CN114494905A - Building identification and modeling method and device based on satellite remote sensing image - Google Patents
Building identification and modeling method and device based on satellite remote sensing image Download PDFInfo
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Abstract
The present disclosure provides a building identification and modeling method based on satellite remote sensing images, comprising: acquiring a satellite remote sensing image set of a target building, wherein the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building; identifying the target building, and correcting the corresponding satellite remote sensing image according to the shooting angle to generate a corrected image set; according to the correction image set, performing three-dimensional reconstruction on the target building to generate a three-dimensional model of the target building; and performing texture mapping on the surface of the three-dimensional model according to the image in the corrected image set to generate a texture model of the target building. By the building identification and modeling method based on the satellite remote sensing image, a three-dimensional model of the building can be generated according to the satellite remote sensing image, views with different azimuth angles can be displayed on the map query software, and the appearance of the building displayed on the map query software is consistent with the actual appearance.
Description
Technical Field
Embodiments of the present disclosure relate generally to the field of satellite image processing technology, and more particularly, to a method and apparatus for building identification and modeling based on satellite remote sensing images.
Background
In the existing map query software, only an orthographic projection view of a building can be displayed generally, and part of the software can also display part of a side view of the building, but without exception, a three-dimensional model of the building cannot be displayed, so that the appearance of the building displayed on the map query software has a large error with the actual appearance of the building, which is not beneficial to correct guidance, and further the popularization and use of the map query software are influenced, and the user experience is influenced.
The prior art methods for generating a three-dimensional model of a building include the following steps: conventional measurement methods and lidar methods. However, these methods have different problems in generating the building three-dimensional model:
firstly, when a traditional measurement method is used for generating a three-dimensional building model, a large amount of manpower and material resources are needed, the data acquisition time is long, and the updating period is long.
When the laser radar method is used for generating the building three-dimensional model, elevation data with high precision can be obtained, but the elevation data lack ground object information, only elevation values can be acquired, and the data type is too single.
Disclosure of Invention
According to the embodiment of the disclosure, a building identification and modeling method based on satellite remote sensing images is provided, a three-dimensional model of a building can be generated according to the satellite remote sensing images, so that views of a target building with different azimuth angles can be displayed on map query software, and the appearance of the building displayed on the map query software is consistent with the actual appearance of the building.
In a first aspect of the present disclosure, there is provided a method for identifying and modeling buildings based on satellite remote sensing images, comprising:
acquiring a satellite remote sensing image set of a target building, wherein the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building;
identifying the target building, and correcting the corresponding satellite remote sensing image according to the shooting angle to generate a corrected image set;
according to the correction image set, performing three-dimensional reconstruction on the target building to generate a three-dimensional model of the target building;
and performing texture mapping on the surface of the three-dimensional model according to the image in the corrected image set to generate a texture model of the target building.
In some embodiments, the correcting pixels of the corresponding satellite remote sensing images according to shooting angles to generate a corrected image set includes:
and stretching pixels on the corresponding surface according to the shooting angle and the sine value of the included angle of the corresponding surface of the target building to generate a corrected satellite remote sensing image, and summarizing the corrected satellite remote sensing image to generate a corrected image set.
In some embodiments, the shooting angle is determined by:
establishing a space rectangular coordinate system by taking the target building as an origin;
and converting the coordinates of the shooting position into a spatial rectangular coordinate system with the target building as an origin according to the shooting position corresponding to the satellite remote sensing image and the coordinates of the target building in a geographic coordinate system, and determining a shooting angle.
In some embodiments, the determining a shooting angle by converting the coordinate of the shooting position into a spatial rectangular coordinate system with the target building as an origin according to the shooting position corresponding to the satellite remote sensing image and the coordinate of the target building in a geographic coordinate system includes:
determining a first position vector of a shooting position corresponding to a satellite remote sensing image and a second position vector corresponding to a coordinate of the target building under a geographic coordinate system;
performing difference on the first position vector and the second position vector to obtain a translation vector;
and determining a shooting angle according to the translation vector and the second position vector.
