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	Impact of HO2 aerosol uptake on radical levels and O3 production during summertime in Beijing 期刊论文 OAI收割 ATMOSPHERIC CHEMISTRY AND PHYSICS, 2023, 卷号: 23, 期号: 10, 页码: 5679-5697 作者: Dyson, Joanna E.; Whalley, Lisa K.; Slater, Eloise J.; Woodward-Massey, Robert; Ye, Chunxiang \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2024/09/26 OZONE PRODUCTION UPTAKE COEFFICIENTS NOX EMISSIONS AIR-QUALITY AMBIENT AIR CHEMISTRY OH SENSITIVITY HYDROCARBONS ATMOSPHERE
	Effects of light quality on growth rates and pigments of Chaetoceros gracilis(Bacillariophyceae) CNKI期刊论文 OAI收割 2020 作者: LI Yongfu; LI Ruiqian; YI Xiaoyan \| 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/12/18 Chaetoceros gracilis light quality pigments wavelength effect mean extinction coefficients
	Remanufacturing Decisions with WTP Discrepancy and Uncertain Quality of Product Returns 期刊论文 OAI收割 SUSTAINABILITY, 2018, 卷号: 10, 期号: 7, 页码: 23 作者: Shu, Tong; Xu, Jiajia; Chen, Shou; Wang, Shouyang; Lai, Kin Keung \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2018/10/07 remanufacturing quality coefficients willingness to pay game model production pricing decision
	Space optical remote sensor of the CAE thermal control index calculation method (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011, September 16, 2011 - September 18, 2011, Guangzhou, China 作者: Li L. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load and using the finite element method for thermal deformation analysis we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software heat-ray machines under elastic deformation of the system point spread function transfer function (MTF) wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design this method provided a reliable basis for design. (2011) Trans Tech Publications Switzerland.
	Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Wu Z.-G.; Wang M.-J.; Han G.-L. 收藏 \| 浏览/下载：75/0 \| 提交时间：2013/03/25 Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
	DWT-based digital image watermarking algorithm (EI CONFERENCE) 会议论文 OAI收割 IEEE 2011 10th International Conference on Electronic Measurement and Instruments, ICEMI 2011, August 16, 2011 - August 18, 2011, Chengdu, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 This paper presents a digital watermarking algorithm based on the DWT coefficients. This algorithm does not change any information of the original image but combines the information of low frequency DWT coefficients and the watermark image. The combination is the key which is used to extract the watermark. When we need to extract the watermark we can obtain it by divide the key. Because the algorithm does not change any information of the original image it will not affect the quality of the original image. Experimental results show that the proposed algorithm is robust and secure against a wide range of image processing operations. 2011 IEEE.
	Destriping method using lifting wavelet transform of remote sensing image (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: He B. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Based on the characteristic of striping noise in remote sensing images a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery is so large that the algorithm must be fast and effective. The lifting wavelet transform is easily realized and inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the method with some traditional destriping methods both by visual inspection and by appropriate indexes of quality of the denoised images. From the comparison we can see that the adaptive threshold method can preserve the spectral characteristic of the images while effectively remove striping noise and it did better than the existed ones. 2010 IEEE.
	A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文 OAI收割 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China Zhao X.; Fu D.; Zhai L. 收藏 \| 浏览/下载：68/0 \| 提交时间：2013/03/25 Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First decompose and reconstruct the image by wavelet packet. Before constructing the image use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented showing the quality of the proposed method. 2008 IEEE.
	Coma measurement using a PSM and transmission image sensor 期刊论文 OAI收割 optik, 2006, 卷号: 117, 期号: 1, 页码: 21, 25 Wang F; Wang XZ; 马明英; Zhang DQ; Shi WJ; Hu HM 收藏 \| 浏览/下载：1757/343 \| 提交时间：2009/09/18 optical lithography aberrations projection lens image quality Zernike coefficients