Water body remote sensing identification method based on U-net

A remote sensing recognition and water body technology, applied in scene recognition, neural learning methods, character and pattern recognition, etc., can solve problems such as missed and wrong mentions, and achieve the effects of good shadow removal, strong universality, and improved accuracy

Pending Publication Date: 2020-05-05
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0006] Therefore, for the areas affected by mountains, buildings, cloud shadows, cultivated land in the soaking period, and water extraction in areas with small lakes and ponds, the above methods have serious errors and omissions.

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  • Water body remote sensing identification method based on U-net
  • Water body remote sensing identification method based on U-net
  • Water body remote sensing identification method based on U-net

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Embodiment Construction

[0036] The present invention provides a U-net-based remote sensing recognition method for water bodies. In order to make the objectives, technical solutions and effects of the present invention clearer and clearer, the present invention will be described in further detail below. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0037] The invention provides a U-net-based remote sensing recognition method for water bodies, such as figure 1 As shown, it includes the following steps:

[0038] The first step, data collection and preprocessing: select the available images of the area to be studied, the clear image with cloud content less than 20% as the basic data, and preprocess the basic data, and select the sample area for the samples required for U-net training ;

[0039] The second step, the preliminary extraction of water bodies: analyze the original various bands, water i...

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Abstract

The invention discloses a water body remote sensing identification method based on U-net. The method comprises the following steps: A, carrying out data collection and preprocessing; b, carrying out preliminary extraction of a water body; c, processing a water body extraction result; d, making training and verification samples; e, training a U-net neural network model; and f, extracting water body. Two water body preliminary extraction algorithms are set through spectral analysis of different ground objects in each wave band of an image, all water bodies and part of other ground objects can beextracted, and a public truth value area, namely a preliminary water body result, is reserved. Classification post-processing, format conversion, modification, training and verification sample makingare carried out on an extraction result, a model is obtained through training of a U-net neural network model, and a water body is predicted. The method is suitable for regions with complex surface structures, is simple to operate and high in universality, can better eliminate interference of shadows, buildings and farmlands in the field steeping period, has a good extraction effect on small lakes and small ponds, and realizes accurate extraction of water bodies.

Description

Technical field [0001] The invention relates to a method for extracting water bodies using satellite remote sensing images, in particular to a method for using U-net to perform water body remote sensing recognition. Background technique [0002] About 70% of the earth's surface is covered by water. Water is not only a resource, but also an environmental factor. Water bodies mainly include rivers, lakes, ponds, reservoirs, channels, etc. With the continuous development of economy, the demand for the living environment of mankind is increasing. Due to the combined effect of people's production activities and climate change, the water environment has undergone tremendous changes. People are paying more and more attention to the monitoring, management and analysis of water resources. Satellite remote sensing technology plays an important role in many fields such as resource survey, environmental monitoring, disaster prevention and mitigation with many advantages such as macroscopic,...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06N3/045G06F18/241
Inventor 王春香王萍明艳芳
Owner SHANDONG UNIV OF SCI & TECH
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