Extracting method of raft-type mari-culture area based on high-resolution remote sensing image

Abstract

The invention relates to an extracting method of a raft-type mari-culture area based on a high-resolution remote sensing image. The method is characterized by comprising the following steps of 1), a water area in a remote sensing image is extracted by adopting normalized difference water index (NDWI); 2), image segmentation is conducted on the water area, and the normalized differential vegetationindex (NDVI) of each plaque in the water area is calculated; 3), NDVI marked features of each plaque in the water area are calculated; 4), the distinguishing threshold value of a culturing area and an adjacent seawater area is set, and the mari-culture area is extracted according to the NDVI marked features obtained by calculation in step 3). According to the method, the characteristic that the normalized differential vegetation index (NDVI) is high due to the high chlorophyll content of raft-type cultured plants is utilized to propose an NDVI marked feature based on the combination of a fusion visual attention model and plaque segmentation, high-precision extraction of the raft-type cultured area is achieved, even though the background of the seawater is complicated and the culturing area is presented as a curved belt shape, and extraction can be achieved by conducting simple threshold segmentation on the NDVI marked features.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps separate sea water and lands efficiently with an algorithm called Neumann' s thresholds. By measuring specific characteristics on different parts of the surface being planted it becomes possible to identify where cropland or other vegetations may exist within that part of space. Additionally, this system also includes methods like image processing techniques used during harvesting processes to help distinguish between these plants and their surrounding environment. Overall, this innovative process makes terraforming more efficient and effective crop production while maintaining good quality control over various aspects such as soil conditions, weather patterns, temperature variations, light levels, etc., which affect its growth potential.

Problems solved by technology

Technological Problem: Current methods for identifying and extracting seafood zones have limitations when applied to large areas or multiple periods across different types of remotely sensory data. Additionally, existing techniques require extensive sampling and training time, making them unsuitable for use during realistically challenging situations like wildlife monitoring.

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