中国科学院机构知识库网格
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An effective accuracy assessment indicator for credible land use change modelling: Insights from hypothetical and real landscape analyses 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2020, 卷号: 117, 页码: 1-9
作者:  
Lu, Da;  Gao, Guangyao;  Lu, Yihe;  Ren, Yanjiao;  Fu, Bojie
  |  收藏  |  浏览/下载:25/0  |  提交时间:2021/08/31
Accuracy improvement of calibration-free laser-induced breakdown spectroscopy 期刊论文  OAI收割
PLASMA SCIENCE & TECHNOLOGY, 2019, 期号: 3, 页码: 10
作者:  
Fu, Hongbo;  Ni, Zhibo;  Wang, Huadong;  Jia, Junwei;  Dong, Fengzhong
  |  收藏  |  浏览/下载:50/0  |  提交时间:2019/12/25
Corner detection using Gabor filters 期刊论文  OAI收割
iet image processing, 2014, 卷号: 8, 期号: 11, 页码: 639-646
作者:  
Zhang, Wei-Chuan;  Wang, Fu-Ping;  Zhu, Lei;  Zhou, Zuo-Feng
收藏  |  浏览/下载:54/0  |  提交时间:2015/03/19
An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  
Yu P.;  Yu P.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.  
A comparison study of the simulation accuracy between WRF and MM5 in simulating local atmospheric circulations over Greater Beijing 期刊论文  OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2012, 卷号: 55, 期号: 3, 页码: 418-427
作者:  
Liu ZhenXin;  Liu ShuHua;  Hu Fei;  Li Ju;  Ma YanJun
  |  收藏  |  浏览/下载:23/0  |  提交时间:2021/02/02
A comparison study of the simulation accuracy between WRF and MM5 in simulating local atmospheric circulations over Greater Beijing 期刊论文  OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2012, 卷号: 55, 期号: 3, 页码: 418-427
作者:  
Liu ZhenXin;  Liu ShuHua;  Hu Fei;  Li Ju;  Ma YanJun
  |  收藏  |  浏览/下载:143/0  |  提交时间:2021/02/02
Precise motion compensation based on weighted sub-pixel image matching (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
Liang H. G.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
This paper proposed a sub-pixel image correlation algorithm that can get more Precise result  its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image  the relativity of correspond location where match best with template will be most high  and in its neighbour range  the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy  the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one  we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper  some experiment data be proposed  it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.  
基于分类的视觉跟踪算法研究 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2009
陈铎文
收藏  |  浏览/下载:34/0  |  提交时间:2015/09/02
High Order Multi-Moment Constrained Finite Volume Method. Part I: Basic Formulation 期刊论文  OAI收割
Journal of Computational Physics, 2009, 卷号: 228, 期号: 10, 页码: 3669-3707
作者:  
Satoshi I;  Xiao F(肖锋);  Xiao F
收藏  |  浏览/下载:1263/140  |  提交时间:2009/08/03