Vector space-time geographic data visualization system based on multi-source data fusion

Abstract

The invention discloses a vector space-time geographic data visualization system based on multi-source data fusion, relates to the technical field of geographic data visualization, and improves the accuracy of geographic data display. According to the method, the ground environment data and the remote sensing image data are associated and mapped to the geographic data filling area, the regional remote sensing image is generated according to the filling condition of the remote sensing image data in the geographic data filling area, and then the regional remote sensing image is divided into a plurality of feature image areas; primary and secondary related data of each feature image area is obtained in the geographic data filling area, a geographic visual display space is established by taking the geographic data filling area as a base, and a plurality of vector space blocks are arranged above the geographic data filling area; and associating the corresponding vector space block according to the distribution of the feature image region in the geographic data filling region, and inputting the geographic environment data associated with the feature image region into the vector space block.

Description

Technical Field

[0001] The invention relates to the technical field of geographic data visualization, and in particular to a vector spatiotemporal geographic data visualization system based on multi-source data fusion. Background Art

[0002] In the field of geographic information science and remote sensing technology, accurate and efficient collection and analysis of geographic data are crucial for many applications such as urban planning, environmental monitoring, disaster assessment, etc. Traditional geographic data collection methods often rely on ground surveys or satellite remote sensing, which have certain limitations in coverage, real-time or level of detail.

[0003] With the rapid development of geographic information system (GIS) technology, the scale and complexity of spatiotemporal geographic data continue to increase, especially in the fields of urban management, ecological environment monitoring, traffic management, etc., multi-source, multi-dimensional, and multi-temporal geographic data have become an important supporting resource.

[0004] The existing geographic data visualization technology has the following defects: Insufficient data fusion capabilities: When processing multi-source data, existing systems usually use simple superposition or splicing methods, lacking in-depth analysis and fusion of semantic relationships between data. This simple processing method makes it difficult to fully tap the potential value of multi-source data, resulting in insufficient accuracy and completeness of visualization results.

[0005] Insufficient interactivity and dynamism: The existing system has limited functions in terms of user interaction, and it is difficult for users to flexibly perform operations such as data screening and spatiotemporal slice selection. In addition, the system's dynamic display function is relatively simple and cannot provide real-time and dynamic visualization effects in complex scenarios, which limits its value in practical applications.

[0006] For this purpose, a vector spatiotemporal geographic data visualization system based on multi-source data fusion is provided. Summary of the invention

[0007] In order to solve the above technical problems, the purpose of the present invention is to provide a vector spatiotemporal geographic data visualization system based on multi-source data fusion.

[0008] In order to achieve the above object, the present invention provides the following technical solutions: A vector spatiotemporal geographic data visualization system based on multi-source data fusion, comprising a control center, wherein the control center is communicatively connected with a geographic data acquisition module, a vector spatiotemporal data analysis module and a dynamic visualization display module; The geographic data acquisition module is communicatively connected to a plurality of drones and a ground data acquisition unit, and a flight route and a data storage pool are set for each drone, so that the drone and the ground data acquisition unit communicate in real time during the flight of the drone along the flight route. The drone stores the collected remote sensing image data in the data storage pool according to the real-time communication result, and the ground data acquisition unit collects the ground environment data at its location at the same time; The vector spatiotemporal data analysis module is used to set a geographic data filling area, and according to the storage form of the remote sensing image data in the data storage pool, associate and map the ground environment data and the remote sensing image data to the geographic data filling area, generate a regional remote sensing image according to the filling status of the remote sensing image data in the geographic data filling area, and then divide a plurality of characteristic image areas in the regional remote sensing image, and obtain primary and secondary related data of each characteristic image area in the geographic data filling area; The dynamic visualization display module is used to establish a geographic visualization display space based on the geographic data filling area, and set a number of vector space blocks above the geographic data filling area, associate the corresponding vector space blocks according to the distribution of the feature image area in the geographic data filling area, and input the geographic environment data associated with the feature image area into the vector space block, and then set the primary and secondary data display chain in the vector space block according to the primary and secondary related data of the feature image area.

[0009] Furthermore, the process of real-time communication between the UAV and the ground data acquisition unit includes: Setting a communication detection cycle and setting a device number for each ground data collection unit, when each communication detection cycle starts, while each UAV is flying along the flight route in the target geographic area, the UAV generates an air-to-surface communication signal according to its current position information, and sends the air-to-surface communication signal to the ground data collection unit within the UAV data collection range; Whenever the ground data acquisition unit receives an air-to-surface communication signal within its data acquisition range, it synchronously generates a ground communication signal based on its geographic location information and sends the ground communication signal to the corresponding UAV.

