CN111652915A - Remote sensing image overlapping area calculation method and device and electronic equipment - Google Patents
Remote sensing image overlapping area calculation method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for calculating an overlapping area of remote sensing images and electronic equipment, wherein the method comprises the following steps: acquiring shooting position information of the first remote sensing image and the second remote sensing image respectively to obtain central point position information of the first remote sensing image and the second remote sensing image; respectively acquiring shooting height information and shooting angle information of the first remote sensing image and the second remote sensing image to obtain scale information and angle information of the first remote sensing image and the second remote sensing image; and calculating the overlapping area of the first remote sensing image and the second remote sensing image according to the central point information, the scale information and the angle information. By implementing the method, the overlapping area based on the central point position information, the scale information and the angle information of the first remote sensing image and the second remote sensing image can be finally obtained, namely the overlapping area is the necessary matching area when the images of the first remote sensing image and the second remote sensing image are matched, so that the matching efficiency when the images are matched subsequently can be improved.
Description
Technical Field
The invention relates to the technical field of multimedia information processing, in particular to a method and a device for calculating an overlapping area of remote sensing images and electronic equipment.
Background
Unmanned aerial vehicle remote sensing is a novel remote sensing system that has emerged in recent years, because of having characteristics such as quick, flexibility, low cost, high image resolution, is becoming an important means of space data acquisition day by day, plays important effect in fields such as crops monitoring, homeland resources monitoring, calamity emergency, calamity evaluation, battlefield reconnaissance, conflagration monitoring. Because unmanned aerial vehicle remote sensing has wide application prospect, corresponding image processing technology has also gained extensive attention and attention, and unmanned aerial vehicle sequence image concatenation is one of them research focus in the complicated region of extensive topography (mountain area, hilly).
The existing image splicing mainly comprises two key links of image registration and image fusion. In the research of the image splicing technology at home and abroad, the main focus is on the core link of image registration. However, since the unmanned aerial vehicle is in a state of constantly flying and moving, even if the object in the unmanned aerial vehicle remote sensing images captured at two adjacent time points or the position area of the captured object is changed to a certain extent compared with the normal image, images corresponding to different objects in the two images or different position areas of the same object cannot be used for image matching, and therefore if image matching is performed based on the whole unmanned aerial vehicle remote sensing image, unnecessary computing resources are wasted due to the existence of images corresponding to different objects in the two images or different position areas of the same object, and matching efficiency is reduced.
Therefore, how to extract the overlapping region in the two remote sensing images so that the image matching work of the two remote sensing images can be performed with high efficiency becomes a problem to be solved urgently.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for calculating an overlapping area of remote sensing images, and an electronic device, so as to solve the problem that an existing image matching method is low in matching efficiency because a necessary matching area and a non-necessary matching area in remote sensing cannot be distinguished based on matching of a whole remote sensing image.
According to a first aspect, an embodiment of the present invention provides a method for calculating an overlap region of remote sensing images, including the following steps: acquiring shooting position information of the first remote sensing image and the second remote sensing image respectively to obtain central point position information of the first remote sensing image and the second remote sensing image; respectively acquiring shooting height information and shooting angle information of the first remote sensing image and the second remote sensing image to obtain scale information and angle information of the first remote sensing image and the second remote sensing image; and calculating the overlapping area of the first remote sensing image and the second remote sensing image according to the central point information, the scale information and the angle information.
The central point position information, the scale information and the angle information of the first remote sensing image and the second remote sensing image can be obtained through the obtained shooting position information of the first remote sensing image and the second remote sensing image, and the central point position information, the scale information and the angle information of the first remote sensing image and the second remote sensing image can be obtained through the obtained shooting height information and the shooting angle information of the first remote sensing image and the second remote sensing image, and the central point position information, the scale information and the angle information are obtained based on the shooting information, namely the information is the position, the scale and the angle information of the first remote sensing image and the second remote sensing image in a coordinate system of a ground object, so that an overlapped area which is finally obtained based on the central point position information, the scale information and the angle information, namely the overlapped area of the same ground object or a certain same position area of the ground object in the corresponding image areas of the first remote sensing image and the second remote sensing image, that is, the overlapping region is a necessary matching region for performing image matching of the first remote sensing image and the second remote sensing image, and therefore, by performing the method to obtain the overlapping region of the first remote sensing image and the second remote sensing image, matching efficiency in subsequent image matching can be improved.
