Method of extracting values of pixels corresponding to rubber forest from remote-sensing image

Abstract

The invention relates to a method of extracting values of pixels corresponding to a rubber forest from a remote-sensing image. The method of extracting the values of the pixels corresponding to the rubber forest from the remote-sensing image includes the following steps: 1, pixels on the boundary of the rubber forest are filtered; 2, abnormal pixels of a forest segment are removed; 3, an average value of the rubber forest pixels is calculated out and derived. The pixels of the rubber forest are selectively removed and problems of impure pixels and even abnormal values are effectively solved, wherein the problems are caused by continuously broken plants and leakage of plants in a windbreak forest, a road forest and a medium and old aged rubber forest which are caused by a tycoon. The accuracy of pixel values of the rubber forest is improved. The method of extracting the values of the pixels corresponding to the rubber forest from the remote-sensing image is beneficial to setting a mathematical model between ground observation data and the remote-sensing image and is a data processing method which is suitable for exacting pixels corresponding to a rubber forest from a resolution ratio remote-sensing image.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a method for extracting a pixel value corresponding to a ground object from a remote sensing image, in particular to a method for extracting a pixel value corresponding to a rubber forest from a remote sensing image, which can be used for Inversion of biophysical parameters of rubber forest canopy from medium-resolution remote sensing images. Background technique [0002] Plants obviously absorb the red and blue bands of visible light, relatively reflect green light, and strongly reflect near-infrared bands. Due to differences in physical parameters such as leaf shape and size, canopy characteristics, water content, and ground background, the spectral characteristics of plants are also different. same, so it is possible to apply remote sensing technology to retrieve the biophysical parameters of the vegetation canopy [0003] Rubber tree (Hevea brasiliensis...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for extracting the corresponding pixel value of the rubber forest from the remote sensing image, adopting the method of selectively removing the pixels of the rubber forest to effectively solve the problems caused by continuous broken plants and lack of Impurity or even outliers in remote sensing images caused by plant strains. Improving the accuracy of pixel values ​​of rubber forests is conducive to the establishment of a mathematical model between image data and ground observation data. It is a suitable method for distinguishing Data processing method for extracting pixel values ​​corresponding to rubber forest from high-rate remote sensing images

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