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Wireless indoor localization is crucial in ubiquitous computing environments. Although accurate and efficient indoor localization can be provided in dense wireless networks, most existing algorithms fail to locate a mobile user in sparse deployment networks. In order to address this issue, this paper presents a new fingerprinting localization algorithm based on cost function where received signal...
To study properties about land features information extraction of HJ-1A CCD1 remote environment monitoring images, this paper selected the east area of Nileke forest farm in western Tianshan mountains of China as the study area, used maximum-likelihood classifier, Mahalanobis distance classifier, minimum distance classifier and K-means classifier to classify, compare and analyze at two different scales...
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