Under-forest terrain inversion method and device, equipment and medium

Abstract

The invention discloses an under-forest terrain inversion method and device, equipment and a medium, wherein the method comprises the steps: obtaining double-station TanDEM-X data of an under-forest terrain inversion region, carrying out interference processing, and obtaining an interference phase and a body incoherence coefficient; removing flat ground, simulated terrain, noise, orbit error and other phases from the interferometric phase to obtain a residual terrain phase; reconstructing a high-precision InSAR terrain phase by using the residual terrain phase and the simulated terrain phase;constructing an under-forest inversion model, carrying out compensating calculation in combination with ICESat-2 ground height measurement points, and solving unknown parameters in the model; and calculating the under-forest topographic data of the whole inversion area according to the under-forest inversion model by using the body incoherence coefficient and the high-precision InSAR terrain phaseinformation. The method is a stable and feasible under-forest terrain estimation method, and can be widely applied to TanDEM-X data measurement of the under-forest terrain height in a large range.

Description

technical field [0001] The present invention relates to the field of geodesy based on synthetic aperture radar interferometry (InSAR), specifically refers to a method, device, equipment and medium for understory terrain inversion based on dual-station TanDEM-X data. Background technique [0002] Digital elevation model (DEM) is an indispensable basic map for national economic construction, social development and national security. In particular, high-precision terrain height information under the overburden layer (such as: forest terrain) is of great significance to the fields of natural resource investigation, infrastructure construction, national economic development, and national defense security. At present, in order to obtain high-precision terrain height information, Synthetic Aperture Radar (InSAR), LiDAR technology and optical remote sensing technology are currently commonly used technical means. Among them, InSAR technology has the advantages of all-weather, all-ti...

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Problems solved by technology

Among them, the first type of method usually needs to rely on a large amount of external auxiliary data (such as: temperature data, precipitation data, low-resolution vegetation height data) for modeling, and in order to obtain high-precision forest terrain results, it usually requires research Certain prior information of the region, and the accuracy of the auxiliary data and the selection of the model further limit the practicability of this method; compared with the first method, the second method requires multi-polarization data to separate the surface scattering information, Due to the lack of spaceborne SAR systems that can obtain multi-polarization data, the current method can only conduct related experiments through airborne SAR data, which limits the acquisition of large-scale forest terrain

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