Cooperated detecting method for ice of The Yellow River based on multispectral image and SAR image

A multi-spectral image, collaborative detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as poor accuracy

Active Publication Date: 2016-08-31
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] In order to overcome the deficiency of poor accuracy of the existing Yellow River icicle detection methods, the present invention provides a collaborative detection method for Yellow River icicles based on multispectral images and SAR images

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  • Cooperated detecting method for ice of The Yellow River based on multispectral image and SAR image
  • Cooperated detecting method for ice of The Yellow River based on multispectral image and SAR image
  • Cooperated detecting method for ice of The Yellow River based on multispectral image and SAR image

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Embodiment Construction

[0046] The specific steps of the Yellow River icicle collaborative detection method based on multispectral images and SAR images in the present invention are as follows:

[0047] 1. Obtain the results of ice detection in remote sensing images.

[0048] 4) Image preprocessing.

[0049] iv) Firstly, radiometric correction is performed on the remote sensing image.

[0050] can be expressed as,

[0051] E = E 0 c o s θ d 2

[0052] where E is the normalized solar irradiance, E 0 is the solar irradiance at the average distance between the sun and the earth, generally a constant, θ is the solar zenith angle, d is the distance between the sun and the earth, and is a variable related to the season.

[0053] Due to the Bow-tie effect in the image processed by radiation correction,...

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Abstract

The invention discloses a cooperated detecting method for ice of The Yellow River based on a multispectral image and an SAR image, wherein the cooperated detecting method is used for settling a technical problem of low precision in existing detecting methods for the ice of The Yellow River. The cooperated detecting method is characterized in that a remote sensing image is used; through performing preprocessing such as geometric correction, Bow-tie correction, cloud elimination and image cutting on a Yellow River remote sensing image, performing rough dividing on a river area, and integrally utilizing an NDSI detecting method and a clustering method, a divided area set m is obtained; then the area m is used as an SAR image detecting method input, a divided area set n is obtained through super-pixel dividing and calculating a salient map, and finally a solution for optimizing a Yellow River ice detecting model is searched through alternative iteration, thereby obtaining an optimal ice detecting area. Quick and effective testing for the ice of The Yellow River and high precision are realized.

Description

technical field [0001] The invention relates to a method for detecting Yellow River ice, in particular to a method for cooperatively detecting Yellow River ice based on multispectral images and SAR images. Background technique [0002] The document "Research and Design of the Yellow River Ice Forecasting System, "People's Yellow River", 2014, No. 1, P27-P29" proposes to use the ice layer thickness sensor as an information collection device to collect the resistance value of air, ice and water to realize the monitoring of the Yellow River. Real-time monitoring of river ice. This method analyzes and calculates the collected data by selecting a reasonable ice thickness, and obtains data information such as ice thickness, water level, and water temperature, and uploads the information to the monitoring center through the GPRS network communication module. Because this method uses the ice layer thickness sensor as the acquisition device, there are certain limitations, and it can...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06T5/006G06T2207/10044G06T2207/30181G06V20/13G06V10/247G06V10/20G06F18/23
Inventor 张艳宁李映崔凡余康聂金苗张磊严杭琦刘学工佘红伟魏巍季万才
Owner NORTHWESTERN POLYTECHNICAL UNIV
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