Method for full automatic extraction of water remote sensing information in coastal zone

Abstract

The invention discloses a method for full automatic extraction of water remote sensing information in a coastal zone and belongs to the field of methods for full automatic extraction of remote sensing information. The method comprises the steps of cutting a remote sensing image, roughly extracting water information and finely extracting water information, wherein scale conversion is performed twice in the process; the scale conversion performed at the first time is the scale conversion from bottom to up for converting an image element to an object; and the scale conversion performed at the second time is the scale conversion from up to bottom for converting the whole area to a local part. Compared with the prior art, the invention realizes a method combining geological knowledge with datamining in a scale conversion frame. The method is characterized by zero sample and zero parameter, and can be automatically operated completely. The method provided by the invention is suitable for various environments in a coastal zone of each sea area, has better stability, has higher precision of extraction results, has better extracting completeness and continuousness for detailed informationthan the traditional method, and can be directly applied to maintaining and updating the remote sensing thematic information of all-level national foundation geographic information databases.

Description

technical field [0001] The invention relates to a water body information extraction method of remote sensing image data, in particular to a multi-level automatic extraction method of coastal water remote sensing information. Background technique [0002] Whether as an independent environmental factor or as a resource, water bodies have received special attention. It is important for remote sensing monitoring of environment and resources to carry out spatial identification, positioning and quantitative calculation of area and volume of various water bodies, or to simulate dynamic changes of water bodies. important content of the analysis. With the improvement of remote sensing technology and the deepening of remote sensing applications, water body extraction methods have been continuously improved and have been widely used in applications. At present, the commonly used water body information extraction methods mainly include supervised classification and threshold segmentati...

AI Technical Summary

Problems solved by technology

Water body remote sensing information extraction methods based on supervised classification and threshold segmentation are relatively classic and have been widely used in scientific research and production practice, but there are still some common problems

First, both methods require manual intervention, and it is difficult to realize the automatic extraction of water body remote sensing information; second, both methods ignore a core issue in geography research, that is, the problem of scale. The results are often very different. These two classic methods are analyzed on a larger scale, that is, the entire remote sensing image is taken as a whole, and a unified water body information extraction model is established. In this case, The statistical data of remote sensing images reflect the differences in the spectral characteristics of different types of waters in the study area, but the detailed water body information is covered up, and the extracted results inevitably tend to be extensive.

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