A multi-dimensional image processing system based on high-resolution remote sensing data

Abstract

The invention discloses a multi-dimensional image processing system based on high-resolution remote sensing data, and relates to the field of image processing technology. The system comprises an acquisition module, which is used to acquire a multi-dimensional remote sensing image of a city based on high-resolution remote sensing data; a construction module, which is connected to the acquisition module, and is used to perform feature enhancement on a plurality of unit remote sensing images to obtain a plurality of target remote sensing images; a stratification module, which is connected to the construction module, and is used to perform stratification on a city model based on preset conditions to obtain a plurality of city hierarchical models, and to acquire the correlation between the city hierarchical models; a marking module, which is connected to the stratification module; and a switching module, which is connected to the marking module. The invention has a good multi-dimensional image processing function, and is more convenient for personnel to assist in the subsequent planning and management of the city.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and in particular to a multi-dimensional image processing system based on high-resolution remote sensing data. Background Art

[0002] With the development of society and the progress of urban planning, multi-dimensional image processing technology is currently widely used in the fields of urban planning and construction, providing data support for urban planning and management. At present, in the multi-dimensional image processing of the city, it is difficult to ensure a clear understanding and analysis of the urban environment, and it is also impossible to jointly reference the environment provided by the urban image. There is no better multi-dimensional image processing effect, which is not convenient for personnel to assist in the subsequent planning and management of the city. It is difficult to perform hierarchical processing of urban planning through multi-dimensional images, and there is no better multi-dimensional image processing effect. Summary of the invention

[0003] The purpose of the present invention is to provide a multi-dimensional image processing system based on high-resolution remote sensing data to solve the deficiencies in the background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a multi-dimensional image processing system based on high-resolution remote sensing data, comprising:

[0005] An acquisition module is used to acquire multi-dimensional remote sensing images of the city based on high-resolution remote sensing data, and to divide the remote sensing images based on city information to obtain multiple unit remote sensing images;

[0006] A construction module, connected to the acquisition module, is used to perform feature enhancement on a plurality of unit remote sensing images to obtain a plurality of target remote sensing images, and to construct a city model based on the plurality of target remote sensing images;

[0007] A stratification module, connected to the construction module, is used to stratify the city model based on preset conditions to obtain multiple city hierarchical models, obtain the association relationship between the city hierarchical models, and combine the city hierarchical models based on the association relationship to obtain multiple city management models;

[0008] A marking module, connected to the layering module, is used to mark the associated management information corresponding to the city management model and bind the associated management information to the city management model;

[0009] The switching module is connected with the marking module, and the urban management model is linked based on the associated management information to obtain the urban management model chain, and the model is overlapped or jumped in the urban management model chain based on the linkage point.

[0010] In a preferred embodiment, the acquisition module includes:

[0011] The limiting unit is used to define the urban management scope and obtain multi-dimensional remote sensing images within the urban management scope based on high-resolution remote sensing;

[0012] An acquisition unit, used to acquire object information in a multi-dimensional remote sensing image, wherein the object information includes object features and locations of the object features, and to set segmentation conditions based on the object information;

[0013] The division unit is used to divide the multi-dimensional remote sensing image based on the object information and the division condition to obtain a plurality of unit remote sensing images.

[0014] In a preferred embodiment, the building blocks include:

[0015] A setting unit, used to set a plurality of enhancement packages, wherein the enhancement packages include a database and enhancement parameters, and the database includes a three-dimensional model of an object and a corresponding object name;

[0016] An enhancement unit is used to make a one-to-one correspondence between multiple unit remote sensing images and enhancement packages, perform image matching in the enhancement package based on object information in the unit remote sensing images to obtain a corresponding three-dimensional model of the object, obtain corresponding enhancement parameters based on the three-dimensional model of the object, and enhance the object features in the unit remote sensing images through the enhancement parameters to obtain multiple target remote sensing images;

[0017] The construction unit is used to fill in the image of multiple target remote sensing images corresponding to the multi-dimensional remote sensing image to obtain the target multi-dimensional remote sensing image, and to construct a city model based on the target multi-dimensional remote sensing image.

[0018] In a preferred embodiment, the setting unit includes:

[0019] A storage unit, used to obtain the shape of an object and a corresponding object name based on big data, build a three-dimensional model of the object based on the shape of the object, and store the three-dimensional model of the object and the corresponding object name in a database;

[0020] The data marking unit is used to obtain image parameters of the object shape as reinforcement parameters, mark the reinforcement parameters on the three-dimensional model of the object, and use the database and the reinforcement parameters as a reinforcement package.

