Marine ship fishery breeding monitoring method and system

Abstract

The invention relates to a marine ship fishery breeding monitoring method and system. The method comprises the steps: acquiring remote sensing data according to application requirements of breeding area sensitive resource monitoring; secondly, formulating a polarimetric SAR image feature decomposition and synthesis algorithm for breeding area information according to scattering characteristics and spectral characteristics of the acquired remote sensing data for a breeding area target, and achieving feature enhancement so as to generate a remote sensing image and auxiliary data; secondly, pre-segmenting the breeding area by adopting an image segmentation method according to the generated remote sensing image and auxiliary data for the breeding area information; and detecting the pre-segmented culture area, eliminating a misjudgment area, providing interpretation, plotting, supervised classification method models and an area calculation function, obtaining a culture monitoring result, achieving normalized monitoring of the culture area, and carrying out early warning on navigation impeding culture.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring of marine ships, in particular to a method and system for monitoring fishery cultivation of marine ships. Background technique [0002] In recent years, with the development of the coastal shipping economy and aquaculture industry, the contradiction between the increase in the number of transport ships and the expansion of aquaculture waters has become increasingly prominent, resulting in frequent incidents of ships entering the aquaculture area by mistake. Ships entering the aquaculture area will cause local damage to aquaculture and economic disputes on the one hand, and on the other hand, accidents such as fishing nets being entangled with propellers may occur, which will affect the safety of ship navigation. Therefore, it is of great significance to obtain information such as the specific location and scope of aquaculture waters in a timely manner, and to clear fishery aquacu...

AI Technical Summary

Problems solved by technology

[0004] At present, the classification methods of offshore aquaculture areas based on image segmentation of SAR images are classified and identified according to the presentation characteristics of fishery aquaculture areas on SAR images at a certain moment, and preprocessing is performed. However, the traditional preprocessing work is not for fisheries. There is no analysis of its scattering characteristics and spectral characteristics and targeted enhancement of its characteristics in the farming area, which cannot assist in the accurate identification of fish farming area information

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