中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共9条，第1-9条

帮助

条数/页：排序方式：
	Microstructural evolution and precipitated phase characteristics in the fusion zone for the as-repaired Inconel 718 alloy by directed energy deposition additive manufacturing 期刊论文 OAI收割 MATERIALS CHARACTERIZATION, 2023, 卷号: 204, 页码: 9 作者: Zhang, Yiting; Lan, Liangyun; Shi, Quanqiang \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2024/01/08 As-repaired Inconel 718 alloy Fusion zone Microstructural evolution Precipitated phase characteristics Micro-hardness
	Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning 期刊论文 OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 17, 页码: 11 作者: Liu, Yingjie; Zheng, Quanan; Li, Xiaofeng \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2021/11/30 meososcale eddies abnormal eddies multi-source remote sensing data deep learning data fusion statistical analysis of spatiotemporal characteristics
	Multimodal polarization image simulated crater detection 期刊论文 OAI收割 JOURNAL OF ELECTRONIC IMAGING, 2020, 卷号: 29 作者: Zhang, Xin; Zhang, Jingjing; Wang, Feng; Liu, Xiao; Wu, Jun \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2020/11/26 target detection polarization characteristics multimodal fusion simulated crater
	Fusion characterization of biomass ash 期刊论文 OAI收割 THERMOCHIMICA ACTA, 2016, 卷号: 638, 期号: AUG, 页码: 1-9 作者: Ma, Teng; Fan, Chuigang; Hao, Lifang; Li, Songgeng; Song, Wenli 收藏 \| 浏览/下载：26/0 \| 提交时间：2016/11/21 Biomass ash Fusion characteristics Thermo-mechanical Analyzer (TMA)
	An Algorithm of Remote Sensing Image Fusion Based on Nonsubsampled Contourlet Transform 会议论文 OAI收割 2012 5th International Congress on Image and Signal Processing, New York Xu, Qilong; Zhou, Yi; Wang, Shixin; Li, Wenjun 收藏 \| 浏览/下载：23/0 \| 提交时间：2014/12/07 image fusion nonsubsampled contourlet transform human visual characteristics remotely sensed imagery WAVELET TRANSFORM
	The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Sun H.; Han H.-X.; Sun H. 收藏 \| 浏览/下载：64/0 \| 提交时间：2013/03/25 Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	An efficient color transfer algorithm for recoloring multiband night vision imagery (EI CONFERENCE) 会议论文 OAI收割 Enhanced and Synthetic Vision 2010, April 6, 2010 - April 6, 2010, Orlando, FL, United states 作者: Xu S. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 A color transfer method is presented to give fused multiband nighttime imagery a natural daytime color appearance in a simple and efficient way. Instead of using the traditional nonlinear l space the proposed method transfers the color distribution of the target image (daylight color image) to the source image (fused multiband nighttime imagery) in the linear YCBCR color space. The YCBCR transformation is simpler and more suitable for image fusion compared to the l conversion. The YCBCR transformation can be extended into a general formalism. And the paper mathematically proves that for color transfer using color spaces conforming to this general YC BCR space framework can produce same recoloring results as using the YCBCR space. Experimental results demonstrate that the YCBCR based color transfer method works surprisingly well for transferring natural color characteristics of daylight color images to false color fused multiband nighttime imagery and moreover can also be successfully applied to recoloring a variety of color images. 2010 SPIE.
	Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE) 会议论文 OAI收割 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010, Orlando, FL, United states 作者: Xu S. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.
	An efficient color transfer method for fusion of multiband nightvision images (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China 作者: Xu S. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 We present a color transfer method which is designed to give fused multiband nighttime imagery a natural daytime color appearance in a simple and efficient way. Instead of using traditional nonlinear la space the proposed method transfers the color distribution of the target image (daylight color image) to the source image (fused multiband nighttime imagery) in a linear color space named ICBCR. The ICBCR transformation is simpler than the la conversion moreover the IC BCR space is easily extended to image fusion. Our experiments on infrared and visual images show that the ICBC R based color transfer method works surprisingly well for transferring natural color characteristics of daylight color images to false color fused nighttime imagery. 2009 IEEE.