With reference to the first aspect, in a first implementation manner of the first aspect, the method for calculating the overlap area further includes the following steps: and respectively extracting the minimum rectangular areas containing the overlapping areas in the first remote sensing image and the second remote sensing image to obtain a regular overlapping area in the first remote sensing image and a regular overlapping area in the second remote sensing image.
With reference to the first aspect or the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the first remote sensing image and the second remote sensing image are both remote sensing images of an unmanned aerial vehicle, and the shooting position information, the shooting height information, and the shooting angle information are all obtained from a POS system file of the unmanned aerial vehicle.
With reference to the first aspect or the first embodiment of the first aspect, in a third embodiment of the first aspect, the photographing angle information includes rotation angle information and pitch angle information.
According to a second aspect, an embodiment of the present invention provides an overlap area calculation apparatus for remote sensing images, including: the first acquisition module is used for respectively acquiring shooting position information of the first remote sensing image and the second remote sensing image to obtain central point position information of the first remote sensing image and the second remote sensing image; the second acquisition module is used for respectively acquiring shooting height information and shooting angle information of the first remote sensing image and the second remote sensing image to obtain scale information and angle information of the first remote sensing image and the second remote sensing image; and the overlapping area calculation module is used for calculating the overlapping area of the first remote sensing image and the second remote sensing image according to the central point information, the scale information and the angle information.
With reference to the second aspect, in a first embodiment of the second aspect, the apparatus for calculating an overlapping area of remote sensing images further includes: and the rule overlapping area calculation module is used for respectively extracting the minimum rectangular areas containing the overlapping areas in the first remote sensing image and the second remote sensing image to obtain the rule overlapping area in the first remote sensing image and the rule overlapping area in the second remote sensing image.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the method for calculating an overlapping area of remote sensing images according to the first aspect or any one of the embodiments of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the method for calculating an overlap area of remote sensing images according to the first aspect or any one of the embodiments of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for calculating an overlap region of remote sensing images according to an embodiment of the present invention;
fig. 2 is an exemplary diagram of a determination manner of a rule overlap area according to an embodiment of the present invention.
FIG. 3 is a schematic block diagram of an apparatus for calculating an overlap area of remote sensing images according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Example 1
Fig. 1 shows a flowchart of a method for calculating an overlap region of remote sensing images according to an embodiment of the present invention, and as shown in fig. 1, the method may include the following steps:
s101: and respectively acquiring shooting position information of the first remote sensing image and the second remote sensing image to obtain central point position information of the first remote sensing image and the second remote sensing image.
Here, the first remote sensing image and the second remote sensing image may be adjacent images in the same heading in the remote sensing image of the aircraft, or may also be images at corresponding positions in two adjacent headings, specifically, it is based on that an image area in which a certain same position area of the same ground object or one ground object is shot exists in the first remote sensing image and the second remote sensing image.
Here, the first remote sensing image and the second remote sensing image may be remote sensing images taken by any existing aircraft, and the embodiment of the present invention specifically describes the scheme by taking the aircraft as an unmanned aerial vehicle as an example, but it should be understood by those skilled in the art that the method in the embodiment of the present invention may be applied to the calculation of the overlapping area of remote sensing images taken by any other aircraft.
Here, if the first remote sensing image and the second remote sensing image are remote sensing images of the unmanned aerial vehicle, shooting position information of the first remote sensing image and the second remote sensing image may be acquired from a POS system file of the unmanned aerial vehicle. Specifically, the shooting position information of the first remote sensing image and the second remote sensing image refers to longitude and latitude information when the unmanned aerial vehicle respectively shoots the first remote sensing image and the second remote sensing image, that is, longitude and latitude information of center points of the first remote sensing image and the second remote sensing image, according to the longitude and latitude information, the distance and the relative position between the center points of the first remote sensing image and the second remote sensing image can be directly calculated, specifically, assuming that the longitude and latitude of the center point of the first remote sensing image are respectively long 1 and late 1, and the longitude and latitude of the center point of the second remote sensing image are respectively long 2 and late 2, the distance and the relative position between the center points of the first remote sensing image and the second remote sensing image can be calculated by the following formulas:
where θ is a longitude and latitude included angle between the central points of the first remote sensing image and the second remote sensing image, that is, when the first remote sensing image is taken as a reference image (the longitude direction of the first remote sensing image is the X-axis direction of the coordinate system, and the latitude direction is the Y-axis direction), an included angle of a connecting line between the central points of the first remote sensing image and the second remote sensing image with respect to the X-axis direction, D is a distance between the central points of the first remote sensing image and the second remote sensing image, and R is a radius of the earth.
