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River light pollution index extraction method based on noctilucent remote sensing image

A technology of remote sensing image and extraction method, which is applied in image data processing, image enhancement, image analysis, etc., and can solve problems such as pollution

Active Publication Date: 2021-05-25
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned technical problems, the present invention proposes a method for extracting river light pollution index based on luminous remote sensing images. The Luojia remote sensing images are registered and spliced ​​to form a complete image; then the average light brightness in each river buffer area is counted using the spatial statistics method; finally, the average value is associated with the river layer properties, The river light pollution index map is formed, which solves the evaluation problem of large-scale river light pollution. On the one hand, it can quickly extract the river light pollution index. On the other hand, it can ensure the consistency of data between different regions

Method used

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  • River light pollution index extraction method based on noctilucent remote sensing image
  • River light pollution index extraction method based on noctilucent remote sensing image
  • River light pollution index extraction method based on noctilucent remote sensing image

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Effect test

Embodiment 1

[0036] Such as figure 1 As shown, a method for extracting river light pollution index based on nighttime light remote sensing images, step 100 is executed to obtain river data information. The river data information includes the large-scale river data of the linear layer and the night light remote sensing image data of the river.

[0037] Execute step 110 to process the river data information, including the following sub-steps: Step 11: Divide the same river in different administrative regions of the process into multiple river sections based on the principle of dividing administrative regions; Step 12: Use GIS software Make buffers for each of the rivers, resulting in an areal flow layer.

[0038] Step 120 is executed to process night light remote sensing image data of the river. The step 2 includes the following sub-steps: Step 21: uniformly modify some specific feature values ​​in the luminous remote sensing images to 0, such as "-9999", "-999" and so on; Step 22: stitch ...

Embodiment 2

[0042] This paper proposes a river light pollution index extraction method based on nighttime light remote sensing images. Firstly, the river is segmented and buffered, and the river line layer is converted into a surface layer; at the same time, the Luojia remote sensing image is registered and spliced. processing to form a complete image; then use the spatial statistics method to count the average light brightness in each river buffer area; finally associate the average value with the river layer properties to form a river light pollution index map. Technical route such as figure 2 shown.

[0043] (1) River data processing

[0044] At present, the large-scale river data is mainly a linear layer, and each river is an independent vector line. However, due to the fact that many rivers flow through a wide range, the characteristics of different river sections are different, such as the economic level of the upper reaches, middle reaches, and lower reaches of the Yangtze River...

Embodiment 3

[0053] In this example, the national 1:250,000 river layer and the 2019 VRIIS luminous remote sensing images were selected for analysis.

[0054] The effect of the river layer after segmentation and buffering is as follows image 3 As shown in , the river in the figure is represented by a curve. If a river crosses more than two administrative regions, the river will be segmented according to the boundaries of the administrative regions to form river segments.

[0055] After making the river buffer zone, the partial enlarged effect picture is as follows Figure 4 As shown, according to the segmented river segment, the buffer zone of each river segment is made according to 500 meters on each side to form a buffer layer.

[0056] The effect picture after mosaic of luminous remote sensing is as follows Figure 5 As shown in , a complete tif image is formed after splicing the luminous remote sensing data, and the value of each pixel in the image is the brightness value of the lig...

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Abstract

The invention provides a river light pollution index extraction method based on a noctilucent remote sensing image, and the method comprises: obtaining river data information, and also comprises the following steps: processing the river data information, processing the noctilucent remote sensing image data of the river, and extracting the river light pollution index. The invention provides a river light pollution index extraction method based on a noctilucent remote sensing image, which comprises: firstly, carrying out segmentation processing and buffer area analysis on a river, and converting a river line map layer into a surface map layer; meanwhile, performing registration and splicing processing on the Luoga remote sensing image to form a complete image; then, by utilizing a spatial statistical method, counting the average value of the light brightness in each river buffer area surface; and finally, associating the average value into the river map layer attributes to form a river light pollution index map, thereby solving the evaluation problem of large-range river light pollution, on one hand, quickly extracting the river light pollution index, and on the other hand, ensuring the consistency of data among different regions.

Description

technical field [0001] The invention relates to the technical field of river pollution detection, in particular to a river light pollution index extraction method based on night light remote sensing images. Background technique [0002] Rivers are natural systems on which humans and other organisms depend for survival. During the process of human development, they have played a huge supporting role in the development of human society. At the same time, rivers are also natural systems that are most severely affected by human activities and climate change. The problem of large disturbance of rivers has been paid more and more attention. Therefore, it is of practical significance to evaluate the degree of river disturbance in many aspects. Current river disturbance research covers global, national, regional, city, single river and other scales, and the research methods are also very rich. The factors of concern can be divided into external disturbances (land use, infrastructur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06T3/40G06T5/50G06T7/33
CPCG06F17/18G06F2219/10G06T3/4038G06T5/50G06T2207/10032G06T2207/20221G06T2207/30181G06T7/33
Inventor 刘业森赵进勇张晶付意成杨振山刘金钊
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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