Large-scale intertidal zone vegetation classification method based on synthetic aperture radar

Abstract

The invention discloses a large-scale intertidal zone vegetation classification method based on a synthetic aperture radar. The method comprises the following steps: actually measuring the basic situation of an intertidal zone; carrying out intertidal zone partitioning, and carrying out sub-region partitioning on the intertidal zone based on the intertidal zone basic condition investigation result; generating a characteristic spectrum data set, calculating a new spectrum segment based on the original synthetic aperture radar data, and synthesizing the data set; inputting a training sample, andrandomly and uniformly selecting a plurality of samples of different ground objects; carrying out threshold segmentation, extracting a characteristic wave spectrum data set based on a sample, and selecting an appropriate threshold in the frequency distribution diagram to distinguish different regions; generating a decision tree, and constructing a set of large-scale intertidal zone vegetation classification system based on the threshold segmentation result of each region; inputting a to-be-classified region, and selecting a corresponding decision tree model according to the input region; generating a classification result; performing classification post-processing; area statistics and mapping. Compared with a traditional small-area classification method, the invention has the advantages of being small in workload, easy to operate, high in efficiency, high in 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. Accordi

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