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	Performance Evaluation of Multi-Typed Precipitation Products for Agricultural Research in the Amur River Basin over the Sino-Russian Border Region 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 10, 页码: 2577 作者: Zhou, Yezhi; Wang, Juanle; Grigorieva, Elena; Li, Kai; Xu, Huanyu \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/07/14 precipitation estimation scenario analysis intensity recognition agricultural drought Amur River Basin
	An accurate fringe extraction model of small- and medium-sized urban areas using multi-source data 期刊论文 OAI收割 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 卷号: 11, 页码: 1118953 作者: Li, Jianfeng; Peng, Biao; Liu, Siqi; Ye, Huping; Zhang, Zhuoying \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2023/07/14 landscape disorder degree kernel density estimation (KDE) night light intensity geographical detector (Geodetector) urban fringe
	High-Accurate Quantitative Phase Imaging Based on the Transport of Intensity Equation and Wavelet Transform 期刊论文 OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72 作者: Fan, Chen; Zhao, Hong; Zhao, Zixin; Li, Junxiang; Du, Yijun \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2023/08/01 Estimation Wavelet transforms Lighting Imaging Image resolution Fitting Mathematical models Computational imaging phase retrieval quantitative phase imaging (QPI) transport of intensity equation (TIE) wavelet transform (WT)
	Sampling Time Adaptive Single-Photon Compressive Imaging 期刊论文 OAI收割 IEEE PHOTONICS JOURNAL, 2019, 卷号: 11, 期号: 3 作者: Wang, Hui; Yan, Qiurong; Li, Bing; Yuan, Chenglong; Wang, Yuhao \| 收藏 \| 浏览/下载：97/0 \| 提交时间：2019/06/27 Time-adaptive sampling single photon compressive imaging threshold of light intensity estimation accuracy
	Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units 期刊论文 OAI收割 IEEE ACCESS, 2019, 卷号: 7, 页码: 150743-150756 作者: Zhang, Yong; Fan, Yanbo; Dong, Weiming; Hu, Bao-Gang; Ji, Qiang \| 收藏 \| 浏览/下载：67/0 \| 提交时间：2020/03/30 Gold Estimation Hidden Markov models Training Face Task analysis Neural networks Facial action units intensity estimation deep learning weakly supervised learning
	Extracting the centroid of the light spot by two-dimensional sigmoid fitting 期刊论文 OAI收割 Optical Engineering, 2018, 卷号: 57, 期号: 10, 页码: 104113（1-7）作者: Hui Zhang; Guoping Li; Yong Zhang; Shouwei Hu \| 收藏 \| 浏览/下载：127/0 \| 提交时间：2019/02/03 centroid estimation subpixel edge detection intensity profile fitting optical sensing
	Flood loss analysis and quantitative risk assessment in China SCI/SSCI论文 OAI收割 2012 Li K. Z.; Wu S. H.; Dai E. F.; Xu Z. C. 收藏 \| 浏览/下载：34/0 \| 提交时间：2012/09/04 Loss risk Intensity-loss curve Loss rate The Possibility of flood occurrence damage estimation information management curves
	Chirp estimation of PZT for integrating-bucket method (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China 作者: Zhang J.; Liu W.; Zhang J.; Zhang J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 The nonlinear response of the PZT for the integrating bucket method is studied by our proposed method: discrete chirp Fourier transform (DCFT) and maximum likelihood estimation (MLE) techniques for the integrating bucket method. Based on the signal processing theory the intensity obtained from CCD is processed by the DCFT and thus nonlinear response and chirp coefficient of the PZT can be coarsely estimated. This is followed by the MLE method in which an iterative optimization process is complemented for accurately estimating the nonlinear response and chirp coefficient of the PZT. One key advantage of the proposed method is that not only the nonlinear response and chirp coefficient of the PZT can be acquired but also initial phase acquired. Our method is tested by simulating conditions under which a certain magnitude of nonlinearity is assumed. Nonlinear response attained by the DCFT is compared to that attained by the MLE and a difference between the actual nonlinear response of the PZT and our accurate estimation by the proposed method is revealed. Several factors that will have influence on the nonlinear response of the PZT are discussed. 2010 Copyright SPIE - The International Society for Optical Engineering.
	Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.