A Large-Scale Intertidal Vegetation Classification Method Based on Synthetic Aperture Radar

Abstract

The invention discloses a large-scale intertidal zone vegetation classification method based on synthetic aperture radar, comprising the following steps: measuring the basic conditions of the intertidal zone; subdividing the intertidal zone based on the investigation results of the basic condition of the intertidal zone Region division; generate characteristic spectral data sets, calculate new spectral segments based on original synthetic aperture radar data and synthesize data sets; input training samples, randomly and uniformly select several samples of different ground features; threshold segmentation, extract characteristic spectral data sets based on samples , select an appropriate threshold in the frequency distribution map to distinguish different regions; generate a decision tree, and build a large-scale intertidal vegetation classification system based on the threshold segmentation results of each region; input the region to be classified, and select the corresponding decision tree according to the input region models; generating classification results; post-classification processing; area statistics and cartography. Compared with the traditional small area classification method, the present invention has the advantages of small workload, simple operation, high efficiency, strong robustness and the like.

Description

technical field [0001] The invention relates to the field of object recognition using remote sensing technology, in particular to a large-scale intertidal zone vegetation classification method based on synthetic aperture radar. [0002] technical background [0003] The intertidal vegetation ecosystem is one of the most dynamic ecosystems in coastal areas. Under the background of sea level rise and intensified human activities, intertidal vegetation has undergone significant changes. Quickly grasping its spatial distribution characteristics can be used in many aspects such as blue carbon fixation, wave dissipation and slow flow, biodiversity maintenance, ecological protection, and scientific research. All are of great significance, and intertidal vegetation mapping is one of the important links. [0004] Due to the complex geological conditions and poor accessibility in the intertidal zone, the vegetation classification method based on field surveys cannot be carried out in ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a large-scale intertidal zone vegetation classification method based on synthetic aperture radar in order to solve the current situation that the current remote sensing technology cannot accurately obtain the large-scale surface vegetation coverage in the intertidal zone vegetation classification. According to the differences in the backscatter coefficients of different vegetation types under different polarization modes, a set of intertidal vegetation classification system based on six characteristic spectral bands is proposed, which can be applied to large-scale vegetation classification in intertidal regions and improve classification precision and efficiency

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