Method for automatically extracting coral reef based on time sequence remote sensing image

A remote sensing image and time series technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of various noises in coral reef images, and achieve the effect of facilitating monitoring and management, eliminating noise and reducing workload.

Pending Publication Date: 2021-07-16
NANJING UNIV
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AI Technical Summary

Benefits of technology

This patented technology helps reduce manual labor required during imagery processing while still providing accurate results that help identify potential threatening or damaging areas within sea ice. It also allows for automated extraction of important parts like fish bones without requiring human interference. Overall, this innovation improves efficiency and reliability in managing and protecting marine ecosystems.

Problems solved by technology

This patents describes various technical solutions related to creation of effective remotely operated systems or cameras capable of capturing real-time visual observations from seawater aquariums located near salt domes containing corals. These technologies aim to improve upon existing ground science research tools like radioscopy and computer vision while addressing issues associated with current methods including geography bias estimation, automated detection of corrosion rates, identification of specific parts of interest through advanced processing techniques, and automatic screenings of remote sensor images.

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  • Method for automatically extracting coral reef based on time sequence remote sensing image
  • Method for automatically extracting coral reef based on time sequence remote sensing image
  • Method for automatically extracting coral reef based on time sequence remote sensing image

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Embodiment Construction

[0021] The present invention will be described in detail below according to the accompanying drawings, so as to make the technical route and operation steps of the present invention clearer.

[0022] Anda Reef is located in the east of the Zhenghe Reefs of the Nansha Islands. It is the largest island reef in the Zhenghe Reefs. The longitude and latitude of the center are 10°20' north latitude and 114°42' east longitude. Such as figure 2 As shown, Anda Reef is located 36 kilometers (20 nautical miles) east of Taiping Island, about 54 kilometers (29 nautical miles) northeast of Nanxun Reef, with an area of ​​about 30 square kilometers.

[0023] Considering the large area of ​​Anda Reef and the different water depths of the topography, Anda Reef was selected as the research area, representing most of the coral reefs in the Nansha Islands. Anda Reef is an unenclosed atoll with the tip facing northeast and the pincer-shaped part facing southwest. The northeast of Anda Reef is relat

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Abstract

The invention relates to a method for automatically extracting a coral reef based on a time sequence remote sensing image. The method comprises the following steps: 1, carrying out parallel preprocessing on the remote sensing image, namely carrying out atmospheric correction on the image; step 2, automatic screening of remote sensing images: automatic screening of the images is realized from four aspects of space overlapping, date uniqueness, cloud cover and image entropy; 3, time sequence construction: constructing a time sequence of the image MNDWI; and 4, automatically extracting the coral reef, namely constructing a characteristic curve of the coral reef time sequence, calculating a DTW value between the pixel-level time sequence and the characteristic curve, determining a DTW threshold value by using a dichotomy method, and extracting the coral reef. According to the invention, the problem that various noises exist in the coral reef image is solved, automatic screening of the remote sensing image is realized, a reliable method for automatically extracting the coral reef based on the time sequence remote sensing image is provided, and a process thought is provided for automatically extracting the coral reef range based on other satellite sensors.

Description

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Claims

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Application Information

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Owner NANJING UNIV
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