CN109165598B - Method and device for field verification - Google Patents
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Abstract
The invention provides a method and a device for field verification, which relate to the technical field of field verification and comprise the steps of obtaining vector geographic information data of a traffic network in an area to be verified; calculating the distance between field check points for field check according to a preset field check point distance calculation formula and the vector geographic information data; determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance; and performing field verification on a reference land use type obtained by interpreting the remote sensing image which is based on each field verification point in the to-be-verified area in advance by using the actual land use type to obtain an interpretation accuracy, solving the technical problems that the interpretation accuracy of the remote sensing image interpretation is seriously influenced by the environment and is difficult to meet the actual requirement, and achieving the technical effect of improving the interpretation accuracy.
Description
Technical Field
The invention relates to the technical field of field verification, in particular to a field verification method and device.
Background
In the Chinese water and soil conservation bulletin, the dynamic monitoring results of water and soil loss in China are required to be used as the basis. The national water and soil loss dynamic monitoring project is based on remote sensing monitoring, and remote sensing images are used for carrying out land utilization, forest and grass vegetation coverage, forest edge lines and soil erosion area extraction. After the remote sensing image is obtained for correction and interpretation and before subsequent analysis is carried out, field verification and verification must be carried out on the land use pattern spot data obtained by interpreting the remote sensing image, and the subsequent analysis can be carried out after the accuracy is qualified through the field verification and verification.
However, the land utilization mode of the key prevention area in the Xinan river is different from that of other northwest and northeast areas, the areas with the most abundant land utilization types are concentrated in a traffic network and administrative villages and towns connected with the traffic network, and the land utilization types far away from the area are single and mostly forest lands, so that the interpretation accuracy rate of interpretation based on remote sensing images is seriously influenced by the environment and is difficult to meet the actual requirements.
Disclosure of Invention
In view of the above, the present invention provides a field verification method and device to solve the technical problem that the interpretation accuracy of the remote sensing image-based interpretation is seriously affected by the environment and is difficult to meet the actual requirement in the prior art.
In a first aspect, an embodiment of the present invention provides a field verification method, including:
acquiring vector geographic information data of a traffic road network in an area to be verified;
calculating the distance between field check points for field check according to a preset field check point distance calculation formula and the vector geographic information data;
determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance;
and performing field verification on a reference land utilization type obtained by interpreting the remote sensing image containing the field verification points of the area to be verified in advance by using the actual land utilization type to obtain the interpretation accuracy.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the determining, based on the distance between the external inspection points, an actual land utilization type of each external inspection point in the area to be verified includes:
randomly arranging central field check points along a traffic network according to the field check point intervals and randomly arranging peripheral field check points around the central field check points;
controlling the checking equipment to randomly shoot the aerial photos at a plurality of field checking points in the central field checking point and the peripheral field checking points, and receiving the shot aerial photo information;
and determining the land use type input by the user according to the navigation information as the actual land use type of the field check point in the area to be verified.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the randomly shooting the aerial photographs at a plurality of field check points in the central field check point and the peripheral field check points by the control check device, and receiving information of the aerial photographs, includes:
sending flight release signals of the check equipment at a plurality of field check points;
receiving the navigation information sent by the checking device, wherein the navigation information comprises: and (5) coordinates of the central point of the aerial photo.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the performing field verification and verification on a reference land utilization type obtained by performing field verification and interpreting in advance based on a remote sensing image including each field verification point in the area to be verified by using the actual land utilization type to obtain an interpretation accuracy includes:
comparing, for each field survey point, the actual land use type to the reference land use type;
if the actual land use type is the same as the reference land use type, determining that the interpretation is correct; otherwise, determining an interpretation error;
and calculating the proportion of the correct reference land use type in the plurality of field check points to obtain the correct interpretation rate.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the method further includes:
judging whether the interpretation correct rate is larger than a preset interpretation correct rate threshold value or not;
if the interpretation correct rate is larger than a preset interpretation correct rate threshold value, storing the reference land use type;
and if the interpretation correct rate is smaller than a preset interpretation correct rate threshold value, carrying out interpretation again based on the remote sensing image containing the field check points of the area to be verified.
