical imaging as well as optical detection systems. © 2024 by the authors.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an; 710119, ChinaPublication Year:2024Volume:14Issue:16Article Number:7079DOI Link:10.3390/app14167079数据库ID（收录号）:20243516970428 -
Record 331 of
Title:Observation of the colliding process of plasma jets in the double-cone ignition scheme using an x-ray streak camera
Author Full Names:Liu, Zhengdong(1,2); Wu, Fuyuan(3,4); Zhang, Yapeng(1,2); Yuan, Xiaohui(3,4); Zhang, Zhe(4,5,6); Xu, Xiangyan(7); Xue, Yanhua(7); Tian, Jinshou(7); Zhong, Jiayong(1,2,4); Zhang, Jie(3,4,5)Source Title:Physics of PlasmasLanguage:EnglishDocument Type:Journal article (JA)Abstract:The double-cone ignition scheme is a novel approach with the potential to achieve a high gain fusion with a relatively smaller drive laser energy. To optimize the colliding process of the plasma jets formed by the CHCl/CD shells embedded in the gold cones, an x-ray streak camera was used to capture the spontaneous x-ray emission from the CHCl and CD plasma jets. High-density plasma jets with a velocity of 220 ± 25 km/s are observed to collide and stagnate, forming an isochoric plasma with sharp ends. During the head-on colliding process, the self-emission intensity nonlinearly increases because of the rapid increase in the density and temperature of the plasma jets. The CD colliding plasma exhibited stronger self-emission due to its faster implosion process. These experimental findings effectively agree with the two-dimensional fluid simulations. © 2024 Author(s).Affiliations:(1) Department of Astronomy, Beijing Normal University, Beijing; 100875, China; (2) Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University, Beijing; 102206, China; (3) Key Laboratory for Laser Plasmas (MoE), School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai; 200240, China; (4) Collaborative Innovation Center of IFSA (CICIFSA), Shanghai Jiao Tong University, Shanghai; 200240, China; (5) Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing; 100190, China; (6) Songshan Lake Materials Laboratory, Guangdong; 523808, China; (7) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, ChinaPublication Year:2024Volume:31Issue:4Article Number:042704DOI Link:10.1063/5.0188056数据库ID（收录号）:20241916063677 -
Record 332 of
Title:A High Accuracy Assembling Method of R-C System with Flexible Support Structure
Author Full Names:Yin, Yamei(1); Chen, Yun(1); Qin, Xing(1); Li, ZhiGuo(1); Zhou, JiaChun(1)Source Title:Proceedings of SPIE - The International Society for Optical EngineeringLanguage:EnglishDocument Type:Conference article (CA)Conference Title:Advanced Optical Manufacturing Technologies and Applications 2024, AOMTA 2024 and 4th International Forum of Young Scientists on Advanced Optical Manufacturing, YSAOM 2024Conference Date:July 5, 2024 - July 7, 2024Conference Location:Xi'an, ChinaConference Sponsor:Advanced Optical Manufacturing Youth Expert Committee, CSOE; Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, Fudan University; University of Shanghai for Science and Technology; Xi'an Institute of Optics and Precision Mechanics of CAS; Xi'an Technological UniversityAbstract:R-C optical systems commonly used in long focal length imaging, long-distance detection fields such as aerospace and space optical communication. In this paper, the R-C optical system consists of two reflective mirrors and four correction lenses. The primary mirror adopts three sets of flexible structures for back support, which can provide a reasonable access to reduce the influence of the mirror's self-weight and thermal distortion on the mirror surface. For the high accuracy assembly, the simulation has been conducted firstly by sensitivity matrix method to figure out the sensitive components and corresponding geometrical parameters about the focal length, wavefront aberration, and energy concentration and an assembling method is proposed. Experiment is carried out to demonstrate the feasibility of the proposed calibration method, for the wavefront aberration with RMS value of center of view is 0.17λ (λ=0.6328nm), and the diameter of spot dispersion about center field of view is 12.35μm, the diameter of spot dispersion in full field of view better than 18μm can be achieved. © 2024 SPIE.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, Xi’an; 710119, ChinaPublication Year:2024Volume:13280Article Number:132800SDOI Link:10.1117/12.3047649数据库ID（收录号）:20244917483527 -