In some embodiments, the reconstructing the target building in three dimensions from the corrected image set to generate a three-dimensional model of the target building includes:
determining a one-sided coordinate according to coordinates of points on the target building appearing on the plurality of corrected satellite remote sensing images to generate a one-sided set;
circularly adding a new neighborhood of a facet into the facet set, and updating the facet set until the surface of the target building is completely covered;
and removing repeated faces in the updated face set to generate the three-dimensional model of the target building.
In some embodiments, said texture mapping the surface of the three-dimensional model from the image in the corrected image set comprises:
and performing texture mapping on the surface corresponding to the three-dimensional model by using the image area corresponding to the surface of the target building in the corrected image set.
In some embodiments, further comprising:
in response to the absence of image areas corresponding to one or more surfaces of the target building in the corrected image set, texture mapping a surface corresponding to the three-dimensional model with image areas of adjacent or opposite surfaces of the surface of the target building.
In a second aspect of the present disclosure, there is provided an apparatus for identifying and modeling a building based on a satellite remote sensing image, comprising:
the system comprises a satellite remote sensing image set acquisition module, a satellite remote sensing image acquisition module and a satellite remote sensing image acquisition module, wherein the satellite remote sensing image set acquisition module is used for acquiring a satellite remote sensing image set of a target building, and the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building;
the correction image set generation module is used for identifying the target building, correcting the corresponding satellite remote sensing image according to the shooting angle and generating a correction image set;
the three-dimensional model generation module is used for carrying out three-dimensional reconstruction on the target building according to the correction image set to generate a three-dimensional model of the target building;
and the texture mapping module is used for performing texture mapping on the surface of the three-dimensional model according to the image in the corrected image set to generate the texture model of the target building.
In a third aspect of the present disclosure, an electronic device is provided, comprising a memory having stored thereon a computer program and a processor implementing the method as described above when executing the program.
In a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method as set forth above. A
By the building identification and modeling method based on the satellite remote sensing image, the three-dimensional model of the building can be generated according to the satellite remote sensing image, so that views of different azimuth angles of a target building can be displayed on the map query software, and the appearance of the building displayed on the map query software is consistent with the actual appearance of the building.
The statements made in this summary are not intended to limit key or critical features of the embodiments of the disclosure, nor are they intended to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
fig. 1 shows a flowchart of a building identification and modeling method based on satellite remote sensing images according to a first embodiment of the disclosure;
fig. 2 is a schematic structural diagram of a building identification and modeling device based on satellite remote sensing images according to a second embodiment of the disclosure;
fig. 3 shows a schematic structural diagram of a building modeling apparatus based on satellite remote sensing images according to a third embodiment of the disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The technical solution of the present disclosure is explained below with reference to specific examples. Fig. 1 is a flowchart of a building identification and modeling method based on a satellite remote sensing image according to a first embodiment of the present disclosure. As can be seen from fig. 1, the method for identifying and modeling buildings based on satellite remote sensing images of the present embodiment may include the following steps:
s101: acquiring a satellite remote sensing image set of a target building, wherein the satellite remote sensing image set comprises satellite remote sensing images which are shot from one or more angles and comprise the target building.
The method of the embodiment can be applied to map query software. Specifically, when the user inputs a query target in the map query software, a plan view and a perspective view of the query target (or a building around the query target) may be displayed in the map query software, and when the perspective view of the query target (or a building around the query target) is displayed, a corresponding texture may be simultaneously displayed on the displayed perspective view. And the user can display the view of each angle of the query target or the surrounding buildings on the display interface of the map query software through the double-finger pressing and rotating operation, so that the query target can be better confirmed through the appearance of the query target or the surrounding buildings, or the surrounding buildings can be confirmed, and then the query target can be confirmed.
Therefore, it is necessary to generate a three-dimensional model of a building in advance, and attach images corresponding to the surface of the building to different sides of the generated three-dimensional model so that the appearance of the generated three-dimensional model matches the actual appearance of the building, thereby improving the recognition degree of the building.
When generating a three-dimensional model of a building, aiming at a target building, firstly, a satellite remote sensing image set of the target building needs to be acquired, wherein the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building.
Specifically, the set of satellite remote sensing images of the target building can be acquired from one angle or a plurality of angles through satellites in different flight orbits, or the target building can be shot from an unnecessary angle through a sensor array on the satellite in the same orbit to acquire the set of satellite remote sensing images of the target building.