In a second aspect, an embodiment of the present invention further provides a field verification apparatus, including:
the acquisition module is used for acquiring vector geographic information data of a traffic road network in an area to be verified;
the calculation module is used for calculating the field check point distance of field check according to a preset field check point distance calculation formula and the vector geographic information data;
the determining module is used for determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance;
and the verification module is used for carrying out field verification on a reference land utilization type obtained by interpreting the remote sensing image containing the field verification points of the area to be verified in advance by utilizing the actual land utilization type to obtain the interpretation accuracy.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the determining module includes:
the layout unit is used for randomly laying central field check points along a traffic network according to the field check point intervals and randomly laying peripheral field check points around the central field check points;
the control unit is used for controlling the checking equipment to randomly shoot the aerial photos at a plurality of field checking points in the central field checking point and the peripheral field checking points and receiving the shot aerial photo information;
and the first determining unit is used for determining the land utilization type input by the user according to the navigation information as the actual land utilization type of the field check point in the area to be verified.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the control unit includes:
the sending subunit is used for sending flight release signals of the check equipment at a plurality of field check points;
a receiving subunit, configured to receive the navigation information sent by the checking device, where the navigation information includes: and (5) coordinates of the central point of the aerial photo.
With reference to the second aspect, an embodiment of the present invention provides a third possible implementation manner of the second aspect, where the verification module includes:
a comparison unit for comparing the actual land use type with the reference land use type for each field check point;
a second determination unit for determining that the interpretation is correct if the actual land use type is the same as the reference land use type; otherwise, determining an interpretation error;
and the calculation unit is used for calculating the proportion of the correct reference land utilization type in the plurality of field check points to obtain the correct interpretation rate.
With reference to the second aspect, an embodiment of the present invention provides a fourth possible implementation manner of the second aspect, where the apparatus further includes:
the judging module is used for judging whether the interpretation correct rate is larger than a preset interpretation correct rate threshold value or not;
the storage module is used for storing the reference land utilization type if the interpretation correct rate is greater than a preset interpretation correct rate threshold value;
and the interpretation module is used for carrying out interpretation again based on the remote sensing image containing each field check point of the area to be verified if the interpretation correct rate is smaller than a preset interpretation correct rate threshold value.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention can firstly acquire the vector geographic information data of the traffic road network in the area to be verified; then, calculating the distance between field check points for field check according to a preset field check point distance calculation formula and the vector geographic information data; determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance; and finally, performing field verification on a reference land utilization type obtained by interpreting a remote sensing image which is based on each field verification point in the to-be-verified area in advance by using the actual land utilization type to obtain the interpretation accuracy.
The embodiment of the invention determines the distance between the field check points for field check according to a preset field check point distance calculation formula and the vector geographic information data, and arranges the field check points on the traffic network, so that the actual land utilization type of each field check point in the area to be verified can be easily obtained and is not influenced by the environment, therefore, the actual land utilization type is used for carrying out field check verification on the reference land utilization type obtained by interpreting the remote sensing image containing each field check point in the area to be verified in advance, the obtained interpretation accuracy is not influenced by the environment any more, and the actual requirements can be met.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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 flowchart of a field verification method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another field verification method according to an embodiment of the present invention;
FIG. 3 is a flow chart of another field verification method according to an embodiment of the present invention;
FIG. 4 is a flow chart of another field verification method according to an embodiment of the present invention;
fig. 5 is a structural diagram of a field verification apparatus according to an embodiment of the present invention.
Icon: 11-an acquisition module; 12-a calculation module; 13-a determination module; 14-authentication module.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent 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.
The land utilization mode of the key prevention area of the Xinan river is different from other northwest and northeast areas, the areas with the most abundant land utilization types are concentrated in a traffic network and administrative villages and towns connected with the traffic network, and the land utilization types far away from the areas are single and mostly forest lands, so that the interpretation accuracy rate of interpretation based on the remote sensing image is seriously influenced by the environment and is difficult to meet the actual requirement.
