中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Soil HONO emissions at high moisture content are driven by microbial nitrate reduction to nitrite: tackling the HONO puzzle 期刊论文  OAI收割
ISME JOURNAL, 2019, 卷号: 13, 期号: 7, 页码: 1688-1699
作者:  
Wu, DM;  Horn, MA;  Behrendt, T;  Muller, S;  Li, JS
  |  收藏  |  浏览/下载:54/0  |  提交时间:2020/07/08
Observation of nitrous acid (HONO) in Beijing, China: Seasonal variation, nocturnal formation and daytime budget 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 卷号: 587, 期号: 0, 页码: 350-359
作者:  
Wang, Zhangwei;  Zhang, Meigen;  Wang, Jiaqi;  Zhang, Xiaoshan;  Guo, Jia
  |  收藏  |  浏览/下载:36/0  |  提交时间:2018/07/24
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:24/0  |  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:27/0  |  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 approach to analyzing the intensity of the daytime surface urban heat island effect at a local scale 期刊论文  OAI收割
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2009, 卷号: 151, 期号: 1, 页码: 289-300
Xu, Shenlai
收藏  |  浏览/下载:35/0  |  提交时间:2015/08/07
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:20/0  |  提交时间:2013/03/25