Quantified simulation method for forest remote sensing data of synthetic aperture radar
A technology of remote sensing data and simulation methods, applied in the field of synthetic aperture radar forest remote sensing, can solve problems such as the inability to accurately simulate the complex natural environment of the radar system, the analysis and evaluation of the inversion algorithm affecting the forest parameters, and the too ideal forest remote sensing simulation data.
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[0025] The SAR system is used to carry out quantitative simulation experiments of remote sensing data of forest scenes, and the simulation results are obtained by imaging processing through the back projection (BP) imaging algorithm. In order to verify the correctness of the simulation results, the typical forest height inversion algorithm is used to simulate the images After processing, the forest height inversion result is obtained. The area of the forest plot is 50hm 2 , the number of trees is 7,000, and the tree species are mixed forests of broad-leaved trees and coniferous pine; the SAR flight altitude is 3,000m, the central viewing angle is 45 degrees, the SAR system resolution is 1m, the radar antenna beamwidth is 0.1rad, and the radar works at a wavelength of 0.24 In the L-band of m, the antenna adopts the full polarization method.
[0026] A quantitative simulation method for SAR forest remote sensing data, the implementation process of the technical scheme is as a...
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