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Tiangong-2 imaging altimeter effective wave height inversion method based on deep learning

A technology of imaging height and significant wave height, which is applied in the field of remote sensing, can solve the problems of small observation and inversion range, and achieve the effects of easy implementation, accurate inversion results and high efficiency

Active Publication Date: 2020-11-17
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

The traditional space-borne altimeter can only perform one-dimensional line observation of sub-satellite points along the flight direction, the swath width is only a few kilometers, and the observation and inversion range is small

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  • Tiangong-2 imaging altimeter effective wave height inversion method based on deep learning
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  • Tiangong-2 imaging altimeter effective wave height inversion method based on deep learning

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0030] Tiangong-2 imaging altitude can calculate the first-order moment, second-order moment, third-order moment, amplitude spectrum and phase spectrum of the image after receiving the backscatter coefficient reflected from the sea surface. These parameter information are closely related to the effective wave height, and the powerful nonlinear function of the deep neural network can be used to fit the relationship between these parameters to realize the inversion of the effective wave height.

[0031] A deep learning-based inversion method for the effective wave height of the Tiangong-2 imaging altimeter of the present invention, see figure 1 shown, including the following process:

[0032] St...

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Abstract

The invention discloses a Tiangong-2 imaging altimeter effective wave height inversion method based on deep learning. The specific inversion process is as follows: obtaining a backscattering coefficient, an incident angle and image parameters from Tiangong-2 mage data, wherein the image parameters comprise image amplitude spectrum, image phase spectrum, image first moment, image second moment andimage third moment data; acquiring sea surface wind speed; and based on the obtained backscattering coefficient, incident angle, image parameter and sea surface wind speed, calculating by adopting a preset Tiangong-2 imaging altimeter effective wave height deep learning inversion model to obtain an effective wave height. According to the invention, the technical problem that a traditional altimeter can only carry out one-dimensional observation inversion of a sub-satellite point is solved, and wide-swath effective wave height inversion of two-dimensional observation data is realized.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and in particular relates to a method for retrieving effective wave height of the Tiangong-2 imaging altimeter based on deep learning. Background technique [0002] Ocean waves are the most common phenomenon in the ocean and are closely related to human activities. Its wave height, wave direction and other factors have an important impact on ocean development. The Tiangong-2 imaging altimeter uses a small incident angle, dual antennas and dual-channel receivers to obtain coherent sea surface echoes. By processing the interferometric phase, the height value of the mean sea surface is determined. Tiangong-2 is the first satellite in the world to achieve wide swath height measurement. It is feasible to use Tiangong-2 imaging altimeter to measure sea surface wave height. [0003] Significant wave height is a component of the wave element. Its inversion can be carried out according to the r...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G01S7/48
CPCG06N3/08G01S7/4802G06V20/13G06N3/045G06F18/22
Inventor 郭朝刚艾未华乔俊淇刘茂宏
Owner NAT UNIV OF DEFENSE TECH
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