S102: and identifying the target building, and correcting the corresponding satellite remote sensing image according to the shooting angle to generate a corrected image set.
In this embodiment, after the satellite remote sensing image set of the target building is generated, the target building may be identified from the satellite remote sensing images of the satellite remote sensing image set of the target building, and then the corresponding satellite remote sensing image is corrected according to the shooting angle corresponding to each satellite remote sensing image, so as to generate a corrected image set.
When the target building is identified, the target building can be identified and extracted from the satellite remote sensing image by utilizing an edge detection algorithm. After the target building is identified, the pixels on the corresponding surface of the target building can be stretched according to the shooting angle and the sine value of the included angle of the corresponding surface to generate a corrected satellite remote sensing image, and the corrected satellite remote sensing image is summarized to generate a corrected image set. Since the satellite remote sensing image is a forward projection view and the image shot by the satellite is inclined, the shot satellite remote sensing image compresses the side surface of the building. Therefore, it is necessary to stretch the pixels on the corresponding face of the target building.
As an optional implementation manner of the embodiment of the present disclosure, pixels on a corresponding surface of a target building are stretched, and a spatial rectangular coordinate system may be established with the target building as an origin;
and converting the coordinates of the shooting position into a spatial rectangular coordinate system with the target building as an origin according to the shooting position corresponding to the satellite remote sensing image and the coordinates of the target building in a geographic coordinate system, and determining a shooting angle. After the shooting angle is determined, the sine value of the included angle between the shooting angle and the corresponding surface of the target building can be further determined, and then the corresponding surface of the target building is stretched, namely the number of pixels of the corresponding surface of the target building is expanded to be 1/sin alpha times of the original number in the vertical direction, wherein alpha is the included angle between the shooting angle and the corresponding surface of the target building.
Converting the coordinate of the shooting position into a spatial rectangular coordinate system with the target building as an origin according to the shooting position corresponding to the satellite remote sensing image and the coordinate of the target building under a geographic coordinate system, and determining a shooting angle, wherein the method comprises the following steps: determining a first position vector of a shooting position corresponding to a satellite remote sensing image and a second position vector corresponding to a coordinate of the target building under a geographic coordinate system; performing difference on the first position vector and the second position vector to obtain a translation vector; and determining a shooting angle according to the translation vector and the second position vector.
S103: and performing three-dimensional reconstruction on the target building according to the correction image set to generate a three-dimensional model of the target building.
Specifically, a one-plane coordinate may be determined according to coordinates of points on the target building appearing on the plurality of corrected satellite remote sensing images, and a one-plane set may be generated; circularly adding a new neighborhood of a facet into the facet set, and updating the facet set until the surface of the target building is completely covered;
and removing repeated faces in the updated face set to generate the three-dimensional model of the target building.
Specifically, for one image I, for a point f on I, a point f ' corresponding to the point f ' on the other image can be found, that is, a point pair (f, f ') exists, and three-dimensional position information of the point pair can be obtained. Therefore, the three-dimensional position information of the point is directly assigned to c (p), and n (p) and r (p) are assigned as:
R(P)＝I
wherein C (p) is a patch, and n (p) is a normal vector of patch C (p).
And circularly adding a new neighborhood to the existing patch set until the scene is completely covered by all visible faces.
Thus, if a patch is in consecutive cells C (I, j) and C (I ', j') of image I and the normal vectors are similar, they can be considered neighbors, satisfying the formula:
|(c(p)-c(p′))*n(p)|+|(c(p)-c(p′))*n(p′)|＜2ρ2
where ρ 2 and ρ 1 are similar and are determined by the c (p) depth of the image pixel in the corresponding r (p). After the condition is determined, firstly initializing a visible image sequence R (p); and finally, carrying out constraint updating according to the optical consistency principle. If the updated value still meets | T (p) > y |, the generation is successful, p' is classified into the geometric Q, and Q1 and Qf are updated; otherwise, the previous work is repeated.
In order to find and remove the outer points appearing in the diffusion step in time, the surface patches need to be filtered after the diffusion is finished, and the surface patches with weak photometric consistency and geometric consistency are removed. Three filters are typically used to reject erroneous reconstructed patches.