[0021] In a preferred embodiment, the layered module comprises:

[0022] An information setting unit, used to set preset conditions, wherein the preset conditions include urban facility categories and object information corresponding to the urban facility categories;

[0023] A stratification unit is used to match the object information in the city model with the preset conditions to obtain the corresponding city facility class, stratify the city model based on the city facility class to obtain multiple city hierarchical models, respectively mark the multiple city hierarchical models to obtain identity information, and bind the identity information with the city hierarchical model;

[0024] The management unit is used to establish association relationships between multiple city hierarchical models based on identity information, and to sort and combine multiple city hierarchical models based on the association relationships to obtain multiple city management models.

[0025] In a preferred embodiment, the information setting unit includes:

[0026] A classification unit, used to set the city facility class, mark the object tags based on the city equipment class, obtain the general object information in the city based on big data, extract the tags of the general object information, correspond the tags of the general object information with the object tags of the city equipment class and classify them in the city equipment class;

[0027] The management unit is used to take the urban facility class and the object information corresponding to the urban facility class as preset conditions.

[0028] In a preferred embodiment, the marking module comprises:

[0029] An information association unit, used for marking the urban facility class corresponding to the first ranked urban hierarchy model in the urban management model as associated management information;

[0030] The information marking unit is used to bind the associated management information with the city management model and mark the number of corresponding city hierarchy models in the city management model.

[0031] In a preferred embodiment, the switching module includes:

[0032] A linkage unit, used to set linkage points between city hierarchical models in the city management model based on the associated management information to obtain a city management model chain, wherein the linkage points include linkage overlapping points and linkage parallel points;

[0033] A processing unit is used to overlap or jump models in the urban management model chain based on linkage points.

[0034] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0035] The present invention can ensure a clear understanding and analysis of a single city hierarchy model while also being able to separately and associatively refer to multiple city hierarchy models together, has a good multi-dimensional image processing function, and is more convenient for personnel to assist in subsequent city planning and management. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Embodiment 1: A multi-dimensional image processing system based on high-resolution remote sensing data described in this embodiment includes:

[0038] An acquisition module is used to acquire multi-dimensional remote sensing images of the city based on high-resolution remote sensing data, and to divide the remote sensing images based on city information to obtain multiple unit remote sensing images;

[0039] A construction module, connected to the acquisition module, is used to perform feature enhancement on a plurality of unit remote sensing images to obtain a plurality of target remote sensing images, and to construct a city model based on the plurality of target remote sensing images;

[0040] A stratification module, connected to the construction module, is used to stratify the city model based on preset conditions to obtain multiple city hierarchical models, obtain the association relationship between the city hierarchical models, and combine the city hierarchical models based on the association relationship to obtain multiple city management models;

[0041] A marking module, connected to the layering module, is used to mark the associated management information corresponding to the city management model and bind the associated management information to the city management model;

[0042] The switching module is connected with the marking module, and the city management model is linked based on the associated management information to obtain the city management model chain, and the model overlaps or jumps in the city management model chain based on the linkage point;

[0043] It is further explained that with the development of society and the progress of urban planning, multi-dimensional image processing technology is currently widely used in the field of urban planning and construction, providing data support for urban planning and management. At present, in the multi-dimensional image processing of the city, it is difficult to ensure a clear understanding and analysis of the urban environment, and it is also impossible to jointly refer to the environment provided by the urban image. There is no good multi-dimensional image processing effect, which is not convenient for personnel to subsequently assist in urban planning and management. It is difficult to perform hierarchical processing of urban planning through multi-dimensional images, and there is no good multi-dimensional image processing effect. However, this application can ensure that a single urban hierarchical model can be clearly understood and analyzed, and can also separately and relatedly jointly refer to multiple urban hierarchical models, which has a good multi-dimensional image processing effect, and is more convenient for personnel to subsequently assist in urban planning and management;

[0044] In one embodiment, the acquisition module includes:

[0045] The limiting unit is used to define the urban management scope and obtain multi-dimensional remote sensing images within the urban management scope based on high-resolution remote sensing;

[0046] An acquisition unit, used to acquire object information in a multi-dimensional remote sensing image, wherein the object information includes object features and locations of the object features, and to set segmentation conditions based on the object information;