To facilitate understanding of the present embodiment, first, a detailed description is made of a field verification method disclosed in the present embodiment, as shown in fig. 1, including the following steps:
step S101, acquiring vector geographic information data of a traffic road network in an area to be verified;
in the embodiment of the present invention, the traffic network may refer to a road network formed by roads, and the vector geographic information data may include a total length of a road and a total number of land use patches.
Step S102, calculating the field check point distance of field check according to a preset field check point distance calculation formula and the vector geographic information data;
in the embodiment of the invention, in the field check interior work preparation stage, the distance between two field check points is determined in the interior work. The distance between the field check points is not a straight line distance, but two centers along the length of the traffic network. The preset calculation formula of the distance between the outdoor checking points is as follows:
the distance between field check points is equal to the total length of the road/(total land utilization pattern spots 0.5%)
For example, the total length of a highway in the Chunan county is 200km, 20000 map spots exist in the whole county, and the total length can be calculated according to a preset calculation formula of the distance between field check points: the distance between field check points in Chun-an county is 200/(20000 0.5%), 2/km, that is, one field check point is marked every 500 m.
Step S103, determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance;
in the embodiment of the invention, the land utilization types are divided according to the regional difference of land utilization, can reflect land use, properties and distribution rules thereof, and can be divided into cultivated land, forest land, grassland, construction land and the like. Starting from a certain field check point, driving along a road traffic network, determining each field check point according to the field check point distance, then enabling the unmanned aerial vehicle to fly around a flying starting point as a center at each field check point, randomly taking pictures of the aerial vehicle and landing, wherein the aerial vehicle is provided with an actual land utilization type.
And step S104, performing field check and verification on a reference land utilization type obtained by interpreting the remote sensing image containing the field check points of the area to be verified in advance by using the actual land utilization type to obtain the interpretation accuracy.
In the embodiment of the invention, the actual land use type is used as an analog object, whether the reference land use type obtained by interpreting the remote sensing image is correct or not is verified, if the reference land use type of a certain check point obtained by interpreting the remote sensing image is correct, the interpretation is correct, otherwise, the interpretation is failed, and the interpretation correct rate is the proportion of the number of check points which are correct in interpretation to the total number of the check points. For example, if the total number of check points is 400, the remote sensing image is interpreted correctly according to the reference land use type with 300 check points, and the interpretation accuracy is 75%.
In the process program, the original water conservancy receiving part issues the remote sensing image, the remote sensing image is interpreted, the check grid is laid, the field check point is selected, the field check is performed, the remote sensing data accuracy rate is interpreted and modified, the remote sensing image interpretation and the remote sensing data accuracy rate interpretation and modification are directly issued by the water conservancy receiving part and the water conservancy receiving part, the time mobility of the field check can be greatly improved, and the working process is more reasonable in time. On the basis of compressing the task cycle, the project completion progress is improved, and the project implementation process is more reasonable.
The embodiment of the invention determines the distance between the field check points for field check according to a preset field check point distance calculation formula and the vector geographic information data, and arranges the field check points on the traffic network, so that the actual land utilization type of each field check point in the area to be verified can be easily obtained and is not influenced by the environment, therefore, the actual land utilization type is used for carrying out field check verification on the reference land utilization type obtained by interpreting the remote sensing image containing each field check point in the area to be verified in advance, the obtained interpretation accuracy is not influenced by the environment any more, and the actual requirements can be met.
In another embodiment of the present invention, as shown in fig. 2, step S103 includes the following steps:
step S201, randomly arranging central field check points along a traffic network according to the field check point distance and randomly arranging peripheral field check points around the central field check point;
in the embodiment of the invention, the field check point layout is based on the diversity of the non-uniform distribution of the local land utilization types, the traffic network is taken as a main body and is distributed to the periphery in a diffusion mode, the central field check point is randomly distributed along the traffic network, the peripheral field check point is randomly distributed to the periphery in a large range by taking the central field check point as the center, and the distribution condition of the actual land utilization types is favorably acquired.
