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	SIMSF: A Scale Insensitive Multi-Sensor Fusion Framework for Unmanned Aerial Vehicles Based on Graph Optimization 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 118273-118284 作者: Dai B(代波); He YQ(何玉庆); Yang LY(杨丽英); Su Y(苏赟); Yue, Yufeng \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2020/08/01 Global Positioning System Optimization State estimation Cameras Robustness Sensor fusion Multi-sensor fusion graph optimization fusion framework scale insensitive unmanned aerial vehicle state estimation
	An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications 期刊论文 OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 24 作者: Guan, Hongcan; Su, Yanjun; Hu, Tianyu; Chen, Jin; Guo, Qinghua \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/01/06 spatiotemporal data fusion object-based framework similar pixel vegetation mapping
	An interventionist-behavior-based data fusion framework for guidewire tracking in percutaneous coronary intervention 期刊论文 OAI收割 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2018, 卷号: 0, 期号: 0, 页码: 0 作者: Zhou XH(周小虎); Bian GB(边桂彬); Xie XL(谢晓亮); Hou ZG(侯增广) \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2019/06/28 Data Fusion Framework Interventionalist Behavior Pci Guidewire Tracking
	An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model SCI/SSCI论文 OAI收割 2013 作者: Wang J.; Wang J. 收藏 \| 浏览/下载：30/0 \| 提交时间：2014/12/24 image fusion reflectance Landsat MODIS principal component analysis landsat surface reflectance cloud-cover assessment ecosystem productivity generation algorithm framework dynamics fluxes carbon
	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：56/0 \| 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：23/0 \| 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.