[0047] A division unit, used for dividing the multi-dimensional remote sensing image based on object information and division conditions to obtain a plurality of unit remote sensing images;

[0048] Further explanation, first select the city management scope, where the city management scope is the city scope that needs image processing, then obtain a multidimensional remote sensing image within the city management scope based on high-resolution remote sensing, then obtain object information within the city management scope, where the object information includes object features in the multidimensional remote sensing image and the location of the object features, which is used to determine the type of objects photographed in the multidimensional remote sensing image and the location of the objects, and the object features are used to distinguish different objects, and then set the division conditions according to the object information, for example, a single object feature within a preset range is used as a division condition (there are multiple objects in the preset range M, and the multiple objects are respectively used as multiple unit remote sensing images, then the range occupied by the multiple objects within the preset range is the division condition, or there is only one object within the preset range M, then the preset range is used as the division condition to obtain a unit remote sensing image), divide the multidimensional remote sensing image based on the object information and the division condition, there will be multiple unit remote sensing images in the multidimensional remote sensing image within the city management scope, and the multidimensional remote sensing image can be divided and processed to achieve image clarity and improve image quality, making the processing process faster and more accurate;

[0049] In one embodiment, the building blocks include:

[0050] A setting unit, used to set a plurality of enhancement packages, wherein the enhancement packages include a database and enhancement parameters, and the database includes a three-dimensional model of an object and a corresponding object name;

[0051] An enhancement unit is used to make a one-to-one correspondence between multiple unit remote sensing images and enhancement packages, perform image matching in the enhancement package based on object information in the unit remote sensing images to obtain a corresponding three-dimensional model of the object, obtain corresponding enhancement parameters based on the three-dimensional model of the object, and enhance the object features in the unit remote sensing images through the enhancement parameters to obtain multiple target remote sensing images;

[0052] A construction unit, used for performing image filling on a plurality of target remote sensing images corresponding to a multi-dimensional remote sensing image to obtain a target multi-dimensional remote sensing image, and constructing a city model based on the target multi-dimensional remote sensing image;

[0053] In one embodiment, the setting unit includes:

[0054] A storage unit, used to obtain the shape of an object and a corresponding object name based on big data, build a three-dimensional model of the object based on the shape of the object, and store the three-dimensional model of the object and the corresponding object name in a database;

[0055] A data marking unit, used for obtaining image parameters of the object shape as reinforcement parameters, marking the reinforcement parameters on the three-dimensional model of the object, and using the database and the reinforcement parameters as a reinforcement package;

[0056] To further explain, firstly, a large number of possible object shapes in the city are obtained based on big data, and a three-dimensional model of the object is constructed based on the object shape, and then the three-dimensional model of the object and the corresponding object name are stored in the database. The three-dimensional model of the object and the corresponding object name are information correspondences. After that, the enhancement parameters are obtained on the image of the object shape, and the enhancement parameters are marked on the three-dimensional model of the object. The unit remote sensing image and the enhancement package are matched one by one, and the unit remote sensing image is processed simultaneously, which improves the efficiency of enhancing the unit remote sensing image. The enhancement method here is to obtain the object information in the unit remote sensing image and perform image matching in the enhancement package to obtain the corresponding information in the database. The three-dimensional model of the object is obtained, and the corresponding enhancement parameters are obtained based on the three-dimensional model of the object. The object features in the unit remote sensing image are enhanced based on the enhancement parameters. Here, the object is processed to be clear to avoid image blur and make the image more high-definition. After the unit remote sensing image is enhanced, multiple target remote sensing images are obtained. Then, the multiple target remote sensing images are filled into the corresponding multi-dimensional remote sensing images to obtain the target multi-dimensional remote sensing image. Then, the city model is constructed according to the target multi-dimensional remote sensing image, which can better construct and process the multi-dimensional remote sensing image, better understand the urban structure, and facilitate the subsequent personnel to make data reference for urban planning;

[0057] In one embodiment, the layering module includes:

[0058] An information setting unit, used to set preset conditions, wherein the preset conditions include urban facility categories and object information corresponding to the urban facility categories;

[0059] A stratification unit is used to match the object information in the city model with the preset conditions to obtain the corresponding city facility class, stratify the city model based on the city facility class to obtain multiple city hierarchical models, respectively mark the multiple city hierarchical models to obtain identity information, and bind the identity information with the city hierarchical model;

