A one-to-one evaluation method and device for satellite lightning imager detection performance

Abstract

The present invention discloses a one-to-one evaluation method and device for the detection performance of a satellite lightning imager. The method comprises: clustering the 'Group' data of the lightning imager into 'Flash' data, and clustering the full-flash positioning data into full-flash lightning and full-flash event groups; matching the 'Group' data with the full-flash event group based on a first spatiotemporal matching standard, and determining the systematic error according to the matching result; after removing the systematic error, obtaining a second spatiotemporal matching standard; matching the 'Group' data with the full-flash event group again based on the second spatiotemporal matching standard, and making a one-to-one correspondence between the 'Flash' data and the full-flash lightning at the lightning level according to the matching result; making a one-to-one correspondence between the 'Group' data and the most recent full-flash event group at the group level within a preset time interval according to the matching result between the 'Flash' data and the full-flash lightning; and obtaining the relative detection efficiency and / or relative detection accuracy of the lightning imager based on the one-to-one correspondence results at different levels.

Description

Technical Field

[0001] The present invention relates to the field of lightning imagers, and in particular to a one-to-one evaluation method and device for the detection performance of a satellite lightning imager. Background Art

[0002] Lightning detection technology is mainly divided into space-based and ground-based detection. Ground-based detection mainly achieves large-scale lightning detection through network detection, while space-based detection can achieve large-scale lightning detection through a single device.

[0003] With the development of technology, space-based lightning detection has evolved from being carried by low-orbit satellites to being carried by geostationary orbit satellites. The lightning location imager carried on the Fengyun-4A geostationary satellite is the first lightning imager independently developed by China, and its performance evaluation has become an important research direction in its data application stage.

[0004] The current performance evaluation method for lightning imagers is mainly to match the ground-to-ground lightning return stroke data with the lightning imager data, but it is impossible to achieve a one-to-one correspondence between the full-flash lightning data and the lightning imager product data, which makes it difficult to further improve the understanding of the detection performance of lightning imagers. Summary of the invention

[0005] The present invention provides a one-to-one evaluation method and device for the detection performance of a satellite lightning imager, which solves the problem of one-to-one accurate correspondence between full-flash lightning data and lightning imager product data.

[0006] A one-to-one evaluation method for satellite lightning imager detection performance, including:

[0007] Clustering the 'Group' data of the lightning imager into 'Flash' data, and clustering the full-flash location data into full-flash lightning and full-flash event groups;

[0008] Matching the 'Group' data with the total flash event group based on a first spatiotemporal matching standard, and determining a systematic error according to the matching result;

[0009] After removing the systematic error, a second spatiotemporal matching standard is obtained;

[0010] Matching the 'Group' data with the full flash event group again based on the second spatiotemporal matching standard, and making a one-to-one correspondence between the 'Flash' data and the full flash lightning at the lightning level according to the matching result;

[0011] According to the matching results of 'Flash' data and full flash lightning, the 'Group' data is matched one-to-one with the most recent full flash event group at the group level within the preset time interval;

[0012] The relative detection efficiency and / or relative detection accuracy of the lightning imager is obtained based on the one-to-one correspondence results at different levels.

[0013] In one embodiment of the present invention, clustering the 'Group' data of the lightning imager into 'Flash' data, and clustering the full-flash location data into full-flash lightning and full-flash event groups, specifically includes: clustering the 'Group' data of the lightning imager into 'Flash' data; wherein the time and position of the 'Flash' data are respectively the average time and centroid position of all the 'Groups' included therein; dividing the discharge events corresponding to the full-flash location data into lightning events according to space and time; the occurrence time of lightning is defined as the average time of all the discharge events included therein, and the position is the centroid of the convex hull of all the discharge events included therein; performing time clustering on the discharge events in the divided lightning events to obtain a full-flash event group; the time of the full-flash event group is defined as the average time of all the discharge events included therein, and the position is the centroid of the convex hull of all the discharge events included therein.

