CN110807724A - Population flow monitoring system and method based on satellite remote sensing - Google Patents
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Abstract
The invention discloses a population flow monitoring system and method based on satellite remote sensing, wherein the system comprises: the remote sensing satellite is used for acquiring a ground heat image and a ground light image; the analysis host is in communication connection with the remote sensing satellite and is used for acquiring the ground heat image and the ground light image and generating population flow information; the distributed storage module is in communication connection with the analysis host and is used for performing distributed storage on the population mobility information; and the identity authentication module is in communication connection with the analysis host and is used for authenticating the identity of the user who sends the request for reading the population mobility information. The invention can conveniently and quickly monitor the human mouth flow process and has high safety.
Description
Technical Field
The invention relates to the field of remote sensing satellite application, in particular to a population flow monitoring system and method based on satellite remote sensing.
Background
Population mobility is a phenomenon inevitably brought about in a urbanization process, and a large number of populations gradually flow together to form a city with a larger scale, stronger strength and better prospect, so that the population mobility has a great influence on city development and policy planning.
In the prior art, the monitoring of the population movement is mainly performed by human subjects, and the population movement is described by using the movement of people, so that the monitoring result is really accurate, but the monitoring process is very complex and requires a great amount of data and time.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a population mobility monitoring system and method based on satellite remote sensing, which can conveniently and quickly monitor the population mobility process and have high safety.
In order to achieve the purpose, the invention adopts the specific scheme that: a population flow monitoring system based on satellite remote sensing, comprising: the remote sensing satellite is used for acquiring a ground heat image and a ground light image; the analysis host is in communication connection with the remote sensing satellite and is used for acquiring the ground heat image and the ground light image and generating population flow information; the distributed storage module is in communication connection with the analysis host and is used for performing distributed storage on the population mobility information; and the identity authentication module is in communication connection with the analysis host and is used for authenticating the identity of the user who sends the request for reading the population mobility information.
Preferably, the distributed storage module comprises a plurality of storage hosts communicatively connected to the analysis host, and all of the storage hosts are distributed according to a mesh topology.
Preferably, the identity authentication module comprises a mobile terminal, and the mobile terminal is connected with a fingerprint identification module, an iris identification module and a camera.
A population flow monitoring method based on satellite remote sensing comprises the following steps:
s1, the remote sensing satellite acquires the ground heat image and the ground light image;
s2, the analysis host acquires the ground heat image and the ground light image and generates the population mobility information;
s3, the analysis host stores the population movement information into the distributed storage module;
and S4, the user verifies the identity through the identity verification module, and if the identity passes the verification, the population flow information is read through the analysis host.
Preferably, the specific method of step S2 includes:
s2.1, preprocessing the ground heat image and the ground light image by the analysis host to obtain a ground heat preprocessing image and a ground light preprocessing image;
s2.2, the analysis host machine performs block segmentation on the ground heat preprocessing image to obtain a plurality of first blocks, and performs block segmentation on the ground light preprocessing image to obtain a plurality of second blocks;
s2.3, the analysis host performs fitting analysis on the first block and the second block, and processes the first block and the second block into a third block;
s2.4, numbering all the third blocks by the analysis host;
s2.5, quantifying the ground heat information and the ground light information in each third block by the analysis host;
s2.6, the analysis host selects the ground heat information at any two moments on the same third block to calculate heat change measurement, and selects the ground light information at any two moments on the same third block to calculate light change measurement;
and S2.7, the analysis host generates the population mobility information according to the heat change measurement and the light change measurement.
Preferably, in step S2.2, the method for obtaining the first block and the second block by the analysis host includes:
s2.21, the analysis host machine utilizes an edge detection algorithm to segment the wave band corresponding to the normalized vegetation index in the ground heat image or the ground light image to obtain a primary segmentation result;
and S2.22, merging the preliminary segmentation results by the analysis host by utilizing a Full Lambda-Schedule algorithm to obtain the first block or the second block.
Preferably, the segmentation threshold of the edge detection algorithm in step S2.21 is 20-40, and the combination threshold of the fulllambada-Schedule algorithm in step S2.22 is 50-70.
Preferably, the specific method of step S2.3 comprises:
s2.31, the analysis host machine superposes the ground heat image and the ground light image to obtain a specimen image;
s2.32, the analysis host marks the first block and the second block on the specimen image;
s2.33, the analysis host calculates the areas of the first block and the second block which are mutually overlapped;
s2.34, taking the larger one of the first block and the second block as the third block;
s2.35, and discarding the repeated part between the adjacent two third blocks as a fuzzy edge.