Record 333 of
Title:Assembly Process of a Ritchey-Chretien (RC) Optical System
Author Full Names:Chou, Xiaoquan(1); Li, Zhiguo(1); Li, Xiaoyan(1); Huo, Xiaohua(1)Source Title:Proceedings of SPIE - The International Society for Optical EngineeringLanguage:EnglishDocument Type:Conference article (CA)Conference Title:2024 Applied Optics and Photonics China: AI in Optics and Photonics, AOPC 2024Conference Date:July 23, 2024 - July 26, 2024Conference Location:Beijing, ChinaConference Sponsor:Chinese Society for Optical Engineering (CSOE)Abstract:The Ritchey-Chretien (RC) optical system contains an aspheric primary mirror and secondary mirror, as well as a refractive corrector lens. This flexible structure allows for a wide range of applications. The assembly process for a RC optical system differs from traditional refractive lens systems, as the aspheric reflective primary and secondary mirrors require high centering precision, which necessitates further adjustments during the assembly process. This paper discusses the assembly process for a Ø300mm RC optical system, analyzing the centering precision of the aspheric reflective primary and secondary mirrors. By adjusting the relative position of the primary and secondary mirrors based on the wavefront aberration, the final RMS wavefront aberration of the RC optical system was reduced to 0.054, and the full-field modulation transfer function (MTF) exceeded 0.68. Finally, the paper discusses the manufacturing techniques to improve the centering precision of the aspheric reflective mirrors and enhance the assembly efficiency. © 2024 SPIE.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, Xi’an; 710119, ChinaPublication Year:2024Volume:13502Article Number:1350212DOI Link:10.1117/12.3048191数据库ID（收录号）:20250117641548 -
Record 334 of
Title:Hybrid Grid Pattern Star Identification Algorithm Based on Multi-Calibration Star Verification
Author Full Names:Shen, Chao(1); Ma, Caiwen(1); Gao, Wei(1); Wang, Yuanbo(1)Source Title:SensorsLanguage:EnglishDocument Type:Journal article (JA)Abstract:In order to solve the star identification problem in the lost space mode for scientific cameras with small fields of view and higher instruction magnitudes, this paper proposes a star identification algorithm based on a hybrid grid pattern. The application of a hybrid pattern generated by multi-calibration stars in the initial matching enables the position distribution features of neighboring stars around the main star to be more comprehensively described and avoids the interference of position noise and magnitude noise as much as possible. Moreover, calibration star filtering is adopted to eliminate incorrect candidates and pick the true matched navigation star from candidate stars in the initial match. Then, the reference star image is utilized to efficiently verify and determine the final identification results of the algorithm via the nearest principle. The performance of the proposed algorithm in simulation experiments shows that, when the position noise is 2 pixels, the identification rate of the algorithm is 96.43%, which is higher than that of the optimized grid algorithm by 2.21% and the grid algorithm by 4.05%; when the magnitude noise is 0.3 mag, the star identification rate of the algorithm is 96.45%, which is superior to the optimized grid algorithm by 2.03% and to the grid algorithm by 3.82%. In addition, in the actual star image test, star magnitude values of ≤12 mag can be successfully identified using the proposed algorithm. © 2024 by the authors.Affiliations:(1) Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi’an; 710119, ChinaPublication Year:2024Volume:24Issue:5Article Number:1661DOI Link:10.3390/s24051661数据库ID（收录号）:20241115750356 -
Record 335 of
Title:An Improved RL-IBD Restoration Algorithm for Wave-front Coded Imaging System