[0060] A management unit, used to establish association relationships between multiple city hierarchical models based on identity information, and to sort and combine multiple city hierarchical models based on the association relationships to obtain multiple city management models;

[0061] In one embodiment, the information setting unit includes:

[0062] A classification unit, used to set the city facility class, mark the object tags based on the city equipment class, obtain the general object information in the city based on big data, extract the tags of the general object information, correspond the tags of the general object information with the object tags of the city equipment class and classify them in the city equipment class;

[0063] A management unit, used to use the urban facility class and the object information corresponding to the urban facility class as a preset condition;

[0064] To further explain, first, the urban facility class is set corresponding to the urban model. For example, the building class, road class, road facility class, geographical environment class and urban mobile facility class are respectively used as different urban facility classes. Here, the general object information that may exist in the city is obtained through big data according to the urban equipment class, and the tags of the general object information are extracted. The tags of the general object information are matched with the object tags of the urban equipment class and classified in the urban equipment class. Here, a variety of different object information can be obtained corresponding to the urban facility class and classified and managed. Then, the urban facility class and the object information corresponding to the urban facility class are used as preset conditions. Here, the object information in the urban model is obtained, and then the object information is matched with the preset conditions to obtain the urban facility class set by the object information in the urban model. Based on the urban facility class, the urban model is layered to obtain multiple urban hierarchical models, and identity tags are respectively performed on the multiple urban hierarchical models to obtain identity information. The identity information is bound to the urban hierarchical model. Here, the urban model is classified according to the urban facilities. The class stratifies the object information therein, and manages the model hierarchies that do not pass separately. The city model image can be managed according to the city facility class, and then the association relationship between multiple city hierarchical models is established based on the identity information. The multiple city hierarchical models are sorted and combined based on the association relationship to obtain multiple city management models. For example, when the city needs to maintain the geographical environment, the city hierarchical model corresponding to the city facility class based on the geographical environment is used as the main reference information, and the city hierarchical models of one or more of the surrounding building classes, road classes, road facility classes and urban mobile facility classes that have an association relationship with the city hierarchical model corresponding to the geographical environment are associated and sorted and combined, and multiple city management models are obtained by sorting according to the distance to the surrounding. While ensuring that a single city hierarchical model can be clearly understood and analyzed, multiple city hierarchical models can also be separately and associated for joint reference, which has a good multi-dimensional image processing effect, and is more convenient for personnel to assist in the subsequent planning and management of the city;

[0065] In one embodiment, the marking module includes:

[0066] An information association unit, used for marking the urban facility class corresponding to the first ranked urban hierarchy model in the urban management model as associated management information;

[0067] An information marking unit, used to bind the associated management information to the city management model and mark the number of corresponding city hierarchy models in the city management model;

[0068] It is further explained that in multiple city management models, the city facility class corresponding to the city hierarchy model ranked first in each city management model is marked as associated management information. For example, the city hierarchy model corresponding to the city facility class based on the geographical environment is used as the main reference information, and one or more of the surrounding building class, road class, road facility class and urban mobile facility class that are associated with the city hierarchy model corresponding to the geographical environment are marked as the associated management information. The associated management information here is the city facility class corresponding to the city hierarchy model ranked first in the city management model. Here, the geographical environment class is used as the associated management information. Then, the associated management information is bound to the city management model and the number of corresponding city hierarchy models in the city management model is marked, so that the city hierarchy model can be clearly understood, which can facilitate subsequent personnel to process according to the multi-dimensional image and effectively assist in the planning and development of the city;

[0069] In one embodiment, the switching module includes:

[0070] A linkage unit, used to set linkage points between city hierarchical models in the city management model based on the associated management information to obtain a city management model chain, wherein the linkage points include linkage overlapping points and linkage parallel points;

[0071] A processing unit, used for performing model overlap or jump in the city management model chain based on linkage points;

[0072] It is further explained that by processing the multi-dimensional images of high-resolution remote sensing data, an urban hierarchical model that needs to be linked in a project can be obtained, and linkage points are set between the urban hierarchical models in the urban management model to obtain an urban management model chain, wherein the linkage points include linkage overlapping points and linkage parallel points. In addition, the linkage overlapping points are used to overlap multiple urban hierarchical models in the urban management model one by one, and perform step-by-step data analysis. The linkage parallel points are used to jump and display multiple urban hierarchical models in the urban management model one by one according to the sorting. They can be analyzed separately and have good operability. They can make it easier for personnel to understand the model of multi-dimensional image processing of urban high-resolution remote sensing data, have good data auxiliary sorting effect, and have good display effect.

