The Municipality of Puebla is today＇s capital of the fourth most important city of Mexico. During 2009, its city hall ranked infirst place in category of metropolitan city as information and communication technologie...The Municipality of Puebla is today＇s capital of the fourth most important city of Mexico. During 2009, its city hall ranked infirst place in category of metropolitan city as information and communication technologies to reach part of ＂Digital City Award＂. From the strategy to use governmental efficiency, as well as interact with the population and socioeconomic development of the zone, free wireless internet was implemented in 39 areas to facilitate the access to training of citizenship by using this new form of media. The municipality has a population with great economic disparity, which is translated in strong social exclusion, located mainly in housing units and popular colonies with people in situation of hereditary poverty. Because of that, the need of knowing the profile and the consumer habits of mass media communication emerges. The research evaluates identification of actual and potential users of the web2.0, so it can be possible to recognize the chances of intervention in this segment and increase its participation on public character programs and promoting equality of opportunities and the possibility being a participative citizenship that contributes to the local human development.展开更多
In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is proposed.By using Gaussian pyramid to process two multitemporal images respectively,two im...In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is proposed.By using Gaussian pyramid to process two multitemporal images respectively,two image pyramids are constructed.The difference pyramid images are obtained by point-by-point subtraction between the same level images of the two image pyramids.By resizing all difference pyramid images to the size of the original multitemporal image and then making product operator among them,a map being similar to the difference image is obtained.The difference image is generated by point-by-point subtraction between the two multitemporal images directly.At last,the Bayes rule is used to distinguish the changed pixels.Both synthetic and real data sets are used to evaluate the performance of the proposed technique.Experimental results show that the map from the proposed technique is more robust to noise than the difference image.展开更多
文摘The Municipality of Puebla is today＇s capital of the fourth most important city of Mexico. During 2009, its city hall ranked infirst place in category of metropolitan city as information and communication technologies to reach part of ＂Digital City Award＂. From the strategy to use governmental efficiency, as well as interact with the population and socioeconomic development of the zone, free wireless internet was implemented in 39 areas to facilitate the access to training of citizenship by using this new form of media. The municipality has a population with great economic disparity, which is translated in strong social exclusion, located mainly in housing units and popular colonies with people in situation of hereditary poverty. Because of that, the need of knowing the profile and the consumer habits of mass media communication emerges. The research evaluates identification of actual and potential users of the web2.0, so it can be possible to recognize the chances of intervention in this segment and increase its participation on public character programs and promoting equality of opportunities and the possibility being a participative citizenship that contributes to the local human development.
基金the National Basic Research Program(973) of China (No. 2006CB701303)the National High Technology Research and Development Program(863) of China (No. 2006AA12Z105)
文摘In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is proposed.By using Gaussian pyramid to process two multitemporal images respectively,two image pyramids are constructed.The difference pyramid images are obtained by point-by-point subtraction between the same level images of the two image pyramids.By resizing all difference pyramid images to the size of the original multitemporal image and then making product operator among them,a map being similar to the difference image is obtained.The difference image is generated by point-by-point subtraction between the two multitemporal images directly.At last,the Bayes rule is used to distinguish the changed pixels.Both synthetic and real data sets are used to evaluate the performance of the proposed technique.Experimental results show that the map from the proposed technique is more robust to noise than the difference image.