[0010] Furthermore, the drone has a built-in data storage pool, and the data storage pool is provided with a data storage plane formed by mapping the size of the drone data collection range; Taking the UAV flight direction as the positive direction, and based on the geographic location information recorded by the ground communication signals of each ground data acquisition unit and the current location of the UAV, multiple data storage spaces are divided on the data storage plane.

[0011] Furthermore, the collection process of geographic environment data and remote sensing image data includes: During the flight of each UAV along the flight route, the remote sensing image data within the data collection range is continuously collected by the remote sensing data collection device, and the remote sensing image data is stored in the data storage pool in real time, and the remote sensing image data is divided into a plurality of remote sensing image segments according to the ground data collection units corresponding to each data storage space, and each remote sensing image segment is marked with the corresponding ground data collection unit equipment number; At the same time, each ground data collection unit collects multiple geographic environment data within its data collection range through various sensors.

[0012] Furthermore, the process of dividing the characteristic image area includes: A geographic data filling area is established according to the area and shape of the target geographic area, and remote sensing image data generated by each drone at the same time in the same cycle flight is filled into the geographic data filling area according to the location information of the drone at the corresponding time, so as to obtain the regional remote sensing image at the corresponding time; At the same time, according to the equipment number in each remote sensing image segment of the remote sensing image data, part of the geographical environment data of the ground data acquisition unit with the corresponding equipment number at the corresponding moment is bound to the remote sensing image segment corresponding to the remote sensing image data; For the regional remote sensing image at each moment, the pixel value of each pixel in the regional remote sensing image is obtained, and then the Gaussian mixture model divides a number of characteristic image areas in the regional remote sensing image, and a different event number is set for each characteristic image area. The characteristic image area is composed of a number of adjacent or scattered pixels.

[0013] Furthermore, the process of acquiring the primary and secondary correlation data of each characteristic image region includes: Matching each characteristic image region in the remote sensing image of the adjacent time region under the same cyclic flight, thereby obtaining the relative matching degree between each characteristic image region in the remote sensing image of the adjacent time region, and then setting the associated annotation for the corresponding two characteristic image regions in the remote sensing image of the corresponding adjacent time region according to the relative matching degree between each characteristic image region; Retrieving geographic environment data associated with each characteristic image area from the geographic data filling area, and then establishing a two-dimensional coordinate system, and mapping other data in the geographic environment data that are not image data into the two-dimensional coordinate system in chronological order; Obtain the change slopes between the geographical environment data at adjacent moments, and then calculate the total change slopes of the geographical environment data associated with each characteristic image area in the same cyclic flight; Three slope change intervals are set, and then according to which slope change interval the total value of the change slope is located, the geographic environment data is recorded as irrelevant visualization data, secondary relevant visualization data or primary relevant visualization data.

[0014] Furthermore, the process of inputting the geographic environment data associated with the characteristic image area into the vector space block includes: Whenever the vector spatiotemporal data parsing module receives data from the geographic data acquisition module, it automatically updates the geographic data filling area and synchronizes the updated geographic data filling area with the dynamic visualization display module; Whenever the dynamic visualization display module receives the geographic data filling area, it automatically renders the vector space block of the corresponding position in the geographic visualization display space according to the pixel distribution of each characteristic image area in the geographic data filling area, and inputs the geographic environment data associated with the corresponding position in the geographic data filling area into the vector space block; Then the vector space block generates a primary and secondary data display chain according to the received data, wherein the primary and secondary data display chain is composed of num data nodes, and the data nodes are divided into primary data nodes, secondary data nodes and irrelevant data nodes; Then, irrelevant visualization data, secondary relevant visualization data or primary relevant visualization data of the feature image area are input into the primary data node, secondary data node and irrelevant data node respectively, and num is a natural number greater than 0, indicating the total number of geographic environment data types.