S102: and respectively obtaining the shooting height information and the shooting angle information of the first remote sensing image and the second remote sensing image to obtain the scale information and the angle information of the first remote sensing image and the second remote sensing image.
Similarly, if the first remote sensing image and the second remote sensing image are remote sensing images of the unmanned aerial vehicle, the shooting height information and the shooting angle information can be acquired from a POS system file of the unmanned aerial vehicle.
Here, the photographing angle information includes rotation angle information for determining image angle information of the first remote sensing image and the second remote sensing image and pitch angle information for determining scale information of the first remote sensing image and the second remote sensing image.
Here, the shot height information of the first remote sensing image and the second remote sensing image is also used to determine scale information of the first remote sensing image and the second remote sensing image.
Here, if there is a difference in the shooting heights of the first remote sensing image and the second remote sensing image, it is necessary to unify the shooting heights of the first remote sensing image and the second remote sensing image, and specifically, taking the first remote sensing image as an example, it is necessary to convert the shooting height of the second remote sensing image into the shooting height of the first remote sensing image, that is, if the shooting height of the second remote sensing image is higher than the first remote sensing image, it is necessary to enlarge the second remote sensing image based on the difference in the shooting heights of the two remote sensing images, and if the shooting height of the second remote sensing image is lower than the first remote sensing image, it is necessary to reduce the second remote sensing image based on the difference in the shooting heights of the two remote sensing images, so that the shooting height of the second remote sensing image is converted into the shooting height of the first remote sensing image. Here, if there is a difference in the shooting pitch angle information of the first remote sensing image and the second remote sensing image, the shooting pitch angles of the first remote sensing image and the second remote sensing image also need to be unified, and the specific unification manner may be understood by referring to the specific unification manner of the shooting heights, and is not described herein again.
S103: and calculating the overlapping area of the first remote sensing image and the second remote sensing image according to the central point information, the scale information and the angle information.
In the embodiment of the invention, the central point position information of the first remote sensing image and the second remote sensing image can be obtained through the acquired shooting position information of the first remote sensing image and the second remote sensing image, the scale information and the angle information of the first remote sensing image and the second remote sensing image can be obtained through the acquired shooting height information and the shooting angle information of the first remote sensing image and the second remote sensing image, and the central point position information, the scale information and the angle information are all obtained based on the shooting information, namely the information is the position, the scale and the angle information of the first remote sensing image and the second remote sensing image in the coordinate system of the ground object, therefore, the finally obtained overlapping area based on the central point position information, the scale information and the angle information, namely the overlapping area of the same ground object or the corresponding image area of a certain same position area of the ground object in the first remote sensing image and the second remote sensing image, that is, the overlapping region is a necessary matching region for performing image matching of the first remote sensing image and the second remote sensing image, and therefore, by performing the method to obtain the overlapping region of the first remote sensing image and the second remote sensing image, matching efficiency in subsequent image matching can be improved.
As an optional implementation manner of this embodiment, since the overlapping region obtained in step S103 is more likely to be a non-rectangular region, and in the image processing, the most common and most easily processed image is a rectangular image, in order to normalize the overlapping region obtained in step S103, as shown in fig. 1, the method for calculating the overlapping region of the remote sensing images may further include the following steps:
s104: and respectively extracting the minimum rectangular areas containing the overlapping areas in the first remote sensing image and the second remote sensing image to obtain a regular overlapping area in the first remote sensing image and a regular overlapping area in the second remote sensing image.
Specifically, as shown in fig. 2, if the overlapping region of the first remote sensing image and the second remote sensing image obtained in step S103 is a region S, the matching region in the first remote sensing image is a rectangular region S1, and the matching region in the second remote sensing image is a rectangular region S2.
Example 2
Fig. 3 is a schematic block diagram of an apparatus for calculating an overlapping area of remote sensing images according to an embodiment of the present invention, which may be used to implement the method for calculating an overlapping area of remote sensing images according to embodiment 1 or any optional implementation manner thereof. As shown in fig. 3, the apparatus includes: a first acquisition module 10, a second acquisition module 20 and an overlap region calculation module 30. Wherein the content of the first and second substances,
the first obtaining module 10 is configured to obtain shooting position information of the first remote sensing image and shooting position information of the second remote sensing image, respectively, to obtain central point position information of the first remote sensing image and the central point position information of the second remote sensing image.