[0073] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A multi-dimensional image processing system based on high-resolution remote sensing data, characterized in that: include: An acquisition module is used to acquire multi-dimensional remote sensing images of the city based on high-resolution remote sensing data, and to divide the remote sensing images based on city information to obtain multiple unit remote sensing images; A construction module, connected to the acquisition module, is used to perform feature enhancement on a plurality of unit remote sensing images to obtain a plurality of target remote sensing images, and to construct a city model based on the plurality of target remote sensing images; A stratification module, connected to the construction module, is used to stratify the city model based on preset conditions to obtain multiple city hierarchical models, obtain the association relationship between the city hierarchical models, and combine the city hierarchical models based on the association relationship to obtain multiple city management models; A marking module, connected to the layering module, is used to mark the associated management information corresponding to the city management model and bind the associated management information to the city management model; The switching module is connected with the marking module, and the city management model is linked based on the associated management information to obtain the city management model chain, and the model overlaps or jumps in the city management model chain based on the linkage point; The building blocks include: A setting unit, used to set a plurality of enhancement packages, wherein the enhancement packages include a database and enhancement parameters, and the database includes a three-dimensional model of an object and a corresponding object name; An enhancement unit is used to make a one-to-one correspondence between multiple unit remote sensing images and enhancement packages, perform image matching in the enhancement package based on object information in the unit remote sensing images to obtain a corresponding three-dimensional model of the object, obtain corresponding enhancement parameters based on the three-dimensional model of the object, and enhance the object features in the unit remote sensing images through the enhancement parameters to obtain multiple target remote sensing images; A construction unit, used for performing image filling on a plurality of target remote sensing images corresponding to the multi-dimensional remote sensing image to obtain a target multi-dimensional remote sensing image, and constructing a city model based on the target multi-dimensional remote sensing image; The setting unit comprises: A storage unit, used to obtain the shape of an object and a corresponding object name based on big data, build a three-dimensional model of the object based on the shape of the object, and store the three-dimensional model of the object and the corresponding object name in a database; A data marking unit, used for obtaining image parameters of the object shape as reinforcement parameters, marking the reinforcement parameters on the three-dimensional model of the object, and using the database and the reinforcement parameters as a reinforcement package; The hierarchical module includes: An information setting unit, used to set preset conditions, wherein the preset conditions include urban facility categories and object information corresponding to the urban facility categories; A stratification unit is used to match the object information in the city model with the preset conditions to obtain the corresponding city facility class, stratify the city model based on the city facility class to obtain multiple city hierarchical models, respectively mark the multiple city hierarchical models to obtain identity information, and bind the identity information with the city hierarchical model; A management unit, used to establish association relationships between multiple city hierarchical models based on identity information, and to sort and combine multiple city hierarchical models based on the association relationships to obtain multiple city management models; The information setting unit includes: A classification unit, used to set the city facility class, mark the object tags based on the city equipment class, obtain the general object information in the city based on big data, extract the tags of the general object information, correspond the tags of the general object information with the object tags of the city equipment class and classify them in the city equipment class; A management unit, used to use the urban facility class and the object information corresponding to the urban facility class as a preset condition; The acquisition module comprises: The limiting unit is used to define the urban management scope and obtain multi-dimensional remote sensing images within the urban management scope based on high-resolution remote sensing; An acquisition unit, used to acquire object information in a multi-dimensional remote sensing image, wherein the object information includes object features and locations of the object features, and to set segmentation conditions based on the object information; A division unit, used for dividing the multi-dimensional remote sensing image based on object information and division conditions to obtain a plurality of unit remote sensing images; The marking module comprises: An information association unit, used for marking the urban facility class corresponding to the first ranked urban hierarchy model in the urban management model as associated management information; An information marking unit, used to bind the associated management information to the city management model and mark the number of corresponding city hierarchy models in the city management model; The switching module comprises: A linkage unit, used to set linkage points between city hierarchical models in the city management model based on the associated management information to obtain a city management model chain, wherein the linkage points include linkage overlapping points and linkage parallel points; A processing unit is used to overlap or jump models in the urban management model chain based on linkage points.