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	Analysis and simulation of the effect of large optical range difference of common path coherent-dispersion spectrometer on the detection of exoplanet radial velocities 期刊论文 OAI收割 Optics Communications, 2024, 卷号: 561 作者: Guan, Shouxin; Liu, Bin; Chen, Shasha; Wu, Yinhua; Wang, Feicheng \| 收藏 \| 浏览/下载：71/0 \| 提交时间：2024/07/17 Coherent-dispersion Radial velocity Optical range difference Inverse tone mapping
	Large-area soil mapping based on environmental similarity with adaptive consideration of spatial distance to samples 期刊论文 OAI收割 GEODERMA, 2023, 卷号: 439, 页码: 116683 作者: Fan, Xingchen; Fan, Naiqing; Qin, Cheng-Zhi; Zhao, Fang-He; Zhu, Liang-Jun \| 收藏 \| 浏览/下载：55/0 \| 提交时间：2023/12/04 Digital soil mapping Environmental similarity Large area Individual Predictive Soil Mapping (iPSM) Inverse distance weight (IDW)
	Soil property mapping by combining spatial distance information into the Soil Land Inference Model (SoLIM) 期刊论文 OAI收割 PEDOSPHERE, 2021, 卷号: 31, 期号: 4, 页码: 638-644 作者: Qin, Chengzhi; An, Yiming; Liang, Peng; Zhu, Axing; Yang, Lin \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2021/06/10 digital soil mapping location of soil sample inverse distance weighting soil organic matter Third Law of Geography
	Soil property mapping by combining spatial distance information into the Soil Land Inference Model (SoLIM) 期刊论文 OAI收割 PEDOSPHERE, 2021, 卷号: 31, 期号: 4, 页码: 638-644 作者: Qin, Chengzhi; An, Yiming; Liang, Peng; Zhu, Axing; Yang, Lin \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2021/06/10 digital soil mapping location of soil sample inverse distance weighting soil organic matter Third Law of Geography
	Inverse field-based approach for simultaneous B-1 mapping at high fields - A phantom based study 期刊论文 OAI收割 JOURNAL OF MAGNETIC RESONANCE, 2012, 卷号: 217, 页码: 27-35 Jin, Jin; Liu, Feng; Zuo, Zhentao; xue, rong; 薛蓉; Li, Mingyan; Li, Yu; Weber, Ewald; Crozier, Stuart 收藏 \| 浏览/下载：39/0 \| 提交时间：2013/12/24 Transmit sensitivity mapping Receive sensitivity (receptivity) mapping B-1 Inverse method Field-based approach Signal intensity Parallel imaging SENSE Iterative optimization Method of moments (MoM)
	Bidirectional structural mapping models for constructing rule-based systems 会议论文 OAI收割 31st Chinese Control Conference, CCC 2012, Hefei, China, July 25, 2012 - July 27, 2012 作者: Yuan J(袁杰); Shang WL(尚文利); Jiang B(姜波); Lou, Yi 收藏 \| 浏览/下载：51/0 \| 提交时间：2013/04/21 UnApplied research Developed model Fuzzy colored Petri nets Fuzzy production rules Inverse mapping Mapping functions Mapping mechanism Mapping model Structural mapping
	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：158/0 \| 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.