Forest ground feature imaging inversion method based on interference SAR radar
A technology for forests and ground objects, applied in the field of SAR radar applications, can solve problems such as difficult removal, interference with ground object information, and large speckle noise in SAR image data, so as to achieve the effect of improving accuracy, improving efficiency, and reducing errors
Inactive Publication Date: 2021-06-22
扬州哈工科创机器人研究院有限公司
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[0007] The purpose of the present invention is to provide a forest feature imaging inversion method based on interferometric SAR radar, which solves the problem of large speckle noise in SAR image data in the prior art, which is difficult to effectively remove and seriously interferes with the extraction of feature information and the SAR image. The problem of application effect
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[0037] A method for image retrieval of forest features based on interferometric SAR radar, comprising the following steps:
[0038] Step 1. Obtain a set of SAR image data of the target to be measured, use the point cloud filtering algorithm to realize the extraction of terrain information, and remove non-ground points from the original point cloud; use the asymptotically irregular triangular network encryption filtering algorithm, the specific steps are as follows :
[0039] 1) Carry out median filter denoising on the original point cloud data, remove the noise point cloud, and avoid the impact on the subsequent step algorithm;
[0040]2) Point cloud gridding, set a grid size, divide the denoised point cloud into regular grids according to the x and y coordinates of the spatial points in the point cloud, and divide the lowest elevation point in each regular grid as the initial ground seed point;
[0041] 3) The initial ground seed point is used as the seed point for construc...
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The invention discloses a forest ground feature imaging inversion method based on an interference SAR radar, and the method comprises the steps: achieving the extraction of topographic information through a point cloud filtering algorithm, carrying out the median filtering and denoising of original point cloud data, taking an initial ground seed point as a seed point for constructing an initial triangular irregular network, repeatedly judging the slope and height difference threshold values of the points which are not divided into the ground point cloud until no new ground point is added into the triangulation network, and obtaining the final ground point cloud, so that the accuracy of ground point cloud judgment is greatly improved, and the denoising efficiency is improved. According to the inversion method, errors can be effectively reduced, the method is simple and easy to implement, the method is particularly suitable for inversion of forest parameters, the inversion result of the tree height is closer to the actual height, and actual application of remote sensing images can be better facilitated.
Description
technical field [0001] The invention belongs to the technical field of SAR radar application, and in particular relates to a forest feature imaging inversion method based on interferometric SAR radar. Background technique [0002] As an important part of the terrestrial ecosystem, forests cover about 30% of the earth's land surface and play an important role in the earth's ecosystem and human production and life. In recent decades, as people have become more aware of global climate change, carbon cycle With the general concern of research and sustainable development of human beings, the forest ecosystem has been highly valued by governments and scientists all over the world. It is very important for the ecosystem and human life to grasp the status quo of forest resources and its changing laws in a timely manner. [0003] The monitoring of forest resources can be divided into macro-monitoring at the national level and fine-grained monitoring implemented on hilltop plots. The...
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Login to View More IPC IPC(8): G01S13/90
CPCG01S13/9021G01S13/9023
Inventor 卓然史文彬寇江伟耿凯吕剑杨轩
Owner 扬州哈工科创机器人研究院有限公司