中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共14条,第1-10条 帮助

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A New Method for Crop Type Mapping at the Regional Scale Using Multi-Source and Multi-Temporal Sentinel Imagery 期刊论文  OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 9, 页码: 2466
作者:  
Wang, Xiaohu;  Fang, Shifeng;  Yang, Yichen;  Du, Jiaqiang;  Wu, Hua
  |  收藏  |  浏览/下载:19/0  |  提交时间:2023/06/10
Vehicle-to-grid management for multi-time scale grid power balancing 期刊论文  OAI收割
ENERGY, 2021, 卷号: 234, 页码: 9
作者:  
Li, Shuangqi;  Gu, Chenghong;  Zeng, Xianwu;  Zhao, Pengfei;  Pei, Xiaoze
  |  收藏  |  浏览/下载:50/0  |  提交时间:2021/11/04
Understanding Urban Expansion on the Tibetan Plateau over the Past Half Century Based on Remote Sensing: The Case of Xining City, China 期刊论文  OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 1, 页码: 23
作者:  
Pan, Xinhao;  Wang, Yihang;  Liu, Zhifeng;  He, Chunyang;  Liu, Haimeng
  |  收藏  |  浏览/下载:31/0  |  提交时间:2021/03/15
A multi-time scale solution strategy for an elastomeric aircraft 期刊论文  OAI收割
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 卷号: 103, 页码: 13
作者:  
Yang L(杨磊);  Sun QH(孙泉华)
  |  收藏  |  浏览/下载:47/0  |  提交时间:2020/08/26
Assessing GRACE-based terrestrial water storage anomalies dynamics at multi-timescales and their correlations with teleconnection factors in Yunnan Province, China 期刊论文  OAI收割
JOURNAL OF HYDROLOGY, 2019, 卷号: 574, 页码: 836-850
作者:  
Han, Zhiming;  Huang, Shengzhi;  Huang, Qiang;  Leng, Guoyong;  Wang, Hao
  |  收藏  |  浏览/下载:68/0  |  提交时间:2019/09/24
Computer virtual experiment on fluidized beds using a coarse-grained discrete particle method-EMMS-DPM 期刊论文  OAI收割
CHEMICAL ENGINEERING SCIENCE, 2016, 卷号: 155, 期号: NOV, 页码: 314-337
作者:  
Lu, Liqiang;  Xu, Ji;  Ge, Wei;  Gao, Guoxian;  Jiang, Yong
收藏  |  浏览/下载:53/0  |  提交时间:2016/12/13
CFD optimization of feedstock injection angle in a FCC riser 期刊论文  OAI收割
CHEMICAL ENGINEERING SCIENCE, 2016, 卷号: 153, 期号: OCT, 页码: 58-74
作者:  
Chen, Sheng;  Fan, Yiping;  Yan, Zihan;  Wang, Wei;  Liu, Xinhua
收藏  |  浏览/下载:32/0  |  提交时间:2016/10/20
近130年来中亚干旱区典型流域气温变化及其影响因子/Temperature variability and its possible causes in the typical basins of the arid Central Asia in recent 130 years[J] 期刊论文  OAI收割
地理学报, 2014, 卷号: 69, 期号: 3, 页码: 291-302
作者:  
姚俊强;  刘志辉;  杨青;  刘洋;  李诚志
  |  收藏  |  浏览/下载:23/0  |  提交时间:2017/12/29
A real-time multi-scale 2-D Gaussian filter based on FPGA 会议论文  OAI收割
International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014
作者:  
Luo HB(罗海波);  Gai XQ(盖兴琴);  Chang Z(常铮);  Hui B(惠斌)
收藏  |  浏览/下载:29/0  |  提交时间:2014/12/29
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:77/0  |  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.