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Khang X. Nguyen,Phuc H. Pham,An C.D. Nguyen,Chuc T. Nguyen,Tung T. Nguyen,Phong D. Tran,Nam T.S. Phan 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.92 No.-
A Fe-Mo-Se nanopowder, synthesized by a solvothermal protocol, was utilized as a heterogeneouscatalyst for the synthesis of 2-arylquinazolines from DL-α-phenylglycine-based α-amino acids and2-nitrobenzyl alcohols via domino transformations. High yields and selectivity were achieved undersolvent-free conditions. The Fe-Mo-Se catalyst offered considerably higher activity than numeroushomogeneous and heterogeneous catalysts. To our best knowledge, this domino reaction is new, and theutilization of iron-molybdenum selenide catalyst in the synthesis of quinazolines was not previouslyreported.
Comparison of various image fusion methods for impervious surface classification from VNREDSat-1
Hung V. Luu,Manh V. Pham,Chuc D. Man,Hung Q. Bui,Thanh T.N. Nguyen 국제문화기술진흥원 2016 International Journal of Advanced Culture Technolo Vol.4 No.2
Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.
Comparison of various image fusion methods for impervious surface classification from VNREDSat-1
Luu, Hung V.,Pham, Manh V.,Man, Chuc D.,Bui, Hung Q.,Nguyen, Thanh T.N. The International Promotion Agency of Culture Tech 2016 International Journal of Advanced Culture Technolo Vol.4 No.2
Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.