In practical application, the land utilization distribution of the water and soil loss key prevention area in the Xinan river is influenced by climate, economic structure and economic geographic characteristics, and the areas with the highest diversity distribution of land types are concentrated in administrative towns along the traffic and along the traffic, are in networked distribution and do not accord with the assumption that the land utilization types in the areas are uniformly distributed. Therefore, under the land utilization characteristics that local land utilization is mainly forest lands and grasslands, a large number of forest lands and grasslands appear in the sampling result of the traditional field checking method, the probability of extracting other land utilization types is low, the checking range cannot be guaranteed to effectively cover each land utilization type, and the defects exist in the aspect of checking the diversity of the land utilization types. Based on the assumption that the local land utilization is non-uniformly distributed instead of uniformly distributed, the coverage degree of the check points in the local land utilization type is superior to that of the original method, the randomness of field check is effectively improved, and meanwhile, the reliability of the check result is improved.
Step S202, controlling the checking equipment to randomly shoot the aerial photos at a plurality of field checking points in the central field checking point and the peripheral field checking points, and receiving the shot aerial photo information;
in the embodiment of the present invention, the verification device may refer to an unmanned aerial vehicle, and the aerial photograph information includes position information of the field verification point and a land utilization type of the field verification point.
Step S202, including the steps of:
sending flight release signals of the check equipment at a plurality of field check points;
in the embodiment of the invention, after receiving the flight release signal, the checking device starts a flight and photographing mode, takes the checking point as a starting point, randomly takes a preset number of aerial photos according to a set flight range with uniform specification at a plurality of field checking points in the central field checking point and the peripheral field checking points, exemplarily, the checking device always keeps a 100m below ultra-low altitude flight state and the lens direction always keeps vertically downward, photographs 50 or 100 aerial photos, and synchronously acquires the coordinates of the central point of the aerial photos when the aerial photos are photographed.
Receiving the navigation information sent by the checking device, wherein the navigation information comprises: and (5) coordinates of the central point of the aerial photo.
In the embodiment of the invention, the checking equipment is in communication connection with the server, the server receives the aerial photo information sent by the checking equipment, and the coordinate of the central point of the aerial photo can refer to the position information of the field checking point.
Step S203, determining the land use type input by the user according to the navigation information as the actual land use type of the field check point in the area to be verified.
In the embodiment of the invention, the coordinates of the center point of the aerial photo in the aerial photo and the aerial photo code are imported into the database, and the manually-interpreted land utilization type of the center point of the aerial photo, namely the actual land utilization type of the field check point, is synchronously input.
In another embodiment of the present invention, as shown in fig. 3, step S104 includes:
step S301, comparing the actual land use type with the reference land use type for each field check point;
in the embodiment of the invention, after the remote sensing image transmitted by the water conservancy department is interpreted, the interpretation result of each field check point, namely the reference land use type, is compared with the actual land use type of the field check point in the aerial photograph one by one.
Step S302, if the actual land utilization type is the same as the reference land utilization type, determining that the interpretation is correct; otherwise, determining an interpretation error;
step S303, calculating the proportion of the correct reference land use type in the plurality of field check points to obtain the correct interpretation rate.
In the embodiment of the invention, the interpretation accuracy is the proportion of the interpretation accurate reference land use type in all the reference land use types.
In yet another embodiment of the present invention, as shown in fig. 4, the method further comprises:
step S401, judging whether the interpretation correct rate is larger than a preset interpretation correct rate threshold value;
in the embodiment of the present invention, the preset interpretation correct rate threshold may be set to 90%, and the calculated interpretation correct rate is compared with the preset interpretation correct rate threshold to determine the size of the interpretation correct rate and the preset interpretation correct rate threshold.
And S402, if the interpretation accuracy is greater than a preset interpretation accuracy threshold value, storing the reference land use type.
In the embodiment of the invention, the preset interpretation accuracy threshold can be set to be 90%, if the interpretation accuracy is 95%, the interpretation accuracy is greater than the preset interpretation accuracy threshold, the reference land use type obtained by remote sensing image interpretation in the area can be determined to be basically correct, and the remote sensing image interpretation result correction and subsequent data analysis can be carried out after the reference land use type accords with the preset interpretation accuracy threshold.
