Method for inverting significant wave height from radar image based on adaptive shadow segmentation threshold
A radar image and segmentation threshold technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of inaccurate segmentation threshold estimation, and achieve the effect of improving inversion accuracy and reducing R&D costs.
Inactive Publication Date: 2022-03-11
LUOYANG NORMAL UNIV
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Aiming at the problem of inaccurate estimation of the shadow segmentation threshold of the navigation radar image, the present invention proposes a shadow threshold segmentation algorithm that can adaptively change with the echo intensity in the radar image and accurately segment the shadow area and non-shadow area of the radar image
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[0056] The following clearly and completely describes the technical solutions in the embodiments of the present invention according to the accompanying drawings.
[0057] The flow chart of the method for inverting effective wave height from radar images based on adaptive shadow segmentation threshold provided by the present invention is shown in the attached figure 1 As shown, the main steps are:
[0058] In the first step, the analysis area is selected from the radar image;
[0059] figure 2 This is the original navigation radar image collected, and the right half of the image with alternating light and dark stripes is the effective observation area for the sea. The X-band radar echo intensity decays exponentially with the distance. Too close to the radar will cause the signal with too strong reflection to be obliterated; too far away from the radar, the radar cannot receive effective echo signals and will be completely buried in the system noise. When the grazing angle c...
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The invention discloses a method for inverting an effective wave height from a radar image based on a self-adaptive shadow segmentation threshold. The measurement method comprises four parts of selecting an analysis area from the radar image, estimating the self-adaptive shadow segmentation threshold, estimating root-mean-square wave steep and inverting the effective wave height. In the process of inverting the significant wave height from an X-band navigation radar image based on a shadow statistical method, a shadow segmentation threshold in the radar image needs to be estimated in advance. According to the adaptive shadow threshold segmentation scheme provided by the invention, the influence of the attenuation of the radar echo intensity along with the distance and the sea condition factor is considered, and the adaptive shadow segmentation threshold can dynamically change along with the distance of the distance radar antenna; and the shadow region and the non-shadow region in the original radar image are accurately segmented to obtain a shadow image. Compared with an existing shadow statistical method, the effective wave height inversion precision is improved, the correlation coefficient reaches 0.81, the root-mean-square variance is 0.31, and the requirements of environmental monitoring and engineering practicability can be met.
Description
technical field [0001] The invention belongs to the technical field of ocean wave parameter inversion by means of remote sensing, and in particular relates to a method for inverting effective wave height from radar images based on an adaptive shadow segmentation threshold. Background technique [0002] Waves are an essential part of ocean physics. In the process of marine development, it is necessary to understand the evolution law of the marine environment. With the rapid development of ocean remote sensing technology, real-time measurement and monitoring of large-area ocean waves using X-band navigation radar has become a research hotspot in recent years. Significant wave height is a key technical index for studying wave fields and an important parameter for characterizing wave energy. At present, the main methods for extracting effective wave height from X-band radar images are spectral analysis method based on traditional 3D fast Fourier transform and shadow statistics...
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IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/136
CPCG06T7/0002G06T7/11G06T7/12G06T7/136G06T2207/10044
Inventor 卫延波许应豪宋会丽雷毅飞连瑞瑶
Owner LUOYANG NORMAL UNIV