Green tide information extraction method

Abstract

The invention belongs to the technical field of remote sensing image processing, and relates to a green tide information extraction method. The method comprises: obtaining a sea area satellite remote sensing image with a conventional method, screening images of green tide regions, and performing preprocessing operations of geometric correction and image mosaicking; calculating and determining a green tide range by adopting a normalized difference vegetation index; cutting a region of interest in any shape to generate an irregular image file containing the green tide regions; extracting green tide information by adopting a split Bregman fast projection algorithm of a variational level set two-phase image segmentation based Chen-Wees model; and finally, quantitatively calculating the green tide regions by adopting a quantitative formula. The image segmentation based variational model accurately extracts and quantifies the green tide information on the satellite remote sensing image, so that a conventional manual threshold method can be completely replaced and operational application can be realized; and method is scientific and reasonable in principle, low in human factor quantity, high in calculation speed, accurate and stable in result, high in operability, friendly in application environment, high in practicality and easy to popularize.

Description

Technical field: [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a method for extracting green tide information, which uses a variational model of image segmentation to extract green tide information on satellite remote sensing images and quantizes the extraction result. Background technique: [0002] Enteromorpha is a genus of Ulvaceae of Chlorophyta Chlorophyceae, also called moss and moss. It grows in the sea. The algae are bright green and the plants are very slender. Like land plants, they contain chlorophyll a and b. To the naked eye it appears as a green filament with many branches. Enteromorpha itself is non-toxic and can even be eaten. Residents in Jiangsu and Zhejiang areas of China will breed Enteromorpha on a small scale and eat Enteromorpha products on a small scale near the coast; It is called Enteromorpha green tide, or green tide for short. The hazards of the green tide mainly include the following poin...

AI Technical Summary

Problems solved by technology

The hazards of the green tide mainly include the following points: First, Enteromorpha floating on the sea consumes a large amount of oxygen, causing organisms covered by Enteromorpha under the sea surface to affect growth and development or even die due to lack of oxygen; second, the deposition of substances secreted by Enteromorpha Going to the bottom of the sea affects the growth and development of seabed organisms; third, Enteromorpha covers the fishery breeding base near the shore, causing the production reduction or even death of the cultured marine animals and plants, which brings huge property and spiritual losses to the farmers; Seaside tourism, vacations and sea sailing competitions have caused serious impacts, destroying the tourism image of coastal cities and reducing government revenue; at present, the main monitoring methods for Enteromorpha green tide include satellite remote sensing, aircraft, ships and land-shore patrols. Satellite remote sensing has With the advantages of wide monitoring range, high temporal and spatial resolution and various monitoring methods, it has become the main method of monitoring green tide of Enteromorpha enteromorpha. The green tide monitoring results obtained by satellite remote sensing are used for rapid analysis, identification and interpretation, and the interpretation results are sent to the Relevant departments report to provide decision makers with cutting-edge monitoring and analysis results so that they can formulate countermeasures in a timely manner to minimize the impact of Enteromorpha green tide disasters on society, which has important social significance; green tide information extraction in the interpretation process Directly affect the generation of follow-up statistical analysis and interpretation reports and the forecasting and early warning work

The green tide information extraction in the prior art mainly adopts the method of visual interpretation and manual threshold setting. Although this method is simple to operate, it relies on expert knowledge, and human factors cause the problem of poor accuracy and instability of the results, and When the brightness of the satellite remote sensing image has a large difference, it is necessary to set multiple thresholds to extract separately. Each pixel participates in the calculation of the band, and the calculation efficiency is low. When the green tide breaks out on a large scale, it cannot meet the requirements.

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