ABSTRACT
An effective endmembers based bilinear unmixing algorithm is prompted in the present paper together with an end-member subset selection algorithm as well. Firstly, the endmembers are ranked according to their distance to the mixed pixel, involving the Euclidean distance and spectral angle. And then, an effective subset of the endmembers is abstracted considering both the ranking result and the change of error. The algorithm reduces the influence of endmembers which are not component of the mixed pixel, decrease the number of endmembers involved in unmixing and improve the accuracy of abundance. The test results for simulation image prove that the algorithm would provide a lower reconstructing error. And the analysis results of actual airborne hyperspectral oil spill image further illustrate its effectiveness.
ABSTRACT
OBJECTIVE: To analyze 21 cases of rabies from February 8 to May 1 in 2004 in Anlong county in Guizhou province, and to explore the possible factors causing the epidemics. METHODS: 21 cases of rabies were investigated. The canine brains were collected, and indirect immunofluorescence assay was used to detect rabies virus antigen in the brains. RESULTS: From February 8 to May 1st in this year, 21 cases of rabies were reported, with 5.12/100,000 of the prevalence rate. Dogs accounted for 20 cases, and cat for one case. Median incubation period was 36.52 days, but less than 15 days in 6 cases. Among 21 cases, 17 cases were not correctly treated, and 9 cases received vaccine, with 3 cases vaccinated in time. No cases received passive immunization of antirabies serum or human antirabies immune globulin. A total of 73 dogs' brains were examined for rabies viral antigen by IFA, and 9 (12.33%) were positive. CONCLUSION: The increasing number of dog, high rate of virus carrier in dogs, incorrect treatment of the wound, and as well as low inoculating rate of rabies vaccine might be responsible for the outbreak of rabies in Anlong county.