The second obtaining module 20 is configured to obtain shooting height information and shooting angle information of the first remote sensing image and the second remote sensing image, respectively, to obtain scale information and angle information of the first remote sensing image and the second remote sensing image.
The overlapping area calculating module 30 is configured to calculate an overlapping area of the first remote sensing image and the second remote sensing image according to the center point information, the scale information, and the angle information.
As an optional implementation manner of the embodiment of the present invention, as shown in fig. 3, the device for calculating an overlapping area of remote sensing images may further include: and the rule overlapping area calculation module 40 is used for respectively extracting the minimum rectangular areas containing the overlapping areas in the first remote sensing image and the second remote sensing image to obtain the rule overlapping area in the first remote sensing image and the rule overlapping area in the second remote sensing image.
An embodiment of the present invention further provides an electronic device, as shown in fig. 4, the electronic device may include a processor 41 and a memory 42, where the processor 41 and the memory 42 may be connected by a bus or in another manner, and fig. 4 takes the connection by the bus as an example.
The processor 41 may be a Central Processing Unit (CPU). The Processor 41 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 42, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method for calculating the overlap area of the remote sensing images in the embodiment of the present invention. The processor 41 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 42, namely, implements the overlap area calculation method of the remote sensing images in the above method embodiment.
The memory 42 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 41, and the like. Further, the memory 42 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 42 may optionally include memory located remotely from processor 41, which may be connected to processor 41 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 42 and when executed by the processor 41 perform a method of calculating an overlap region of remotely sensed images as in the embodiment of fig. 1-2.
The details of the electronic device may be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to fig. 2, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (8)
1. A method for calculating an overlapping area of remote sensing images is characterized by comprising the following steps:
respectively acquiring shooting position information of a first remote sensing image and shooting position information of a second remote sensing image to obtain central point position information of the first remote sensing image and the second remote sensing image;
respectively obtaining shooting height information and shooting angle information of the first remote sensing image and the second remote sensing image to obtain scale information and angle information of the first remote sensing image and the second remote sensing image;
and calculating an overlapping area of the first remote sensing image and the second remote sensing image according to the central point information, the scale information and the angle information.
2. The overlap region calculation method according to claim 1, further comprising the steps of:
and respectively extracting the minimum rectangular areas containing the overlapping areas in the first remote sensing image and the second remote sensing image to obtain a regular overlapping area in the first remote sensing image and a regular overlapping area in the second remote sensing image.
3. The method for calculating the overlapping area of remote sensing images according to claim 1 or 2, wherein the first remote sensing image and the second remote sensing image are remote sensing images of an unmanned aerial vehicle, and the shooting position information, the shooting height information and the shooting angle information are all obtained from a POS system file of the unmanned aerial vehicle.
4. The method for calculating an overlapping area of remote sensing images according to claim 1 or 2, wherein the photographing angle information includes rotation angle information and pitch angle information.
5. An overlap region calculation apparatus for remote sensing images, comprising:
the first acquisition module is used for respectively acquiring shooting position information of a first remote sensing image and shooting position information of a second remote sensing image to obtain central point position information of the first remote sensing image and the second remote sensing image;
the second acquisition module is used for respectively acquiring shooting height information and shooting angle information of the first remote sensing image and the second remote sensing image to obtain scale information and angle information of the first remote sensing image and the second remote sensing image;
and the overlapping area calculation module is used for calculating the overlapping area of the first remote sensing image and the second remote sensing image according to the central point information, the scale information and the angle information.
6. The remote sensing image overlap region calculation device according to claim 5, further comprising:
and the rule overlapping area calculation module is used for respectively extracting the minimum rectangular areas containing the overlapping areas in the first remote sensing image and the second remote sensing image to obtain the rule overlapping area in the first remote sensing image and the rule overlapping area in the second remote sensing image.
7. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of calculating an overlap area of remote sensing images according to any one of claims 1 to 4.
8. A computer-readable storage medium storing computer instructions for causing a computer to perform the method of calculating an overlap region of remote sensing images according to any one of claims 1 to 4.
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Application publication date: 20200911 |