Preferably, the specific method of step S2.5 comprises:
s2.51, the analysis host machine processes the ground heat image and the ground light image corresponding to the third block into a spectrogram;
and S2.52, the analysis host acquires a median value from the spectrogram to serve as the ground heat information and the ground light information.
Preferably, in step S2.7, the demographic flow information is described as a directional link of the third block.
The most direct result in the population moving process is population gathering which is reflected by the increase of daytime heat and the increase of night light brightness in local areas, the heat source mainly refers to life and traffic, wherein the heat brought by life comprises heat generated during cooking and heat generated during air conditioner operation, and the heat brought by traffic is mainly heat emitted by automobiles; at night, the place with more people has higher lighting demand, so the light brightness is higher at night. Based on two factors of heat and light, the population mobility monitoring system acquires ground heat images and ground light images by using the remote sensing satellite and generates population mobility information by using the ground heat images and the ground light images, so that population investigation is not needed, and the population mobility process can be monitored more efficiently and quickly. Moreover, as the population mobility information is important strategic information and directly influences the development process of the city, the confidentiality is needed, so that the distributed storage and identity verification mode is adopted, on one hand, the safety of the population mobility information is ensured, and on the other hand, the safety of the access process of the population mobility information is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a block diagram of a population monitoring system based on satellite remote sensing according to an embodiment of the present invention.
Fig. 2 is a flowchart of a population monitoring method based on satellite remote sensing according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 and 2, fig. 1 is a block diagram of a population monitoring system based on satellite remote sensing according to an embodiment of the present invention, and fig. 2 is a flowchart of a population monitoring method based on satellite remote sensing according to an embodiment of the present invention.
The first embodiment is as follows: a population flow monitoring system based on satellite remote sensing comprises a remote sensing satellite, an analysis host, a distributed storage module and an identity verification module.
And the remote sensing satellite is used for acquiring a ground heat image and a ground light image.
And the analysis host is in communication connection with the remote sensing satellite and is used for acquiring the ground heat image and the ground light image and generating population mobility information.
And the distributed storage module is in communication connection with the analysis host and is used for performing distributed storage on the population mobility information.
And the identity authentication module is in communication connection with the analysis host and is used for authenticating the identity of the user who sends the request for reading the population mobility information.
The most direct result in the population moving process is population gathering which is reflected by the increase of daytime heat and the increase of night light brightness in local areas, the heat source mainly refers to life and traffic, wherein the heat brought by life comprises heat generated during cooking and heat generated during air conditioner operation, and the heat brought by traffic is mainly heat emitted by automobiles; at night, the place with more people has higher lighting demand, so the light brightness is higher at night. Based on two factors of heat and light, the population mobility monitoring system of the embodiment acquires ground heat images and ground light images by using a remote sensing satellite, and generates population mobility information by using the ground heat images and the ground light images, so that population investigation is not needed, and the population mobility process can be monitored more efficiently and quickly. In addition, because the population mobility information is important strategic information and directly affects the development process of the city, and therefore confidentiality needs to be kept, the embodiment adopts a distributed storage and identity verification mode, so that the security of the population mobility information is ensured on one hand, and the security of the access process of the population mobility information is ensured on the other hand.
In this embodiment, the distributed storage module includes a plurality of storage hosts communicatively coupled to the analysis host, and all of the storage hosts are distributed according to a mesh topology. The storage host can adopt a host of a government organization to reduce the cost and improve the complexity of access, thereby improving the safety. The storage hosts are distributed according to a mesh topology structure, transfer of population mobility information among different storage hosts can be achieved, so that when part of the storage hosts cannot access, smooth access can be guaranteed by using the rest storage hosts.
In this embodiment, the identity authentication module includes a mobile terminal, and the mobile terminal is connected with a fingerprint identification module, an iris identification module and a camera.
Example two: a population flow monitoring method based on satellite remote sensing comprises steps S1 to S4.
And S1, acquiring a ground heat image and a ground light image by the remote sensing satellite.
And S2, the analysis host acquires the ground heat image and the ground light image and generates population mobility information.
And S3, the analysis host stores the population flow information into the distributed storage module.
And S4, the user verifies the identity through the identity verification module, and if the identity passes the verification, the population flow information is read through the analysis host.
Example three: a population flow monitoring method based on satellite remote sensing is different from the second embodiment in that: the specific method of step S2 includes steps S2.1 through S2.7.
S2.1, preprocessing the ground heat image and the ground light image by the analysis host to obtain a ground heat preprocessing image and a ground light preprocessing image.
And S2.2, the analysis host machine performs block segmentation on the ground heat preprocessing image to obtain a plurality of first blocks, and performs block segmentation on the ground light preprocessing image to obtain a plurality of second blocks.
