Method for extracting offshore culture raft extraction index based on hyperspectral remote sensing image

A technology of hyperspectral remote sensing and extraction method, which is applied in the field of classification and extraction of remote sensing images. It can solve problems such as difficult to distinguish breeding rafts from background water bodies, differences in visible light red and yellow light bands, and a small number of multispectral data bands. It achieves accurate extraction, Simplify the process and difficulty, the effect of simplifying the difficulty and process

Active Publication Date: 2021-10-22
NINGBO UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, the spectral curves of offshore aquaculture floating rafts are very close to those of the background water body, and there are only obvious differences in the red and yellow bands of visible light.
At present, the number of multispectral data bands commonly used in research is very small, and it is difficult to distinguish breeding rafts from background water by relying on broadband information

Method used

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  • Method for extracting offshore culture raft extraction index based on hyperspectral remote sensing image
  • Method for extracting offshore culture raft extraction index based on hyperspectral remote sensing image
  • Method for extracting offshore culture raft extraction index based on hyperspectral remote sensing image

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Embodiment 1

[0034] Embodiment 1 of the present application provides a method for extracting the extraction index of offshore aquaculture rafts based on hyperspectral remote sensing images, including the following steps:

[0035] Step 1. Preprocessing the hyperspectral data, including orthorectification, radiometric calibration, atmospheric correction and image cropping;

[0036] Step 2. Analyze the spectral characteristics of ground objects, construct the extraction index of offshore aquaculture rafts of hyperspectral remote sensing images, and distinguish the aquaculture rafts, background water bodies, vegetation and other ground objects according to the threshold value of the extraction index of offshore aquaculture rafts in hyperspectral remote sensing images;

[0037] Step 2.1, analyze the mean spectral curves of aquaculture rafts, background water, vegetation, and other features in hyperspectral remote sensing images to obtain hyperspectral information of hyperspectral remote sensing ...

Embodiment 2

[0050] With the launch of hyperspectral satellites in my country, hyperspectral satellites such as Ziyuan No. 1 02D can collect spectral and image information of ground features at the same time, realizing the "integration of map and spectrum" and greatly improving the potential of data application; the second embodiment of this application is being implemented On the basis of Example 1, aiming at the problem of "different objects with the same spectrum" existing in the current extraction of offshore aquaculture rafts using multispectral data, an extraction index based on hyperspectral data for offshore aquaculture rafts is proposed to achieve simple and rapid extraction of offshore aquaculture rafts. Provides an extraction index based on hyperspectral data for offshore aquaculture rafts, using the 02D hyperspectral data of Ziyuan No. figure 1 Shown:

[0051] Step 1. Preprocessing the hyperspectral data of Resource No. 1 02D, the preprocessing mainly includes radiometric calibr...

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Abstract

The invention relates to a method for extracting an offshore culture raft extraction index based on a hyperspectral remote sensing image. The method comprises the following steps: carrying out the preprocessing of hyperspectral data, and the preprocessing comprises the orthorectification, radiometric calibration, atmospheric correction and image cutting; analyzing spectral features of ground features, constructing an offshore culture raft extraction index of the hyperspectral remote sensing image, and distinguishing culture rafts, background water, vegetation and other ground features according to a threshold value of the offshore culture raft extraction index of the hyperspectral remote sensing image; and calculating the region information of the culture raft extraction result, and filtering misclassification pixels with the region smaller than a set value. The invention has the beneficial effects that the process and difficulty of extracting the existing culture raft are simplified, the spectral information of the culture raft on the hyperspectral image is analyzed, and the hyperspectral data-based offshore aquaculture raft extraction index is constructed by increasing the spectral gap between the culture raft and other ground objects. The difference between the culture raft and other ground features is increased, and the culture raft is extracted by using threshold segmentation according to a culture raft index result.

Description

technical field [0001] The invention belongs to the technical field of classification and extraction of remote sensing images, and in particular relates to an extraction index of offshore aquaculture rafts based on hyperspectral remote sensing images. Background technique [0002] According to the statistics of global aquaculture production in 2016, China's aquaculture production accounts for more than half of the world's total production, and it is the largest aquaculture country in the world, and raft farming is one of the most important methods in mariculture. However, in recent years, in pursuit of economic interests, the rapid expansion of the coastal aquaculture industry has caused enormous pressure on the coastal environment. The excessive supply of nutrients and antibiotics in the aquaculture process has led to environmental problems such as eutrophication, water pollution, and red tides. Therefore, remote sensing monitoring of coastal aquaculture fisheries, systemat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/62G06T7/136
CPCG06T7/62G06T7/136G06T2207/10032
Inventor 孙伟伟侯婷婷杨刚孟祥超
Owner NINGBO UNIV
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