[0015] Furthermore, the vector space blocks can be associated with different characteristic image areas at different times, and when the positions of the vector space blocks associated with different characteristic image areas at each time change, the primary and secondary visualization data types displayed by the vector space blocks at the original positions change. That is, when the user browses the geographic visualization display space through the time slider, the data types displayed by each vector space block change dynamically, and the vector space blocks corresponding to the same characteristic image area display the same data types by default.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention sets a flight route and a data storage pool for each UAV, so that the UAV can communicate with the ground data acquisition unit in real time while flying along the flight route. The UAV stores the collected remote sensing image data in the data storage pool according to the real-time communication result, thereby realizing a real-time communication and data storage mechanism to ensure timely updating and processing of data, which is helpful for real-time monitoring and response to environmental changes, and lays a foundation for subsequent data fusion of remote sensing image data and geographic environment data.

[0017] 2. The present invention improves the accuracy and detail of geographic data display by associating and mapping remote sensing image data with ground environment data. At the same time, by establishing geographic visualization display space and vector space blocks, geographic data can be displayed intuitively, which is convenient for users to understand and make decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.

[0020] like Figure 1 As shown, a vector spatiotemporal geographic data visualization system based on multi-source data fusion includes a control center, and the control center is communicatively connected to a geographic data acquisition module, a vector spatiotemporal data parsing module, and a dynamic visualization display module; The geographic data acquisition module is communicatively connected to a plurality of drones and a ground data acquisition unit, and a flight route and a data storage pool are set for each drone, so that the drone and the ground data acquisition unit communicate in real time during the flight of the drone along the flight route. The drone stores the collected remote sensing image data in the data storage pool according to the real-time communication result, and the ground data acquisition unit collects the ground environment data at its location at the same time; The vector spatiotemporal data analysis module is used to set a geographic data filling area, and according to the storage form of the remote sensing image data in the data storage pool, associate and map the ground environment data and the remote sensing image data to the geographic data filling area, generate a regional remote sensing image according to the filling status of the remote sensing image data in the geographic data filling area, and then divide a plurality of characteristic image areas in the regional remote sensing image, and obtain primary and secondary related data of each characteristic image area in the geographic data filling area; The dynamic visualization display module is used to establish a geographic visualization display space based on the geographic data filling area, and set a number of vector space blocks above the geographic data filling area, associate the corresponding vector space blocks according to the distribution of the feature image area in the geographic data filling area, and input the geographic environment data associated with the feature image area into the vector space block, and then set the primary and secondary data display chain in the vector space block according to the primary and secondary related data of the feature image area.

[0021] Further, the working principle of the present invention is described below by way of examples: The geographic data acquisition module is connected to n unmanned aerial vehicles and m ground data acquisition units, and each unmanned aerial vehicle and ground data acquisition unit is numbered a1, a2, ..., a n , b1, b2, ..., b m , n and m are natural numbers greater than 0; The drone is equipped with a GPS positioning device, a signal transmission device and a remote sensing data acquisition device; The ground data collection unit is composed of a GPS positioning device, a variety of sensors and a signal transmission device, and each ground data collection unit is installed in a target geographical area, wherein the sensor types are, for example, a temperature sensor, a humidity sensor, an infrared detector, etc.; It should be noted that the UAV and the ground data collection unit are both set with fixed data collection ranges, and the data collection ranges of adjacent ground data collection units partially overlap, the area of ​​the data collection ranges of all ground data collection units in the target geographical area is larger than the area of ​​the target geographical area, and the flight speeds of the UAVs are the same; The geographic data collection module sets different equipment numbers for each drone and ground data collection unit, such as a154648; A different flight starting point and flight end point are set for each drone, and a flight route is set with the radius length of the drone's data collection range as the flight route width, so that the drone flies along the flight route at the flight starting point and the flight end point in a cycle, and the drone can traverse the entire target geographical area during each cycle of flight. It should be noted that the flight altitude of each drone is the same, and there will be no collision between them during the flight along the flight route, and at the same time, the data collection range of each drone covers the entire target geographical area; Set the communication detection cycle, the length of the communication detection cycle is generally 10ms; Whenever a communication detection cycle begins, while each UAV is flying along the flight route in the target geographic area, the UAV generates an air-to-surface communication signal based on its current position information, and sends the air-to-surface communication signal to the ground data collection unit within the UAV data collection range; Whenever the ground data collection unit receives an air-to-surface communication signal within its data collection range, it synchronously generates a ground communication signal based on its geographical location information and sends the ground communication signal to the corresponding UAV; The drone has a built-in data storage pool, and the data storage pool is provided with a data storage plane formed by mapping according to the size of the drone data collection range; Taking the UAV's flight direction as the positive direction, and based on the geographic location information recorded by the ground communication signals of each ground data acquisition unit and the current position of the UAV, multiple data storage spaces are divided on the data storage plane, where the area of ​​each data storage space is inversely proportional to the distance between the ground data acquisition unit and the UAV corresponding to each ground communication signal.