And S2.3, the analysis host performs fitting analysis on the first block and the second block, and processes the first block and the second block into a third block.
And S2.4, numbering all the third blocks by the analysis host.
And S2.5, quantifying the ground heat information and the ground light information in each third block by the analysis host.
And S2.6, selecting the ground heat information at any two moments on the same third block by the analysis host to calculate the heat change measurement, and selecting the ground light information at any two moments on the same third block to calculate the light change measurement.
And S2.7, generating population mobility information by the analysis host according to the heat change measurement and the light change measurement.
Since demographic information involves a large number of people, it is naturally impossible to describe with people as a subject, which brings a huge amount of data, resulting in processing difficulties. Therefore, the present embodiment takes the geographic information as a main body, and thus can be implemented with lower complexity. Considering that in practical application, a large number of floating population are generally gathered at the boundary positions of different administrative areas, and the boundary positions are difficult to describe in the administrative areas, the embodiment discards the existing administrative areas, divides the geographic information into the third block again, and describes the population floating information by using the third block, thereby achieving more accurate description.
Example four: a population flow monitoring method based on satellite remote sensing is different from the third embodiment in that: in step S2.2, the method for analyzing the first block and the second block by the host includes step S2.21 and step S2.22.
And S2.21, the analysis host machine utilizes an edge detection algorithm to segment the wave band corresponding to the normalized vegetation index in the ground heat image or the ground light image to obtain a primary segmentation result.
And S2.22, merging the preliminary segmentation results by the analysis host by utilizing a Full Lambda-Schedule algorithm to obtain a first block or a second block.
In this embodiment, the segmentation threshold of the edge detection algorithm in step S2.21 is 20-40, and the combination threshold of the fulllambada-Schedule algorithm in step S2.22 is 50-70.
Example five: a population mobility monitoring method based on satellite remote sensing, which is different from the third or fourth embodiment in that the specific method of step S2.3 includes step S2.31 to step S2.35.
And S2.31, the analysis host machine superposes the ground heat image and the ground light image to obtain a specimen image.
And S2.32, marking the first block and the second block on the specimen image by the analysis host.
S2.33, the analysis host calculates the area of the first block and the second block which are mutually overlapped.
And S2.34, taking the larger one of the first block and the second block as a third block.
S2.35, and discarding the repeated part between the two adjacent third blocks as a fuzzy edge.
The first block and the second block are different in division basis, so that the first block and the second block are different, but the core is population, so that most of the first block and the second block are the same, so that the third block can be obtained by fusion, and the fuzzy edge can be omitted to reduce complexity and facilitate implementation considering that most of different parts exist at the edge of the first block and the second block and the influence is small.
Example six: a population flow monitoring method based on satellite remote sensing is different from the third embodiment, the fourth embodiment or the fifth embodiment in that: the specific method of step S2.5 comprises step S2.51 and step S2.52.
And S2.51, the analysis host machine processes the ground heat image and the ground light image corresponding to the third block into a spectrogram.
And S2.52, the analysis host acquires a median value from the spectrogram to serve as ground heat information and ground light information.
Example seven: a population flow monitoring method based on satellite remote sensing is different from the third embodiment, the fourth embodiment, the fifth embodiment or the sixth embodiment in that: in step S2.7, the demographic flow information is described as a directional link of the third block.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A population flow monitoring system based on satellite remote sensing, comprising:
the remote sensing satellite is used for acquiring a ground heat image and a ground light image;
the analysis host is in communication connection with the remote sensing satellite and is used for acquiring the ground heat image and the ground light image and generating population flow information;
the distributed storage module is in communication connection with the analysis host and is used for performing distributed storage on the population mobility information;
and the identity authentication module is in communication connection with the analysis host and is used for authenticating the identity of the user who sends the request for reading the population mobility information.
2. The system for monitoring population flow based on satellite remote sensing as claimed in claim 1, wherein the distributed storage module comprises a plurality of storage hosts communicatively connected to the analysis host, and all of the storage hosts are distributed according to a mesh topology.
3. The system for monitoring population mobility based on satellite remote sensing of claim 2, wherein the identity verification module comprises a mobile terminal, and the mobile terminal is connected with a fingerprint identification module, an iris identification module and a camera.
4. A population flow monitoring method based on satellite remote sensing, which is characterized in that the population flow monitoring system based on satellite remote sensing of claim 3 is adopted, and comprises the following steps:
s1, the remote sensing satellite acquires the ground heat image and the ground light image;
s2, the analysis host acquires the ground heat image and the ground light image and generates the population mobility information;
s3, the analysis host stores the population movement information into the distributed storage module;
and S4, the user verifies the identity through the identity verification module, and if the identity passes the verification, the population flow information is read through the analysis host.