And a visible consistency constraint, namely, setting U as a set of patches P 'which are inconsistent with the visible information of the current patch P, namely, P is not adjacent to P' and is stored in the same image block in a certain visible image of P. If p is in accordance with the following inequality, it is regarded as an abnormal patch to be filtered.
In some embodiments, a more stringent visible consistency constraint, for each patch p, the number of images visible in r (p) is calculated, and if the number is less than y, the patch p is removed as an outlier.
In some embodiments, for each patch, r (p) patches in all cells where p is located and adjacent cells in the image are searched, and if the number of patches is less than one fourth of the number of patches in all 8 areas around the patch p, the patch p is removed as an abnormal patch r (p), so as to generate the three-dimensional model of the target building.
S104: and performing texture mapping on the surface of the three-dimensional model according to the image in the corrected image set to generate a texture model of the target building.
After the three-dimensional model of the target building is generated, the image area corresponding to the surface of the target building in the corrected image set may be further utilized to perform texture mapping on the surface corresponding to the three-dimensional model.
In some embodiments, if there is no image area corresponding to one or more surfaces of the target building in the corrected image set, texture mapping is performed on the surface corresponding to the three-dimensional model using the image areas of the adjacent surface or the opposite surface of the target building.
According to the building identification and modeling method based on the satellite remote sensing image, the three-dimensional model of the building can be generated according to the satellite remote sensing image, so that views of different azimuth angles of a target building can be displayed on map query software, and the appearance of the building displayed on the map query software is consistent with the actual appearance of the building.
It is noted that while for simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently. Further, those skilled in the art should also appreciate that the embodiments described in this specification are all alternative embodiments and that the acts and modules involved are not necessarily essential to the disclosure.
The above is a description of embodiments of the method, and the embodiments of the apparatus are further described below.
Fig. 2 is a schematic structural diagram of a building identification and modeling apparatus based on satellite remote sensing images according to a second embodiment of the present disclosure. The building identification and modeling device based on the satellite remote sensing image comprises:
the satellite remote sensing image set acquisition module 201 is used for acquiring a satellite remote sensing image set of a target building, wherein the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building.
And the corrected image set generating module 202 is configured to identify the target building, correct the corresponding satellite remote sensing image according to the shooting angle, and generate a corrected image set.
And a three-dimensional model generating module 203, configured to perform three-dimensional reconstruction on the target building according to the corrected image set, and generate a three-dimensional model of the target building.
And a texture mapping module 204, configured to perform texture mapping on the surface of the three-dimensional model according to the image in the corrected image set, so as to generate a texture model of the target building.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described module may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
FIG. 3 shows a schematic block diagram of an electronic device 300 that may be used to implement embodiments of the present disclosure. As shown, device 300 includes a Central Processing Unit (CPU)301 that may perform various appropriate actions and processes in accordance with computer program instructions stored in a Read Only Memory (ROM)302 or loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the device 300 can also be stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, or the like; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processing unit 301, which tangibly embodies a machine-readable medium, such as the storage unit 308, performs the various methods and processes described above. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 300 via ROM 302 and/or communication unit 309. When the computer program is loaded into the RAM 703 and executed by the CPU 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the CPU 301 may be configured to perform the above-described method in any other suitable manner (e.g., by way of firmware).
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a load programmable logic device (CPLD), and the like.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (10)
1. A building identification and modeling method based on satellite remote sensing images is characterized by comprising the following steps:
acquiring a satellite remote sensing image set of a target building, wherein the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building;
identifying the target building, and correcting the corresponding satellite remote sensing image according to the shooting angle to generate a corrected image set;
according to the correction image set, performing three-dimensional reconstruction on the target building to generate a three-dimensional model of the target building;
and performing texture mapping on the surface of the three-dimensional model according to the image in the corrected image set to generate a texture model of the target building.
2. The building identification and modeling method according to claim 1, wherein said correcting pixels of the corresponding satellite remote sensing image according to the shooting angle to generate a corrected image set comprises:
and stretching pixels on the corresponding surface according to the shooting angle and the sine value of the included angle of the corresponding surface of the target building to generate a corrected satellite remote sensing image, and summarizing the corrected satellite remote sensing image to generate a corrected image set.