And step S403, if the interpretation accuracy is smaller than a preset interpretation accuracy threshold value, re-interpreting the remote sensing image based on the field check points in the area to be verified.
In the embodiment of the present invention, if the preset interpretation accuracy threshold may be set to 90% and the interpretation accuracy is 25%, it indicates that the interpretation accuracy is smaller than the preset interpretation accuracy threshold, and it may be determined that the reference land use type obtained by interpreting the remote sensing image in the area is basically wrong, which indicates that a mistake occurs in the interpretation process, and it is necessary to re-interpret the remote sensing image of each field inspection point in the area to be verified.
In yet another embodiment of the present invention, as shown in fig. 5, the apparatus may include the following modules:
the acquisition module 11 is used for acquiring vector geographic information data of a traffic road network in an area to be verified;
the calculation module 12 is used for calculating the field check point distance of field check according to a preset field check point distance calculation formula and the vector geographic information data;
the determining module 13 is configured to determine an actual land utilization type of each field check point in the to-be-verified area based on the field check point distance;
and the verification module 14 is used for performing field verification on a reference land utilization type obtained by interpreting the remote sensing image containing the field verification points of the area to be verified in advance by using the actual land utilization type to obtain the interpretation accuracy.
In another embodiment of the present invention, the determining module 13 includes:
the layout unit is used for randomly laying central field check points along a traffic network according to the field check point intervals and randomly laying peripheral field check points around the central field check points;
the control unit is used for controlling the checking equipment to randomly shoot the aerial photos at a plurality of field checking points in the central field checking point and the peripheral field checking points and receiving the shot aerial photo information;
and the first determining unit is used for determining the land utilization type input by the user according to the navigation information as the actual land utilization type of the field check point in the area to be verified.
In another embodiment of the present invention, the control unit includes:
the sending subunit is used for sending flight release signals of the check equipment at a plurality of field check points;
a receiving subunit, configured to receive the navigation information sent by the checking device, where the navigation information includes: and (5) coordinates of the central point of the aerial photo.
In another embodiment of the present invention, the verification module 14 includes:
a comparison unit for comparing the actual land use type with the reference land use type for each field check point;
a second determination unit for determining that the interpretation is correct if the actual land use type is the same as the reference land use type; otherwise, determining an interpretation error;
and the calculation unit is used for calculating the proportion of the correct reference land utilization type in the plurality of field check points to obtain the correct interpretation rate.
In yet another embodiment of the present invention, the apparatus further comprises:
the judging module is used for judging whether the interpretation correct rate is larger than a preset interpretation correct rate threshold value or not;
and the storage module is used for storing the reference land use type if the interpretation correct rate is greater than a preset interpretation correct rate threshold value.
And the interpretation module is used for carrying out interpretation again based on the remote sensing image containing each field check point of the area to be verified if the interpretation correct rate is smaller than a preset interpretation correct rate threshold value.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer program product of the field verification method provided by the embodiment of the present invention includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A field verification method is characterized by comprising the following steps:
acquiring vector geographic information data of a traffic road network in an area to be verified; the traffic road network is a road network formed by roads; the vector geographic information data comprises total road length and total land utilization pattern spots;
calculating the distance between field check points for field check according to a preset field check point distance calculation formula and the vector geographic information data; the distance between the field check points is the length of two centers along the traffic road network; the preset outdoor checking point distance calculation formula is as follows: the distance between field check points is equal to the total length of the highway/(the total number of land utilization pattern spots is 0.5%);
determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance;
and performing field verification on a reference land utilization type obtained by interpreting the remote sensing image containing the field verification points of the area to be verified in advance by using the actual land utilization type to obtain the interpretation accuracy.
2. The field verification method of claim 1, wherein said determining an actual land use type of each field verification point in the area to be verified based on the field verification point distance comprises:
randomly arranging central field check points along a traffic network according to the field check point intervals and randomly arranging peripheral field check points around the central field check points;
controlling the checking equipment to randomly shoot the aerial photos at a plurality of field checking points in the central field checking point and the peripheral field checking points, and receiving the shot aerial photo information;
and determining the land use type input by the user according to the navigation information as the actual land use type of the field check point in the area to be verified.