5. The method for monitoring population mobility based on satellite remote sensing as claimed in claim 1, wherein the specific method of step S2 includes:
s2.1, preprocessing the ground heat image and the ground light image by the analysis host to obtain a ground heat preprocessing image and a ground light preprocessing image;
s2.2, the analysis host machine performs block segmentation on the ground heat preprocessing image to obtain a plurality of first blocks, and performs block segmentation on the ground light preprocessing image to obtain a plurality of second blocks;
s2.3, the analysis host performs fitting analysis on the first block and the second block, and processes the first block and the second block into a third block;
s2.4, numbering all the third blocks by the analysis host;
s2.5, quantifying the ground heat information and the ground light information in each third block by the analysis host;
s2.6, the analysis host selects the ground heat information at any two moments on the same third block to calculate heat change measurement, and selects the ground light information at any two moments on the same third block to calculate light change measurement;
and S2.7, the analysis host generates the population mobility information according to the heat change measurement and the light change measurement.
6. The method for monitoring population mobility based on satellite remote sensing as claimed in claim 5, wherein in step S2.2, the method for the analysis host to obtain the first block and the second block comprises:
s2.21, the analysis host machine utilizes an edge detection algorithm to segment the wave band corresponding to the normalized vegetation index in the ground heat image or the ground light image to obtain a primary segmentation result;
and S2.22, merging the preliminary segmentation results by the analysis host by utilizing a Full Lambda-Schedule algorithm to obtain the first block or the second block.
7. The method for monitoring population mobility based on satellite remote sensing as claimed in claim 6, wherein the segmentation threshold of the edge detection algorithm in step S2.21 is 20-40, and the combination threshold of the Full Lambda-Schedule algorithm in step S2.22 is 50-70.
8. The population flow monitoring method based on satellite remote sensing as claimed in claim 6, wherein the specific method of step S2.3 comprises:
s2.31, the analysis host machine superposes the ground heat image and the ground light image to obtain a specimen image;
s2.32, the analysis host marks the first block and the second block on the specimen image;
s2.33, the analysis host calculates the areas of the first block and the second block which are mutually overlapped;
s2.34, taking the larger one of the first block and the second block as the third block;
s2.35, and discarding the repeated part between the adjacent two third blocks as a fuzzy edge.
9. The population flow monitoring method based on satellite remote sensing as claimed in claim 6, wherein the specific method of step S2.5 comprises:
s2.51, the analysis host machine processes the ground heat image and the ground light image corresponding to the third block into a spectrogram;
and S2.52, the analysis host acquires a median value from the spectrogram to serve as the ground heat information and the ground light information.
10. The method for monitoring population mobility based on satellite remote sensing as claimed in claim 6, wherein in step S2.7, the population mobility information is described as a directional link of the third block.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150063629A1 (en) * | 2013-08-29 | 2015-03-05 | Digitalglobe, Inc. | Generation of high resolution population density estimation cells through exploitation of high resolution satellite image data and low resolution population density data sets |
| CN107239756A (en) * | 2017-05-23 | 2017-10-10 | 国家地理空间信息中心 | Density of population analysis system based on high score satellite remote sensing date combination type of ground objects |
| CN108776360A (en) * | 2018-06-13 | 2018-11-09 | 华南农业大学 | A kind of method of urban heat island strength Monitoring on Dynamic Change |
| CN108871286A (en) * | 2018-04-25 | 2018-11-23 | 中国科学院遥感与数字地球研究所 | The completed region of the city density of population evaluation method and system of space big data collaboration |
-
2019
- 2019-10-26 CN CN201911026794.8A patent/CN110807724B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150063629A1 (en) * | 2013-08-29 | 2015-03-05 | Digitalglobe, Inc. | Generation of high resolution population density estimation cells through exploitation of high resolution satellite image data and low resolution population density data sets |
| CN107239756A (en) * | 2017-05-23 | 2017-10-10 | 国家地理空间信息中心 | Density of population analysis system based on high score satellite remote sensing date combination type of ground objects |
| CN108871286A (en) * | 2018-04-25 | 2018-11-23 | 中国科学院遥感与数字地球研究所 | The completed region of the city density of population evaluation method and system of space big data collaboration |
| CN108776360A (en) * | 2018-06-13 | 2018-11-09 | 华南农业大学 | A kind of method of urban heat island strength Monitoring on Dynamic Change |
Non-Patent Citations (1)
| Title |
|---|
| 范强: "利用夜光数据的东北三省国内生产总值预测", 《遥感信息》 * |
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