基于轻小型无人机雷达的植被高度反演方法

doi:10.12305/j.issn.1001-506X.2022.12.10

Abstract

Abstract:

At present, the mainstream radar sensors are difficult to meet the demands of the light-weighted and small unmanned aerial vehicle (UAV), which usually need high cost of data acquisition and complicate models of algorithm. A highly integrated, lightweight and reliable radar system is designed, which can be carried on the light-weighted and small UAV. Based on this system, a novel method has been developed for vegetation height information inversion. The inversion algorithm suppress the direct coupled wave by two-dimensional filtering, settle the unstable selection of principle component by the adaptive principle component analysis denoising method with residual image entropy, further enhance the target signal by the back-projection algorithm based on cross-correlation information, and finally extract the vegetation height by implementing Sobel operator. The experiment results show that the correlation between the vegetation height derived from the proposed method and the verified data is 0.92, and the root mean square error is 1.28 m.

Key words: light-weighted and small unmanned aerial vehicle (UAV), UAV-radar, modular radar system, vegetation height, inversion

CLC Number:

TN957.52

Zhipeng WU, Ping ZHANG, Zhen LI, Lei HUANG, Chang LIU, Shuo GAO. Vegetation height inversion method based on light-weighted and small UAV-radar[J]. Systems Engineering and Electronics, 2022, 44(12): 3667-3675.

Figures/Tables 12

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Vegetation height inversion method based on light-weighted and small UAV-radar

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