Extraction method of water body thematic information of remote sensing image based on sequential nonlinear filtering

Abstract

The invention belongs to the technical field of remote sensing, and in particular relates to an extraction method of water body thematic information of remote sensing images based on sequential nonlinear filtering. The method comprises the following four steps: preprocessing remote sensing images and completing sequential nonlinear filtering; calibrating filtering result image areas and calculating the feature values of each calibrated area; establishing the selection criteria of water body target areas; and carrying out automatic extraction of water body areas and post-processing of water body thematic extraction information based on morphology so as to generate thematic information vector data meeting the requirements of common GIS software finally. The extraction method, starting with the basic operation of grey-scale mathematical morphology, establishes a sequential nonlinear filtering model to directly carry out nonlinear filtering and extract water body areas in remote sensing images; according to relevant knowledge of water body, feature values of different water body areas extracted through sequential nonlinear filtering are calculated; according to water body imaging characteristics and relevant knowledge of water body areas, the selection criteria of the water body target areas are established to realize automatic and quick extraction of water body thematic information on remote sensing images. The extraction method is less influenced by noise and error and has strong robustness; moreover, the method realizes fully automatic processing of extraction water body without manual intervention, can process extensive data, and has less time consumption.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and in particular relates to a method for extracting water body thematic information from remote sensing images based on sequence nonlinear filtering. Background technique [0002] Water body is important thematic information, which is of great value for geoscience analysis and is a kind of basic thematic information data. It is of great significance to the management and construction of various geographic information systems. Extracting water body information from remote sensing images is a fast and up-to-date method. At present, the methods of using remote sensing images to extract thematic information of villages and towns include: manual methods, semi-automatic tracking and extraction methods, and automatic pattern classification and recognition methods; among these methods, manual methods and semi-automatic acquisition methods require a lot of manual operations and low efficiency; us...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to propose a method based on sequence nonlinear filtering for the shortcomings of the existing method for extracting water body thematic information using high-resolution remote sensing images, which are seriously interfered by various detailed information, low extraction efficiency, and poor effect. The method for extracting thematic information of water bodies from remote sensing images. The present invention retains the advantages of using remote sensing images to extract thematic information of water bodies, such as high potentiality and high repeatability, and is more suitable for extracting water body information from high-resolution multi-band remote sensing images, and its efficiency is higher.

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