[0014] In one embodiment of the present invention, the 'Group' data and the total flash event group are matched based on a first spatiotemporal matching standard, a systematic error is determined according to the matching result, and after removing the systematic error, a second spatiotemporal matching standard is obtained, specifically including: matching the 'Group' data and the total flash event group based on the first spatiotemporal matching standard; subtracting the successfully matched 'Group' data from the corresponding data of the total flash event group to obtain the time error and position error between the corresponding 'Group' and the total flash event group, and using the time error and position error as the systematic error of the lightning imager observation data; after eliminating the systematic error, calculating the probability distribution of the time error and the position error, and using the time and position of the area with a probability greater than a preset threshold as the second spatiotemporal matching standard.

[0015] In one embodiment of the present invention, the 'Group' data and the full flash event group are matched again based on the second spatiotemporal matching standard, and the 'Flash' data and the full flash lightning are matched one-to-one at the lightning level according to the matching result, specifically including: matching the 'Group' data and the full flash event group again based on the second spatiotemporal matching standard; if a 'Group' data and a full flash event group are matched successfully, then the corresponding lightning imager 'Flash' data is indexed through the 'Group' data, and the corresponding full flash lightning is indexed through the full flash event group, and the indexed lightning imager 'Flash' data is matched with the full flash lightning, so as to obtain a one-to-one correspondence result between the 'Flash' data and the full flash lightning at the lightning level; wherein, one 'Flash' data is only allowed to match one full flash lightning, and if there are multiple correspondences between the two, the lightning with the smallest time difference between the two is matched.

[0016] In an embodiment of the present invention, according to the matching result of 'Flash' data and full flash lightning, the 'Group' data is matched with the full flash event group with the closest time at the group level within a preset time interval, specifically including: for each matched pair of 'Flash' data and full flash lightning, the time difference between the full flash lightning and the 'Flash' data is obtained, and the time difference is added to each 'Group' data in the 'Flash' data; each 'Group' data to which the time difference is added is matched with the full flash event group with the closest time within a preset time interval, so as to obtain a one-to-one correspondence result between the 'Group' data and the full flash event group at the group level.

[0017] In one embodiment of the present invention, for each matched pair of 'Flash' data and full flash lightning, obtaining the time difference between the full flash lightning and the 'Flash' data specifically includes: in each matched pair of 'Flash' data and full flash lightning, obtaining the first time difference between any two 'Group' data in the 'Flash' data; obtaining the second time difference between any two full flash event groups in the full flash lightning; determining the two closest first time differences and second time differences, and determining the corresponding 'Group' data pair and full flash event group pair based on the closest first time differences and second time differences; obtaining the first time of the 'Group' data with an earlier time in the 'Group' data pair, and obtaining the second time of the full flash event group with an earlier time in the full flash event group pair; determining the third time difference between the first time and the second time; and using the third time difference as the time difference between the full flash lightning and the 'Flash' data.

[0018] In one embodiment of the present invention, the relative detection efficiency and / or relative detection accuracy of the lightning imager is obtained based on the one-to-one correspondence results of different levels, specifically including: calculating the relative detection efficiency of the lightning imager at different levels through Bayesian theory; comparing the time and position between different total flashes or total flash event groups, and determining the time accuracy and position accuracy of the lightning imager's 'Flash' data and 'Group' data according to the difference in the compared time and position.

[0019] A one-to-one evaluation device for satellite lightning imager detection performance, comprising:

[0020] The flash classification module is used to cluster the 'Group' data of the lightning imager into 'Flash' data, and cluster the full-flash location data into full-flash lightning and full-flash event groups;

[0021] A time-space matching standard acquisition module, used to match the 'Group' data and the full flash event group based on a first time-space matching standard, determine the systematic error according to the matching result; after removing the systematic error, obtain a second time-space matching standard;

[0022] A lightning level one-to-one correspondence module, used to match the 'Group' data with the full flash event group again based on the second spatiotemporal matching standard, and to make a one-to-one correspondence between the 'Flash' data and the full flash lightning at the lightning level according to the matching result;

[0023] A group-level one-to-one correspondence module is used to make a one-to-one correspondence between the 'Group' data and the most recent full-flash event group at the group level within a preset time interval according to the matching results of the 'Flash' data and the full-flash lightning;

[0024] The detection efficiency / accuracy calculation module is used to obtain the relative detection efficiency and / or relative detection accuracy of the lightning imager based on the one-to-one correspondence results at different levels.

