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Mariculture area classification method fusing multi-source high-resolution satellite remote sensing images

A satellite remote sensing image, high-resolution technology, applied in the field of image processing, can solve the problems of lack of animal-based aquaculture area research, lack of extraction methods, restriction of dynamic supervision and evaluation of marine aquaculture areas, etc., so as to improve the extraction accuracy and reduce workload. , the effect of automatic interpretation

Active Publication Date: 2021-11-19
北京航天创智科技有限公司
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Problems solved by technology

[0005] From the point of view of the extraction objects, the current offshore mariculture information extraction focuses more on marine plant breeding areas, while there are few studies on the extraction of marine animal breeding areas. However, marine animal breeding areas are also major sources of pollution in coastal waters. Lack of a suitable extraction method
[0006] To sum up, the current extraction methods for mariculture areas are difficult to take into account both high temporal resolution and high spatial resolution, and are limited to using satellite images with low temporal resolution and medium spatial resolution for large-scale marine aquaculture areas. Extraction analysis, or use a single source of high-resolution images to conduct accurate extraction research on a local scale, and the research on marine aquaculture areas is limited to plant-type aquaculture areas, and the lack of research on animal-type aquaculture areas restricts the dynamic supervision of marine aquaculture areas Evaluate

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  • Mariculture area classification method fusing multi-source high-resolution satellite remote sensing images
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  • Mariculture area classification method fusing multi-source high-resolution satellite remote sensing images

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[0042]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0043] A classification method for marine aquaculture areas by fusing multi-source high-resolution satellite remote sensing images, combining figure 1 ,Proceed as follows:

[0044] Step 1: Obtain a variety of satellite remote sensing images covering a range of 30km from my country's coastline within a set period of time.

[0045] Obtain GF-1 / GF-2 / GF-6 / GF-1 B, C, D 0.8-2m high-resolution remote sensing images covering 30k...

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Abstract

The invention relates to a mariculture area classification method fusing multi-source high-resolution satellite remote sensing images. The mariculture area classification method comprises the following steps: acquiring various satellite remote sensing images covering a 30km range of a coastline in China within a set time period; performing preprocessing and data normalization on the satellite remote sensing images to obtain a standard meter-scale high-resolution image; dividing the standard image into a training set, a test set and a detection set; selecting samples from the training set to train the U2-Net and HRNet-OCR deep learning convolutional neural network models respectively, and selecting samples from the test set to test; and detecting the images in the detection set by adopting two packaged models, outputting detection results, and fusing the detection results to obtain plant type and animal type mariculture area distribution results. According to the method, the advantages of the two models are combined, the culture area extraction accuracy is effectively improved, the workload of manual screening is reduced, the working efficiency is improved, and rapid, reliable and automatic identification and classification of different types of offshore mariculture areas in a large-scale range are realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for classifying marine aquaculture areas by fusing multi-source high-resolution satellite remote sensing images. Background technique [0002] In recent years, with the continuous increase of market demand, the support of national policies and the continuous improvement of aquaculture technology, my country's aquaculture industry has developed rapidly, and the marine aquaculture industry has gradually become an important part of my country's agriculture and "blue economy". , The disorderly expansion has also brought a series of negative impacts on the ecological environment and maritime traffic. Therefore, it is of great practical significance to quickly and accurately obtain the distribution and location range changes of marine aquaculture areas to prevent and control aquaculture pollution, ensure navigation safety, and optimize aquaculture space layout. At pre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/24G06F18/25
Inventor 徐崇斌赵晓庆孙晓敏吴俣陈前胡银博
Owner 北京航天创智科技有限公司
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