3. The field verification method of claim 2, wherein the controlling and checking device randomly shoots the aerial photos at a plurality of field verification points in the central field verification point and the peripheral field verification points and receives the shot aerial photo information, and the method comprises:
sending flight release signals of the check equipment at a plurality of field check points;
receiving the navigation information sent by the checking device, wherein the navigation information comprises: and (5) coordinates of the central point of the aerial photo.
4. The field verification method according to claim 1, wherein the performing field verification on the reference land use type obtained by interpreting a remote sensing image containing the field verification points in the area to be verified in advance by using the actual land use type to obtain the interpretation accuracy comprises:
comparing, for each field survey point, the actual land use type to the reference land use type;
if the actual land use type is the same as the reference land use type, determining that the interpretation is correct; otherwise, determining an interpretation error;
and calculating the proportion of the correct reference land use type in the plurality of field check points to obtain the correct interpretation rate.
5. The field verification method of claim 1, wherein the method further comprises:
judging whether the interpretation correct rate is larger than a preset interpretation correct rate threshold value or not;
if the interpretation correct rate is larger than a preset interpretation correct rate threshold value, storing the reference land use type;
and if the interpretation correct rate is smaller than a preset interpretation correct rate threshold value, carrying out interpretation again based on the remote sensing image containing the field check points of the area to be verified.
6. A field verification device, comprising:
the acquisition module is used for acquiring vector geographic information data of a traffic road network in an area to be verified; the traffic road network is a road network formed by roads; the vector geographic information data comprises total road length and total land utilization pattern spots;
the calculation module is used for calculating the field check point distance of field check according to a preset field check point distance calculation formula and the vector geographic information data; the distance between the field check points is the length of two centers along the traffic road network; the preset outdoor checking point distance calculation formula is as follows: the distance between field check points is equal to the total length of the highway/(the total number of land utilization pattern spots is 0.5%);
the determining module is used for determining the actual land utilization type of each field check point in the area to be verified based on the field check point distance;
and the verification module is used for carrying out field verification on a reference land utilization type obtained by interpreting the remote sensing image containing the field verification points of the area to be verified in advance by utilizing the actual land utilization type to obtain the interpretation accuracy.
7. The field verification apparatus of claim 6, wherein the determining module comprises:
the layout unit is used for randomly laying central field check points along a traffic network according to the field check point intervals and randomly laying peripheral field check points around the central field check points;
the control unit is used for controlling the checking equipment to randomly shoot the aerial photos at a plurality of field checking points in the central field checking point and the peripheral field checking points and receiving the shot aerial photo information;
and the first determining unit is used for determining the land utilization type input by the user according to the navigation information as the actual land utilization type of the field check point in the area to be verified.
8. The field verification apparatus of claim 7, wherein the control unit comprises:
the sending subunit is used for sending flight release signals of the check equipment at a plurality of field check points;
a receiving subunit, configured to receive the navigation information sent by the checking device, where the navigation information includes: and (5) coordinates of the central point of the aerial photo.
9. The field verification device of claim 6, wherein the verification module comprises:
a comparison unit for comparing the actual land use type with the reference land use type for each field check point;
a second determination unit for determining that the interpretation is correct if the actual land use type is the same as the reference land use type; otherwise, determining an interpretation error;
and the calculation unit is used for calculating the proportion of the correct reference land utilization type in the plurality of field check points to obtain the correct interpretation rate.
10. The field audit verification device according to claim 6, wherein the device further includes:
the judging module is used for judging whether the interpretation correct rate is larger than a preset interpretation correct rate threshold value or not;
the storage module is used for storing the reference land utilization type if the interpretation correct rate is greater than a preset interpretation correct rate threshold value;
and the interpretation module is used for carrying out interpretation again based on the remote sensing image containing each field check point of the area to be verified if the interpretation correct rate is smaller than a preset interpretation correct rate threshold value.
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| CN112115817A (en) * | 2020-09-01 | 2020-12-22 | 国交空间信息技术（北京）有限公司 | Remote sensing image road track correctness checking method and device based on deep learning |
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