Cloud shadow recognition method supported by priori data

A recognition method and a priori data technology, applied in scene recognition, character and pattern recognition, instruments, etc., can solve problems such as misjudgment of dark surfaces and difficulties in cloud shadow recognition, and achieve elimination of influence, low data requirements, and high detection efficiency Effect

Pending Publication Date: 2019-08-23
青岛星科瑞升信息科技有限公司
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Problems solved by technology

At the same time, the problem of mixed pixels in the cloud shadow area is more serious, which makes cloud shadow identification more difficult. According to the spectral information of cloud shadow and underlying surface objects, it cannot effectively distinguish cloud shadow and dark surface area, and the fixed threshold method is easy to identify cloud shadow. Misjudgment of the dark surface

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  • Cloud shadow recognition method supported by priori data
  • Cloud shadow recognition method supported by priori data
  • Cloud shadow recognition method supported by priori data

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Embodiment Construction

[0039] In order to make the purpose and technical solution of the present invention clearer, the present invention will be described in detail below in conjunction with specific embodiments. like Figure 1As shown, the cloud shadow recognition method based on prior data support includes the following steps:

[0040] Step 1: Construct the surface reflectance data set

[0041] The present invention builds a real surface reflectance data set based on the MOD09 A1 product synthesized in 8 days. MOD09 A1 is to take the nearest 8 days of data obtained by the sensor, and replace the cloud and cloud shadow pixels, high-angle pixels, and high-aerosol pixels with good quality pixels as much as possible to synthesize a scene image, which truly reflects the ground surface Changes in reflectivity. The spatial resolution of MOD09 A1 surface reflectance is 500m, and there are 7 bands. The specific construction method is as follows:

[0042] 1) Select all 8-day synthetic MOD09 A1 surface...

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Abstract

The invention relates to a cloud shadow identification method supported by priori data, in particular to a cloud shadow automatic detection method based on a real surface, and the specific process isshown as figure 1. Firstly, utilizing MOD09 A1 data to construct a real surface reflectance data set of a visible light near infrared band one scene every month; then, based on a 6S radiation transmission model; assuming that the ground pixels are uniform and have a Lambert surface; simulating the surface reflectance under the conditions of different atmospheric modes, aerosol types, observation geometries and aerosol optical thicknesses under the condition of a near infrared band of visible light under a sunny condition; according to the change condition of the apparent reflectance, constructing a lookup table of the apparent reflectance change based on the parameters, and nonlinearly fitting a minimum value of the apparent reflectance change by using a least square method according to lookup table data to obtain a cloud shadow detection algorithm of the to-be-detected sensor.

Description

technical field [0001] The invention relates to a cloud shadow recognition method supported by prior data, which is an automatic cloud shadow detection method based on the real surface and is applicable to various sensors. Background technique [0002] About 55% of the continent’s surface is covered by clouds. Due to the influence of factors such as weather, sensor observation angle, and solar zenith angle, most remote sensing images will have clouds and cloud shadows when they are acquired, making the surface information on remote sensing images It becomes blurred or even lost, and it is difficult to accurately obtain the spectral information of ground objects in the cloud shadow area, which brings difficulties to target recognition, classification, and information extraction, and seriously affects the interpretation effect and further application of remote sensing images. Therefore, using fast and effective The automatic identification of cloud shadows is the first problem...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/194G06V20/13
Inventor 于会泳米雪婷王春香
Owner 青岛星科瑞升信息科技有限公司
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