Results 11 to 20 of about 17,599,864 (236)

Compressive Sensing Imaging Based on Modulation of Atmospheric Scattering Medium

Applied Sciences, 2020
Long-distance imaging in time-varying scattering media, such as atmosphere, is a significant challenge. Light is often heavily diffused while propagating through scattering media, because of which the clear imaging of objects concealed by media becomes ...
Xuelin Lei, Xiaoshan Ma, Zhen Yang, Xiaodong Peng, Yun Li, Wei Ni   +5 more
doaj   +2 more sources

Atmospheric Scattering Prior Embedded Diffusion Model for Remote Sensing Image Dehazing

Atmosphere
Remote sensing image dehazing presents substantial challenges in balancing physical fidelity with generative flexibility, particularly under complex atmospheric conditions and sensor-specific degradation patterns.
Shanqin Wang, Miao Zhang
doaj   +2 more sources

Study on the Robustness of an Atmospheric Scattering Model under Single Transmittance

Photonics
When light propagates in a scattering medium such as haze, it is partially scattered and absorbed, resulting in a decrease in the intensity of the light emitted by the imaging target and an increase in the intensity of the scattered light.
Xiaotian Shi, Yue Ming, Lin Ju, Shouqian Chen   +3 more
doaj   +2 more sources

A General Model of the Atmospheric Scattering in the Wavelength Interval 300 - 1100nm

Radioengineering, 2009
We have presented and developed new theoretic-empirical models of the extinction coefficients of the molecular scattering in the lower, close to the ground troposphere. We have included the indicatrices of backscattering.
K. Dimitrov, A. Dandarov, I. Bakalski, E. Ferdinandov   +3 more
doaj   +1 more source

Simulation and Analysis of Mie-Scattering Lidar-Measuring Atmospheric Turbulence Profile

Sensors, 2022
Based on the residual turbulent scintillation theory, the Mie-scattering lidar can measure the intensity of atmospheric turbulence by detecting the light intensity scintillation index of the laser return signal.
Yuqing Lu, Jiandong Mao, Yingnan Zhang, Hu Zhao, Chunyan Zhou, Xin Gong, Qiang Wang, Yi Zhang   +7 more
doaj   +1 more source

Low and high orders light scattering within the dispersible media. [PDF]

, 2005
Sprays, aerosols as well as other industrially relevant turbid media can be characterized by light scattering techniques. However these techniques often fall into the intermediate scattering regime where the average number of times a photon is ...
Churmakov, D. Y., Meglinski, I. V., Romanov, V. P., Berrocal, Edouard   +3 more
core   +4 more sources

Novel Simulation and Analysis of Mie-Scattering Lidar for Detecting Atmospheric Turbulence Based on Non-Kolmogorov Turbulence Power Spectrum Model

Entropy, 2022
The Mie-scattering lidar can detect atmospheric turbulence intensity by using the return signals of Gaussian beams at different heights. The power spectrum method and Zernike polynomial method are used to simulate the non-Kolmogorov turbulent phase plate,
Yingnan Zhang, Jiandong Mao, Juan Li, Xin Gong   +3 more
doaj   +1 more source

Unsupervised water scene dehazing network using multiple scattering model.

PLoS ONE, 2021
In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are difficult to collect, many dehazing methods are not as effective as they could be.
Shunmin An, Xixia Huang, Linling Wang, Zhangjing Zheng, Le Wang   +4 more
doaj   +1 more source

A Path Loss Model for Non-Line-of-Sight Ultraviolet Multiple Scattering Channels

EURASIP Journal on Wireless Communications and Networking, 2010
An ultraviolet (UV) signal transmission undergoes rich scattering and strong absorption by atmospheric particulates. We develop a path loss model for a Non-Line-of-Sight (NLOS) link.
Sadler BrianM, Ding Haipeng, Xu Zhengyuan   +2 more
doaj   +2 more sources

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): Overview and description of models, simulations and climate diagnostics [PDF]

, 2013
The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) consists of a series of time slice experiments targeting the long-term changes in atmospheric composition between 1850 and 2100, with the goal of documenting composition changes
Rumbold, S. T., V. Naik, Lee, Y., Skeie, R. B., Lee, Y.H., P. Cameron-Smith, J.-F. Lamarque, Horowitz, L., Zeng, G., D. T. Shindell, Mackenzie, I., L. W. Horowitz, MacKenzie, Ian A., MacKenzie, I. A., Shindell, D. T., Stevenson, D. S., D. Plummer, Skeie, R., Bergmann, D., S. T. Rumbold, S. Dalsoren, Horowitz, L. W., Szopa, S., Collins, William J., Naik, Vaishali, Ghan, S., Naik, V., Stevenson, D., Ghan, S. J., G. Faluvegi, Y. H. Lee, Lamarque, J. F., Rumbold, S, Nagashima, T, Shindell, Drew T., Schulz, M., Young, P., S. Szopa, M. Schulz, Righi, M., V. Eyring, T. Nagashima, Shindell, D., Eyring, V., Lee, Y. H., Schulz, Michael, Josse, B, D. S. Stevenson, Dalsoren, S., Ghan, S, A. Voulgarakis, Dalsøren, Stig Bjørløw, Szopa, Sophie, Rumbold,, S. T., Collins, W.J., Skeie, R, Lamarque, J.-F., Stevenson, D. S.; id_orcid, MacKenzie, I.A., Faluvegi, G., Collins, W., Cameron-Smith, P., Collins, W. J., R. B. Skeie, K. Sudo, Lee, Y, Josse, B., Strode, S., P. J. Young, Young, P. J., Shindell, D.T., Cameron-Smith, Philip, S. Strode, Dalsoren, Stig B, Doherty, R. M., Strode, Sarah, Cionni, I., Folberth, G., Stevenson, D.S., Skeie, Ragnhild Bieltvedt, S. J. Ghan, G. Zeng, Plummer, David A, B. Josse, Rumbold, S., Rumbold, S.T., I. Cionni, G. Folberth, Sudo, K., Plummer, D., Young, Paul, Voulgarakis, A., I. A. MacKenzie, W. J. Collins, D. Bergmann, Nagashima, T., Doherty, R., Young, P.J., Righi, M, Folberth, Gerd A., Lamarque, J. -F., Zeng, Guang, R. Doherty, M. Righi, Cionni, I   +104 more
core   +4 more sources