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	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：34/0 \| 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.
	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：25/0 \| 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.
	An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文 OAI收割 2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China 作者: Li S. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block sums the gray value of each R-block pixel encodes the R-block according to the gray value distribution of R-block with the adjacent R-block and matches by step between the template and each search sub-image. Then fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise and it also has the stability of small-angle rotation. 2009 IEEE.
	A method tor auto-extraction of spectral lines based on convolution type of wavelet packet transformation 期刊论文 OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 卷号: 26, 期号: 2, 页码: 372-376 作者: Liu, ZT; Wu, FC; Luo, AL; Zhao, YH 收藏 \| 浏览/下载：22/0 \| 提交时间：2015/11/07 convolution type of wavelet packet local correlation algorithm astronomical spectra spectral line extraction
	A method tor auto-extraction of spectral lines based on convolution type of wavelet packet transformation 期刊论文 OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 卷号: 26, 期号: 2, 页码: 372-376 作者: Liu, ZT; Wu, FC; Luo, AL; Zhao, YH 收藏 \| 浏览/下载：17/0 \| 提交时间：2017/03/14 convolution type of wavelet packet local correlation algorithm astronomical spectra spectral line extraction