3. The building identification and modeling method of claim 2, wherein said shooting angle is determined by:
establishing a space rectangular coordinate system by taking the target building as an origin;
and converting the coordinates of the shooting position into a spatial rectangular coordinate system with the target building as an origin according to the shooting position corresponding to the satellite remote sensing image and the coordinates of the target building in a geographic coordinate system, and determining a shooting angle.
4. The building identification and modeling method according to claim 3, wherein the step of converting the coordinates of the shooting position into a spatial rectangular coordinate system with the target building as an origin according to the shooting position corresponding to the satellite remote sensing image and the coordinates of the target building in a geographic coordinate system to determine the shooting angle comprises the steps of:
determining a first position vector of a shooting position corresponding to a satellite remote sensing image and a second position vector corresponding to a coordinate of the target building under a geographic coordinate system;
performing difference on the first position vector and the second position vector to obtain a translation vector;
and determining a shooting angle according to the translation vector and the second position vector.
5. The building identification and modeling method of claim 4, wherein said three-dimensional reconstruction of said target building from said corrected image set to generate a three-dimensional model of said target building comprises:
determining a one-sided coordinate according to coordinates of points on the target building appearing on the plurality of corrected satellite remote sensing images to generate a one-sided set;
circularly adding a new neighborhood of a facet into the facet set, and updating the facet set until the surface of the target building is completely covered;
and removing repeated faces in the updated face set to generate the three-dimensional model of the target building.
6. The building identification and modeling method of claim 5, wherein said texture mapping the surface of said three-dimensional model from the images in said corrected image set comprises:
and performing texture mapping on the surface corresponding to the three-dimensional model by using the image area corresponding to the surface of the target building in the corrected image set.
7. The building identification and modeling method of claim 6, further comprising:
in response to the absence of image areas corresponding to one or more surfaces of the target building in the corrected image set, texture mapping a surface corresponding to the three-dimensional model with image areas of adjacent or opposite surfaces of the surface of the target building.
8. An apparatus for identifying and modeling buildings based on satellite remote sensing images, comprising:
the system comprises a satellite remote sensing image set acquisition module, a satellite remote sensing image acquisition module and a satellite remote sensing image acquisition module, wherein the satellite remote sensing image set acquisition module is used for acquiring a satellite remote sensing image set of a target building, and the satellite remote sensing image set comprises satellite remote sensing images shot from one or more angles and including the target building;
the correction image set generation module is used for identifying the target building, correcting the corresponding satellite remote sensing image according to the shooting angle and generating a correction image set;
the three-dimensional model generation module is used for carrying out three-dimensional reconstruction on the target building according to the correction image set to generate a three-dimensional model of the target building;
and the texture mapping module is used for performing texture mapping on the surface of the three-dimensional model according to the image in the corrected image set to generate the texture model of the target building.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the program, implements the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115077494A (en) * | 2022-06-09 | 2022-09-20 | 腾达建设集团股份有限公司 | Three-dimensional model correction method, device, equipment, medium and system |
| CN115620169A (en) * | 2022-12-15 | 2023-01-17 | 北京数慧时空信息技术有限公司 | Building main angle correction method based on regional consistency |
| CN116485586A (en) * | 2023-06-26 | 2023-07-25 | 厦门泛卓信息科技有限公司 | Intelligent building management method and system based on comprehensive digital platform |
-
2022
- 2022-01-26 CN CN202210092933.2A patent/CN114494905A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115077494A (en) * | 2022-06-09 | 2022-09-20 | 腾达建设集团股份有限公司 | Three-dimensional model correction method, device, equipment, medium and system |
| CN115620169A (en) * | 2022-12-15 | 2023-01-17 | 北京数慧时空信息技术有限公司 | Building main angle correction method based on regional consistency |
| CN116485586A (en) * | 2023-06-26 | 2023-07-25 | 厦门泛卓信息科技有限公司 | Intelligent building management method and system based on comprehensive digital platform |
| CN116485586B (en) * | 2023-06-26 | 2023-12-26 | 厦门泛卓信息科技有限公司 | Intelligent building management method and system based on comprehensive digital platform |
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