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Canyon-type high-sand-content meandering river remote sensing image extraction method

A technology of remote sensing images and extraction methods, which is applied in the field of remote sensing information, and can solve the problems of less applications, difficult extraction points, and high sediment content in canyon-type curved rivers with high sediment content

Inactive Publication Date: 2021-01-26
TIANJIN UNIV
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Problems solved by technology

However, there are few applications for canyon-type curved rivers with high sediment content. The main reasons are concentrated in the extraction difficulties of small-area water bodies, high sediment content, rivers covered by mountain shadows, and exposed bedrock downstream of reservoirs.

Method used

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  • Canyon-type high-sand-content meandering river remote sensing image extraction method
  • Canyon-type high-sand-content meandering river remote sensing image extraction method
  • Canyon-type high-sand-content meandering river remote sensing image extraction method

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Embodiment

[0044] Rivers in the area covered by the Loess Plateau in the northwestern part of my country and the upper and middle reaches of the Yellow River Basin, such as the Jing River, Wei River, Beiluo River, the main stream of the North Yellow River and its tributaries on the left and right banks, etc., have meandering characteristics and most of them cut deep into valleys, forming canyons Because of the distribution of loess on both sides of the river, the loess soil layer is deep, porous, permeable and air-permeable, and the water and soil loss is serious. The river bank is also continuously eroded during the process of cutting down the river channel, and surface flow processes such as rainfall make sediment enter the river, especially Especially in the flood season, the water body in the river has extremely high sediment content. This kind of high-sand content water body tends to make the spectral values ​​similar to those of the exposed mountains on both sides of the river during ...

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Abstract

The invention discloses a canyon type high-sand-content meandering river remote sensing image extraction method, which comprises the following steps: separating a water body from a mountain shadow, anexposed mountain and a bedrock edge beach by utilizing spectral characteristics of multiple wave bands and utilizing difference operation among the wave bands and a corresponding calculation result,determining a corresponding threshold value by utilizing the calculation result, separating the water body from other ground objects, and finally, constructing a water body extraction model suitable for the canyon-type high-sand-content serpentine river. Compared with other water body extraction models, the method overcomes the influence of shadows close to the riverway and reservoir downstream bedrock on water body extraction, and the extraction precision of the canyon type high-sand-content meandering river is improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing information, and in particular relates to a method for extracting remote sensing images of canyon-type meandering rivers with high sand content. Background technique [0002] Monitoring of geographic information from the perspective of satellite remote sensing information has been carried out in various industries. Extracting corresponding water body information from satellite remote sensing images is of great significance to the real-time dynamic monitoring of water resources and water environment. At present, the commonly used methods in water extraction are: Normalized Normalized Interpolation Water Index (NDWI), Modified Normalized Interpolation Water Index (MNDWI), interpolation method, threshold method, and multi-band spectral relationship method. The NDWI proposed by MeFeeters uses the green and near-infrared bands in remote sensing images to highlight water body information and sup...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32
CPCG06V20/13G06V20/46G06V10/25
Inventor 李彬徐海珏白玉川
Owner TIANJIN UNIV
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