Abstract: Provided are a high temperature-resistant composite nanofiltration membrane and a preparation method thereof. The high temperature-resistant composite nanofiltration membrane includes a base membrane and a polyamide membrane arranged on the base membrane; wherein the polyamide membrane is prepared from raw materials comprising: an amine, an inorganic salt, a silane additive, a polyacyl chloride, and an oil phase solvent; and the silane additive is at least one selected from the group consisting of 3-aminopropyltriethoxysilane, divinyltriaminopropyltrimethoxysilane, N-cyclohexyl-?-aminopropyltrimethoxysilane, and trimethoxy[3-(phenylamino)propyl]silane.

Abstract: The present disclosure provides a method and system for identifying plant species based on hyperspectral data, wherein the method includes: performing atmospheric radiation correction for the hyperspectral data of plants to be identified adopting Linear Regression method, to obtain corrected hyperspectral data, wherein, the hyperspectral data of the plants to be identified are collected by a hyperspectral ground object spectrometer provided within an unmanned aerial vehicle (UAV); performing external parameter orthogonalisation (EPO) processing for the corrected hyperspectral data; performing first order differential processing for the EPO processed hyperspectral data, to obtain hyperspectral data highlighting absorption peak information; performing discrete wavelet transformation processing for the hyperspectral data highlighting the absorption peak information, to obtain wavelet coefficients corresponding to the plants to be identified.

Abstract: The present disclosure provides a method and system for identifying plant species based on hyperspectral data, wherein the method includes: performing atmospheric radiation correction for the hyperspectral data of plants to be identified adopting Linear Regression method, to obtain corrected hyperspectral data, wherein, the hyperspectral data of the plants to be identified are collected by a hyperspectral ground object spectrometer provided within an unmanned aerial vehicle (UAV); performing external parameter orthogonalisation (EPO) processing for the corrected hyperspectral data; performing first order differential processing for the EPO processed hyperspectral data, to obtain hyperspectral data highlighting absorption peak information; performing discrete wavelet transformation processing for the hyperspectral data highlighting the absorption peak information, to obtain wavelet coefficients corresponding to the plants to be identified.