Coral reef habitat survey video analysis method

Abstract

The invention discloses a coral reef habitat survey video analysis method, a storage medium and a terminal, and belongs to the field of coral reef habitat survey, and the coral reef habitat survey video analysis method comprises the steps: 1, carrying out the video collection of a coral reef habitat; 2, carrying out frame-by-frame image semantic segmentation on the collected coral reef habitat video, and calculating the coverage of different types of coral reefs frame by frame; 3, obtaining a weighting coefficient of a corresponding frame of the video; and 4, estimating the total coverage of the coral reef habitat and the coverage of each coral reef by using the coverage of different coral reefs and the weighting coefficient of the corresponding frame of the video. According to the method, coral reef identification can be carried out by using an image processing technology, a large amount of workload of underwater manual identification and recording is saved, the automation degree is greatly improved, the coral coverage calculation accuracy is high, and the reliability is good.

Description

technical field [0001] The invention relates to the field of coral reef habitat investigation, in particular to a video analysis method, storage medium and terminal for coral reef habitat investigation. Background technique [0002] Coral reefs are biological reefs, and coral reef ecosystems are considered to be the soul and protector of islands and reefs. The coral reef ecosystem is rich in species and extremely productive, and is known as the "tropical rainforest" of the ocean. Under the multiple pressures of global climate change and human activities, the coral reef ecosystem is seriously degraded, and its monitoring and assessment are particularly important. The habitat characteristics of coral reefs are important factors that determine the structure and distribution of fish and other biological communities. Habitat assessment is the basic content of coral reef ecosystem research. [0003] Underwater video is an important means of obtaining information on habitats and ...

AI Technical Summary

Problems solved by technology

[0004] In daily practice, the inventor found that the existing technical solutions have the following problems: due to the uneven swimming speed of divers or underwater robots, the collected videos often have uneven number of picture frames collected in different sampling intervals, resulting in the divers swimming speed Unevenness has a certain impact on the estimation of coral reef coverage, and the calculation error of coral reef coverage using video is relatively large

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