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Coral reef whitening automatic recognition method and system

An automatic identification system and automatic identification technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of inability to achieve real-time monitoring, consuming a lot of manpower and material resources, and achieve the effect of real-time automatic monitoring of health status.

Pending Publication Date: 2021-06-11
HARBIN ENG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing coral reef bleaching monitoring methods mainly rely on artificial sampling or remote sensing monitoring, but it requires a lot of manpower and material resources, and real-time monitoring cannot be achieved

Method used

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  • Coral reef whitening automatic recognition method and system
  • Coral reef whitening automatic recognition method and system
  • Coral reef whitening automatic recognition method and system

Examples

Experimental program
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Embodiment

[0040] figure 1 It is a flowchart of the automatic identification method for coral reef bleaching in the embodiment of the present invention, such as figure 1 As shown, an automatic identification method for coral reef bleaching, including:

[0041] Step 101: Obtain an image to be recognized.

[0042] Step 102: Input the image to be recognized into the trained coral reef recognition model for recognition, and determine whether the coral reef in the image to be recognized is a bleached coral reef; the trained coral reef recognition model is obtained through Faster R-CNN algorithm training.

[0043] in,

[0044] The trained coral reef identification model, the specific training methods include:

[0045] Step 1. obtain the coral reef image to be trained; the coral reef image to be trained includes the coral reef image of healthy state and the coral reef image of bleaching state;

[0046] Step 2. Preprocessing the coral reef image to be trained, obtains the preprocessed coral ...

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PUM

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Abstract

The invention discloses a coral reef whitening automatic recognition method and system. The method comprises the following steps: acquiring a to-be-recognized image; inputting the to-be-recognized image into a trained coral reef recognition model for recognition, and determining whether the coral reef in the to-be-recognized image is a whitened coral reef; wherein the trained coral reef recognition model is obtained by training through a Faster R-CNN algorithm. By adopting the method and the system, the health state of the coral reef in the ocean can be automatically monitored in real time.

Description

technical field [0001] The invention relates to the technical field of coral reef bleaching identification, in particular to an automatic identification method and system for coral reef bleaching. Background technique [0002] Coral reefs are an important part of marine ecological environment protection. How to realize automatic monitoring of coral reef bleaching is of great significance to the protection of coral reefs. Due to the unique body structure of coral reefs, healthy coral reefs can help fragile coastlines resist wave erosion and reduce the strong erosion of most waves on the coast. At the same time, during the process of building reefs, corals absorb a large amount of carbon dioxide through the zooxanthellae in their bodies, which can reduce the greenhouse effect of the earth. In terms of economic benefits: Coral reefs can provide suitable homes for a large number of marine organisms, provide food sources for a variety of valuable fish, increase the density of fi...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V10/25G06N3/047G06N3/045G06F18/2411G06F18/214
Inventor 秦志亮彭若松马本俊刘雪芹白博朱兆林
Owner HARBIN ENG UNIV
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