Author Full Names:Xue, Yukun(1,2); Zhao, Hui(2); Yang, Mingyang(2); Li, Baopeng(2); Fan, Xuewu(2)Source Title:Proceedings of SPIE - The International Society for Optical EngineeringLanguage:EnglishDocument Type:Conference article (CA)Conference Title:Optoelectronic Imaging and Multimedia Technology XI 2024Conference Date:October 13, 2024 - October 15, 2024Conference Location:Nantong, ChinaConference Sponsor:Chinese Optical Society (COS); The Society of Photo-Optical Instrumentation Engineers (SPIE)Abstract:A spherical coding imaging system combined with a controlled spherical aberration lens system and a digital sharpening filter can realize a fast and low-cost extended depth of field (EDoF) imaging system. At the same time, the wave-front coded technology is introduced, which can not only extend the depth of focus of the system, but also suppress the aberration including spherical aberration in the system design. However, for the wave-front coded system, due to the modulation of the incident light wave, the light distribution is more diffuse, so the blurred image generated by the wave-front coded system is a blurred image. It is necessary to decode and restore the intermediate blurred image to obtain a clear target image. In view of the lack of convergence and reliability of IBD algorithm, the Richardson-Lucy(RL) algorithm is introduced into RL-IBD algorithm, which can effectively reduce the sensitivity of the algorithm to noise. On the basis of vector extrapolation and exponential correction, this paper proposes improvements to the RL-IBD algorithm, which enhances the stability of the algorithm, and improves the convergence speed, noise suppression ability and adaptability of the algorithm. © 2024 SPIE.Affiliations:(1) Space Optics Lab, Xi'an Institute of Optics and Precision Mechanics, CAS, Xi'an; 710019, China; (2) Xi'an Technological University, Xi'an; 710021, ChinaPublication Year:2024Volume:13239Article Number:132390EDOI Link:10.1117/12.3036038数据库ID（收录号）:20250217675455 -
Record 336 of
Title:Universal high-frequency monitoring methods of river water quality in China based on machine learning
Author Full Names:Zhang, Yijie(1,2,3); Li, Weidong(4); Wen, Weijia(1,2,3); Zhuang, Fuzhen(5,6); Yu, Tao(7); Zhang, Liang(1,2,3); Zhuang, Yanhua(1,2,3)Source Title:Science of the Total EnvironmentLanguage:EnglishDocument Type:Journal article (JA)Abstract:The in-situ high-frequency monitoring of total nitrogen (TN) and total phosphorus (TP) in rivers is a challenge and key to instant water quality judgment and early warning. Based on the physical and chemical association between TN/TP and sensor-measurable predictors, we proposed a novel "indirect" measurement method for TN and TP in rivers. This method combines the timeliness of multi-sensor and the accuracy of intelligent algorithms, utilizing 188,629 data sets from 131 water monitoring stations across China. Under 5 algorithms and 4 predictor group scenarios, the results showed that: (1) extra tree regression (ETR) with 6 predictors exhibited the best precision, and the mean determination coefficient (R2) of TN and TP inversion across 131 stations reached 0.78 ± 0.25 and 0.79 ± 0.22 respectively; (2) among 6 potential predictors, the importance degrees of temperature, electrical conductivity, NH4-N, and turbidity were greater than that of pH and DO, and >80 % of stations exhibited acceptable prediction accuracy (R2 > 0.6) when the number of predictors (P) ranged from 4 to 6, which showed good tolerability to predictor variations; (3) the accurate classification rates of water quality standard (ACRws) of all stations based on TN and TP reached 90.41 ± 6.96 % and 92.33 ± 6.41 %; (4) in 9 regions/basins of China, this method showed universal application potential with no significant prediction difference. Compared with laboratory test, water quality automatic monitoring station, and remote sensing inversion, the proposed method offers high-frequency, high-precision, regional adaptability, low cost, and stable operation under rainy, cloudy, and nighttime conditions. The new method may provide important technological support for timely pollutant tracing, pre-warning, and emergency control for river pollution. © 2024 Elsevier B.V.Affiliations:(1) Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan; 430077, China; (2) Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Wuhan; 430077, China; (3) University of Chinese Academy of Sciences, Beijing; 100049, China; (4) College of Innovation and Experiment, Northwest A&F University, Yangling; 712100, China; (5) Institute of Artificial Intelligence, Beihang University, Beijing; 100191, China; (6) SKLSDE, School of Computer Science, Beihang University, Beijing; 100191, China; (7) Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, ChinaPublication Year:2024Volume:947Article Number:174641DOI Link:10.1016/j.scitotenv.2024.174641数据库ID（收录号）:20242916716636