[0022] Furthermore, during the flight of each UAV along the flight route, the remote sensing image data within the data collection range is continuously collected by the remote sensing data collection device, and the remote sensing image data is stored in the data storage pool in real time, and the remote sensing image data is divided into a plurality of remote sensing image segments according to the ground data collection unit corresponding to each data storage space, and each remote sensing image segment is marked with the corresponding ground data collection unit equipment number; At the same time, each ground data collection unit collects multiple geographic environment data within its data collection range through various sensors, and the geographic environment data is, for example, a regional thermal distribution map and a regional humidity distribution map; Whenever each drone completes a cycle flight, each drone and the ground data acquisition unit uploads the data they collect to the geographic data acquisition module. The geographic data acquisition module then marks each data with the corresponding drone number or equipment number and sends all the data to the vector spatiotemporal data analysis module.

[0023] Furthermore, the vector spatiotemporal data analysis module establishes a geographic data filling area according to the area and shape of the target geographic area, and generates remote sensing image data for each drone at the same time in the same cyclic flight, and fills the remote sensing image data into the geographic data filling area according to the position information of the drone at the corresponding time, so as to obtain the regional remote sensing image at the corresponding time; At the same time, according to the equipment number in each remote sensing image segment of the remote sensing image data, part of the geographical environment data of the ground data acquisition unit with the corresponding equipment number at the corresponding moment is bound to the remote sensing image segment corresponding to the remote sensing image data; A time slider is set for the geographic data filling area, and the remote sensing image data and geographic environment data generated at each moment are bound to the time slider, so that the remote sensing image data and geographic environment data are synchronously displayed and changed in the time dimension as the time slider scrolls; For the regional remote sensing image at each moment, the pixel value of each pixel in the regional remote sensing image is obtained, and then the Gaussian mixture model divides a number of characteristic image areas in the regional remote sensing image, and a different event number is set for each characteristic image area. The characteristic image area is composed of a number of adjacent or scattered pixels.

[0024] Furthermore, firstly, the characteristic image regions in the remote sensing images of the adjacent time regions under the same cyclic flight are matched with each other, and then the relative matching degree between the characteristic image regions in the remote sensing images of the adjacent time regions is obtained. The relative matching degree obtaining process includes: For any two feature image areas of regional remote sensing images at adjacent times, firstly, one of the feature image areas is selected as the comparison feature image area, and the other feature image area is overlapped and matched starting from the first pixel of the comparison image area. According to the overlap matching, the pixel difference between the pixels at the overlapping position is obtained to see whether it is less than or equal to the pixel difference threshold. If it is less than or equal to the result, then the matching number is recorded once, otherwise no operation is performed; Counting and selecting the maximum number of matching times as the first relative matching number, dividing the first relative matching number by the total number of pixels in another feature image region, and then obtaining a first matching degree, and then using another feature image region as a comparison feature image region to repeat the above process of obtaining the matching degree, comparing the two obtained matching degrees, and then selecting the maximum matching degree as the relative matching degree corresponding to the two feature image regions; Set a relative matching threshold. If the relative matching degree of a feature image region in the two regional remote sensing images is greater than or equal to the relative matching threshold, then the corresponding feature image region matching combination is recorded. Otherwise, the corresponding feature image region matching combination is discarded. The retained feature image region matching combinations are sorted in order according to the relative matching degree. First, according to the feature image region matching combination with the largest relative matching degree, the corresponding two feature image regions are set with associated annotations in the corresponding adjacent time region remote sensing image, and the remaining retained feature image region matching combinations with the above two feature image regions are eliminated. Then, according to the remaining feature image region matching combination with the largest relative matching degree, the corresponding two feature image regions are set with associated annotations in the corresponding adjacent time region remote sensing image, and so on, until all the retained feature image region matching combinations are eliminated.