[0025] A one-to-one evaluation kit for satellite lightning imager detection performance, including:

[0026] at least one processor; and,

[0027] A memory connected to the at least one processor via a bus; wherein,

[0028] The memory stores instructions executable by the at least one processor, and the instructions are executed to implement the method described in any one of the above embodiments.

[0029] A non-volatile storage medium stores computer executable instructions, wherein the computer executable instructions are executed by a processor to implement the method described in any one of the above embodiments.

[0030] The present invention provides a one-to-one evaluation method and device for satellite lightning imager detection performance, which at least includes the following beneficial effects: through the one-to-one correspondence between the product data 'Flash' 'Group' of the lightning imager and the positioning data of the full flash discharge process, the evaluation calculation based on this can greatly improve the accuracy of the lightning imager detection performance evaluation, and relatively objective indicators such as the lightning imager detection accuracy and detection efficiency can be obtained. The lightning imager detection capability is evaluated under different discharge scales, which greatly improves the understanding of the lightning imager detection performance, and is conducive to the promotion and application of lightning imager product data. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0032] Figure 1 A schematic diagram of the steps of a one-to-one evaluation method for satellite lightning imager detection performance provided by an embodiment of the present invention;

[0033] Figure 2 A schematic diagram of a one-to-one correspondence result between a total flash event group and a lightning imager 'Group' provided in an embodiment of the present invention;

[0034] Figure 3 A schematic diagram of a one-to-one evaluation device for satellite lightning imager detection performance provided by an embodiment of the present invention;

[0035] Figure 4 A schematic diagram of a one-to-one evaluation device for the detection performance of a satellite lightning imager provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention will be described clearly and completely in conjunction with the specific embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] It should be noted that it is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in the present invention can be combined with other embodiments without conflict. Unless otherwise defined, the technical terms or scientific terms involved in the present invention should be the usual meanings understood by people with ordinary skills in the technical field to which the present invention belongs. The words "one", "a", "a", "the" and the like involved in the present invention do not indicate a quantitative limitation and may represent the singular or plural. The terms "including", "comprising", "having" and any of their variations involved in the present invention are intended to cover non-exclusive inclusions; the terms "first", "second", "third", etc. involved in the present invention are merely to distinguish similar objects and do not represent a specific ordering of objects.

[0038] The present invention proposes a one-to-one evaluation method and device for the detection performance of a satellite lightning imager. The implementation of this technology can achieve a one-to-one correspondence between lightning imager data products and ground-based total flash positioning data at different discharge scales, realize the evaluation of the detection capability of lightning imagers at different discharge scales, greatly improve the understanding of the detection performance of lightning imagers, and contribute to the promotion and application of lightning imager product data.

[0039] The specific instructions are given below.

[0040] The method provided by the present invention is applicable to low-frequency and very high-frequency all-flash positioning data.

[0041] Figure 1 A schematic diagram of the steps of a one-to-one evaluation method for satellite lightning imager detection performance provided by an embodiment of the present invention may include the following steps:

[0042] S110: Clustering the 'Group' data of the lightning imager into 'Flash' data, and clustering the full-flash location data into full-flash lightning and full-flash event groups.

[0043] In one embodiment of the present invention, the 'Group' data of the lightning imager are clustered into 'Flash' data, and the full-flash location data are clustered into full-flash lightning and full-flash event groups, specifically including: clustering the 'Group' data of the lightning imager into 'Flash' data; wherein the time and position of the 'Flash' data are respectively the average time and centroid position of all the 'Groups' included therein; dividing the discharge events corresponding to the full-flash location data into lightning events according to space and time; the occurrence time of lightning is defined as the average time of all the discharge events included therein, and the position is the centroid of the convex hull of all the discharge events included therein; performing time clustering on the discharge events in the divided lightning events to obtain a full-flash event group; the time of the full-flash event group is defined as the average time of all the discharge events included therein, and the position is the centroid of the convex hull of all the discharge events included therein.

