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	Efficient spatiotemporal context modeling for action recognition 期刊论文 OAI收割 NEUROCOMPUTING, 2023, 卷号: 545, 页码: 13 作者: Cao, Congqi; Lu, Yue; Zhang, Yifan; Jiang, Dongmei; Zhang, Yanning \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2023/11/17 Action recognition Long -range context modeling Spatiotemporal feature map Attention module Relation
	Moon Imaging Technique and Experiments Based on Sanya Incoherent Scatter Radar 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14 作者: Li, Mingyuan; Yue, Xinan; Wang, Yonghui; Wang, Junyi; Ding, Feng \| 收藏 \| 浏览/下载：63/0 \| 提交时间：2022/07/18 Moon Radar Radar imaging Imaging Surface waves Observatories Signal resolution Moon north-south ambiguity range-Doppler (RD) map Sanya incoherent scatter radar (SYISR)
	Robust dense reconstruction by range merging based on confidence estimation 期刊论文 OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2016, 卷号: 59, 期号: 9 Chen, YD; Hao, CY; Wu, W; Wu, EH \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2016/12/09 stereo matching 3D reconstruction textureless regions outliers details loss range map
	Adaptive enhancement of sea surface targets in infrared high dynamic range image 会议论文 OAI收割 Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015 作者: Dong S(董帅); Qi L(亓琳) 收藏 \| 浏览/下载：43/0 \| 提交时间：2015/11/18 adaptive bilateral filter saliency map sea surface high dynamic range image enhancement
	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：92/0 \| 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.
	Usefulness of Species Range Polygons for Predicting Local Primate Occurrences in Southeastern Peru 期刊论文 OAI收割 AMERICAN JOURNAL OF PRIMATOLOGY, 2011, 卷号: 73, 期号: 1, 页码: 53-61 作者: Palminteri S[*]; Powell G; Endo W; Kirkby C; Yu DW 收藏 \| 浏览/下载：25/0 \| 提交时间：2011/01/29 transect survey data species range range map occupancy
	Design of a scene simulator in land-based aerospace lab with the man-made light source system based on quantum theory (EI CONFERENCE) 会议论文 OAI收割 Optoelectronic Devices and Integration II, November 12, 2007 - November 15, 2007, Beijing, China 作者: Fang W.; Yi W. 收藏 \| 浏览/下载：46/0 \| 提交时间：2013/03/25 The paper presents a method with the technique of combination filtering of spectrum and the technique of DSP control for the simulation and recognition of the spontaneously lightening object and stellar map in the universe. The magnitude and the spectrum of a star can be simulated in a wide dynamic range. We established the mathematical models of the Vega's visible light spectrum and luminous flux density. Tungsten-halogen lamp as a light source is used to fit the linear light of the spontaneously lightening object in the universe. Through the experiment it shows that the more sub-channels there are while filtering spectrum in the visible spectrum and the more degrees the variable neutral density filters and the narrow-band attenuators have more close to the actual spectrum the simulated spectrum is. It is proved that using the PID technique is beneficial to the output of the accurate and steady radiation from the light sources. The experiment shows that the using of this method can get perfect result in fitting and simulating the spectrum magnitude and the stellar map of the spontaneously lightening object . The analysis of the consistent result and the experimental error is also discussed in detail in this paper.