[0025] Further, the geographic environment data associated with each characteristic image area is retrieved from the geographic data filling area, and then a two-dimensional coordinate system is established, and other data in the geographic environment data that are not image data are sequentially mapped to the two-dimensional coordinate system in chronological order; Obtain the change slopes between the geographical environment data at adjacent moments, and then calculate the total change slopes of the geographical environment data associated with each characteristic image area in the same cyclic flight; Set three slope change intervals [0, α), [α, γ] and (γ, ∞). For geographical environment data whose total slope value is in the slope change interval [0, α), it is recorded as irrelevant visualization data. For geographical environment data whose total value of change slope is in the slope change interval [α, γ], it is recorded as secondary relevant visualization data; For geographical environment data whose total value of change slope is in the slope change interval (γ, ∞), it is recorded as the main relevant visualization data; For geographic environment data whose data type is image data, the total difference in pixel values ​​of the geographic environment data at adjacent moments is obtained, and three threshold intervals similar to the slope change interval are set. Then, according to the interval in which the total difference in pixel values ​​is located, the geographic environment data whose data type is image data is recorded as irrelevant visualization data, secondary relevant visualization data, or primary relevant visualization data.

[0026] Furthermore, the dynamic visualization display module establishes a geographic visualization display space, the geographic visualization display space is based on the geographic data filling area, and is divided into a plurality of vector space blocks of the same size above the geographic data filling area; Whenever the vector spatiotemporal data parsing module receives data from the geographic data acquisition module, it automatically updates the geographic data filling area and synchronizes the updated geographic data filling area with the dynamic visualization display module; Whenever the dynamic visualization display module receives the geographic data filling area, it automatically renders the vector space block of the corresponding position in the geographic visualization display space according to the pixel distribution of each characteristic image area in the geographic data filling area, and inputs the geographic environment data associated with the corresponding position in the geographic data filling area into the vector space block; Then the vector space block generates a primary and secondary data display chain according to the received data, wherein the primary and secondary data display chain is composed of num data nodes, and the data nodes are divided into primary data nodes, secondary data nodes and irrelevant data nodes; Then, irrelevant visualization data, secondary-related visualization data or primary-related visualization data of the feature image area are input into the primary data node, secondary data node and irrelevant data node respectively, wherein the primary data node is located at the top of the primary and secondary data display chain and is displayed by default, and the secondary data node and irrelevant data node are located at the second and third layers of the primary and secondary data display chain respectively, and the user can change the displayed data by clicking on the vector space block, and num is a natural number greater than 0, indicating the total number of geographical environment data types; The vector space blocks can be associated with different characteristic image areas at different times, and when the positions of the vector space blocks associated with different characteristic image areas at each time change, the primary and secondary visualization data types displayed by the vector space blocks at the original positions change. That is, when the user browses the geographic visualization display space through the time slider, the data types displayed by each vector space block change dynamically, and the vector space blocks corresponding to the same characteristic image area display the same data types by default.

[0027] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A vector spatiotemporal geographic data visualization system based on multi-source data fusion, including a control center, characterized in that: The control center is communicatively connected to a geographic data acquisition module, a vector spatiotemporal data analysis module, and a dynamic visualization display module; The geographic data acquisition module is communicatively connected to a plurality of drones and a ground data acquisition unit, and a flight route and a data storage pool are set for each drone, so that the drone and the ground data acquisition unit communicate in real time during the flight of the drone along the flight route. The drone stores the collected remote sensing image data in the data storage pool according to the real-time communication result, and the ground data acquisition unit collects the ground environment data at its location at the same time; The vector spatiotemporal data analysis module is used to set a geographic data filling area, and according to the storage form of the remote sensing image data in the data storage pool, associate and map the ground environment data and the remote sensing image data to the geographic data filling area, generate a regional remote sensing image according to the filling status of the remote sensing image data in the geographic data filling area, and then divide a plurality of characteristic image areas in the regional remote sensing image, and obtain primary and secondary related data of each characteristic image area in the geographic data filling area; The dynamic visualization display module is used to establish a geographic visualization display space based on the geographic data filling area, and set a number of vector space blocks above the geographic data filling area, associate the corresponding vector space blocks according to the distribution of the feature image area in the geographic data filling area, and input the geographic environment data associated with the feature image area into the vector space block, and then set the primary and secondary data display chain in the vector space block according to the primary and secondary related data of the feature image area.

