Hyperspectral reflectance data spectrum characteristics extracting method based on global sensitivity analysis
A sensitivity analysis and spectral feature technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of poor universality and scalability, no consideration of separability, large amount of calculation, etc., to achieve strong The effect of generalizability and generalizability
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[0031] In order to better understand the technical solution of the present invention, the specific implementation of the present invention will be described below in conjunction with the problem of using leaf hyperspectral reflectance data to detect crop damage caused by herbicides:
[0032] The present invention is realized under the Microsoft Visual Studio2008 language environment. The input data included: hyperspectral reflectance data for soybean and cotton leaves that were not sprayed with herbicide, sprayed with 0.217 kg ae / ha herbicide, and sprayed with 0.433 kg ae / ha herbicide. The method specifically includes the following steps:
[0033] Step 1: Sensitivity analysis.
[0034] The PROSPECT model (leaf optical PROperty SPECTra model) is a model used to simulate the optical properties of green plant leaves in the visible and near-infrared bands. The input parameters of the model are leaf structure parameters N, chlorophyll content C a+b , Moisture content C w and dr...
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