The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The purpose of this paper is to study the spatio-temporal changes of cultivated land and driving factors in Shandong Province. The temporal change was based on the economical statistic data from 1952 to 1993. Economical statistic data included gross cultivated land, population, foodstuff output per capita, Gross National Product, national income, total value of agriculture and industry product. The...
Electroencephalogram (EEG) activity in Male human during pleasant and unpleasant emotions by different events was investigated. When the subjects were listening to pleasant music and noise, the EEG data comparing pleasant and unpleasant states were obtained. Related emotional theta band was studied by using Principal Component Analysis of EEG data, meanwhile extracting the first principal component,...
Based on the characteristics of mining landscape ecology, a mining landscape ecology evaluation system which integrates with remote sensing and PCA is established in this paper. This system provide the function of screening the dominate factor for evaluating mining landscape ecology, and the ecology quality of each sub-area can be evaluated and ranked. Empirical study result shows that the evaluation...
Kernel Entropy Component Analysis (KECA) is a new spectral method which has been proposed recently. Via a kernel-based Renyi entropy estimator which is expressed in terms of projections onto kernel feature space principal axes, it directly related to the Renyi entropy of the input space data set. In the KECA, choice of kernel functions must be obey Mercer's condition. Means the kernel function used...
Based on the detailed analysis of PCA transform, WT transform and IHS transform, a new fusion method was presented-PWI transformation: First, multispectral image was transformed by HIS, and then the obtained brightness component-I was transformed by PCA to extract the first principal component- PC1. Using wavelet transform, the PC1 and panchromatic images were fused, and then the results were used...
A color image compression algorithm based on quaternion neural network approach is proposed. The original RGB based color image of Lena can be firstly modeled as pure imaginary quaternion matrix, i.e. any pixel of R,G,B corresponding to the I,J,K imaginary axis , to ensure the integrity of pixel in the computation. The obtained quaternion matrix can be split up into 8 × 8 sub-blocks and vector quantization...
A kind of Embedded System for Protecting Certificate Against Forgery is developed by combining with the Face Recognition and Two-Dimensional Barcode in order to help us identify the authenticity of certificate more easily. The system can accomplish the work of detecting and tracking the human face which is captured and collected by USB camera precisely with the help of motion tracking algorithm and...
The automatic recognition of images has been always one of preceding issues in the filed of remote sensing. From traditional algorithm of K-Means, maximum likelihood to new decision tree, neural networks, wavelet transform and fuzzy recognition system, the classification accuracy has been improved. In this work, based on Decision Tree Classification (DTC) and Landsat ETM+ data, Ejina Oasis land cover...
Extracting mineralization and alteration information and acquiring spatial distribution features of alteration rocks can be more efficient through digital image processing methods, combined with spectral analysis of rock and minerals, this paper introduced an effective information extraction method based on remote sensing image. An ASTER image covering middle cambrian mountainous area in Gejiu, Yunnan...
This paper proposed a new feature extraction method for lip-reading, named DCT+LSDA. Discrete Cosine Transform (DCT) is a popular method used to reduce the dimension of the data and it has been very efficient in lipreading. Linear Discriminant Analysis (LDA) is a method to study the class relationship between data points, it is very useful method for dimensionality reduction and feature extraction...
A novel method for infrared face recognition based on radiative energy is proposed in this paper. To reduce the influence of environmental temperature, the raw thermal images are transformed to the radiative energy images by Stefan-Boltzmann Law. Block-PCA instead of whole PCA is utilized to get the local discrimination information, which can solve the small sample size problem (the null space problem)...
This paper copes with infrared (IR) face recognition on time-lapse data, which result in significantly decline of recognition rate. In order to eliminate the effects of the ambient temperature, psychological and physiological factors on infrared imaging, the block-PCA is proposed for feature extraction. The method calculates the standard deviation of each principal component, which is utilized to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.