2. A vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 1, characterized in that: The process of real-time communication between the UAV and the ground data acquisition unit includes: Set a device number for each ground data collection unit. When each UAV flies along the flight route in the target geographical area, the UAV generates an air-to-surface communication signal according to its current position information, and sends the air-to-surface communication signal to the ground data collection unit within the UAV data collection range. Whenever the ground data acquisition unit receives an air-to-surface communication signal within its data acquisition range, it synchronously generates a ground communication signal based on its geographic location information and sends the ground communication signal to the corresponding UAV.

3. The vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 1 is characterized in that: The drone has a built-in data storage pool, and the data storage pool is provided with a data storage plane formed by mapping according to the size of the drone data collection range; Taking the UAV flight direction as the positive direction, and based on the geographic location information recorded by the ground communication signals of each ground data acquisition unit and the current location of the UAV, multiple data storage spaces are divided on the data storage plane.

4. The vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 2 is characterized in that: The collection process of geographic environment data and remote sensing image data includes: As each UAV flies along the flight route, the remote sensing image data within its data collection range is continuously collected through the remote sensing data collection device, and the remote sensing image data is stored in the data storage pool in real time. In addition, the remote sensing image data is divided into several remote sensing image fragments according to the ground data collection unit corresponding to each data storage space, and each remote sensing image fragment is marked with the corresponding ground data collection unit equipment number. Each ground data collection unit collects multiple geographic environment data within its data collection range through various sensors.

5. The vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 4 is characterized in that: The process of dividing the characteristic image area includes: A geographic data filling area is established according to the area and shape of the target geographic area, and the remote sensing image data generated by each drone at the same time in the same cycle flight is filled into the geographic data filling area according to the location information of the drone at the corresponding time, thereby obtaining the regional remote sensing image at the corresponding time; At the same time, according to the equipment number in each remote sensing image segment of the remote sensing image data, part of the geographical environment data of the ground data acquisition unit with the corresponding equipment number at the corresponding moment is bound to the remote sensing image segment corresponding to the remote sensing image data; For the regional remote sensing image at each moment, the pixel value of each pixel in the regional remote sensing image is obtained, and then the Gaussian mixture model divides a number of characteristic image regions in the regional remote sensing image.

6. The vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 5 is characterized in that: The process of acquiring primary and secondary correlation data of each feature image area includes: Matching each characteristic image region in the remote sensing image of the adjacent time region under the same cycle flight, thereby obtaining the relative matching degree between each characteristic image region in the remote sensing image of the adjacent time region, and setting an associated annotation for the corresponding two characteristic image regions in the remote sensing image of the corresponding adjacent time region according to the relative matching degree between each characteristic image region; Retrieving geographic environment data associated with each characteristic image area from the geographic data filling area, and then establishing a two-dimensional coordinate system, and mapping other data in the geographic environment data that are not image data into the two-dimensional coordinate system in chronological order; Obtain the change slopes between the geographical environment data at adjacent moments, and then calculate the total change slopes of the geographical environment data associated with each characteristic image area in the same cyclic flight; Three slope change intervals are set, and then according to which slope change interval the total value of the change slope is located, the geographic environment data is recorded as irrelevant visualization data, secondary relevant visualization data or primary relevant visualization data.

7. The vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 6 is characterized in that: The process of inputting geographic context data associated with characteristic image areas into vector space blocks includes: Whenever the vector spatiotemporal data parsing module receives data from the geographic data acquisition module, it automatically updates the geographic data filling area and synchronizes the updated geographic data filling area with the dynamic visualization display module; Whenever the dynamic visualization display module receives the geographic data filling area, it automatically renders the vector space block of the corresponding position in the geographic visualization display space according to the pixel distribution of each characteristic image area in the geographic data filling area, and inputs the geographic environment data associated with the corresponding position in the geographic data filling area into the vector space block; Then the vector space block generates a primary and secondary data display chain according to the received data, wherein the primary and secondary data display chain is composed of num data nodes, and the data nodes are divided into primary data nodes, secondary data nodes and irrelevant data nodes; Then, irrelevant visualization data, secondary relevant visualization data or primary relevant visualization data of the feature image area are input into the primary data node, secondary data node and irrelevant data node respectively, and num is a natural number greater than 0, indicating the total number of geographic environment data types.

8. The vector spatiotemporal geographic data visualization system based on multi-source data fusion according to claim 7 is characterized in that: The vector space blocks are associated with different characteristic image regions at different times, and when the positions of the vector space blocks associated with different characteristic image regions at each time change, the primary and secondary visualization data types displayed by the vector space blocks at the original positions change.

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