[0044] Specifically, the 'Group' data and all-flash location data of the lightning imager are classified into flashes:

[0045] The 'Group' data products of the lightning imager are clustered into 'Flash', and the time and position of 'Flash' are defined as the average time and centroid position of all 'Group'. The discharge events corresponding to the total flash location data are divided into lightning events according to space and time (the occurrence time of lightning is defined as the average time of all discharge events, and the position is the centroid of the convex hull of all discharge events). In this lightning, the total flash event group similar to 'Group' is clustered according to time (time threshold 2ms) (the time of the event group is defined as the average time of all discharge events, and the position is the centroid of the convex hull of all discharge events).

[0046] S120: Matching the 'Group' data and the full-flash event group based on the first spatiotemporal matching standard, determining the systematic error according to the matching result; after removing the systematic error, obtaining the second spatiotemporal matching standard.

[0047] In one embodiment of the present invention, the 'Group' data and the total flash event group are matched based on a first spatiotemporal matching standard, and the systematic error is determined according to the matching result. After the systematic error is removed, the second spatiotemporal matching standard is obtained, which specifically includes: matching the 'Group' data and the total flash event group based on the first spatiotemporal matching standard; subtracting the successfully matched 'Group' data from the corresponding data of the total flash event group to obtain the time error and position error between the corresponding 'Group' and the total flash event group, and using the time error and position error as the systematic error of the lightning imager observation data; after eliminating the systematic error, calculating the probability distribution of the time error and position error, and using the time and position of the area with a probability greater than a preset threshold as the second spatiotemporal matching standard.

[0048] Specifically, spatiotemporal threshold matching:

[0049] The 'Group' and the full flash event group are matched based on a certain spatiotemporal threshold (the first spatiotemporal matching criterion), and the time error and position error between the corresponding 'Group' and the full flash event group are obtained by subtracting the matched 'Group' and the full flash event group. The systematic errors (time error, position error) of the lightning imager observation data are obtained. After removing these systematic errors, the probability distribution of the time error and position error is calculated, and the time and position of the area with a larger probability are used as the new spatiotemporal threshold (the second spatiotemporal matching criterion).

[0050] S130: Matching the 'Group' data and the full flash event group again based on the second spatiotemporal matching standard, and making a one-to-one correspondence between the 'Flash' data and the full flash lightning at the lightning level according to the matching result.

[0051] In one embodiment of the present invention, the 'Group' data and the full flash event group are matched again based on the second spatiotemporal matching standard, and the 'Flash' data and the full flash lightning are matched one-to-one at the lightning level according to the matching result, specifically including: matching the 'Group' data and the full flash event group again based on the second spatiotemporal matching standard; if a 'Group' data and a full flash event group are matched successfully, then the corresponding lightning imager 'Flash' data is indexed through the 'Group' data, and the corresponding full flash lightning is indexed through the full flash event group, and the indexed lightning imager 'Flash' data is matched with the full flash lightning, so as to obtain a one-to-one correspondence result between the 'Flash' data and the full flash lightning at the lightning level; wherein, one 'Flash' data is only allowed to match one full flash lightning, and if there are multiple correspondences between the two, the lightning with the smallest time difference between the two is matched.

[0052] Specifically, the Lightning levels correspond one-to-one:

[0053] After removing the systematic error, the new spatiotemporal threshold is used to match the 'Group' with the full-flash event group. If a 'Group' matches a full-flash event group successfully, the 'Group' is indexed to its corresponding 'Flash', and the full-flash event group is indexed to its corresponding full-flash lightning. The 'Flash' of the lightning imager can be matched with a full-flash lightning. A 'Flash' is only allowed to match one full-flash lightning. If there are multiple matches, the lightning with the smallest time difference between the two is matched.

[0054] S140: According to the matching result of the 'Flash' data and the full flash lightning, a one-to-one correspondence is made between the 'Group' data and the most recent full flash event group at the group level within a preset time interval.

[0055] In one embodiment of the present invention, according to the matching result of 'Flash' data and full flash lightning, a one-to-one correspondence is made between 'Group' data and the most recent full flash event group at the group level within a preset time interval, specifically including: for each matched pair of 'Flash' data and full flash lightning, the time difference between the full flash lightning and the 'Flash' data is obtained, and the time difference is added to each 'Group' data in the 'Flash' data; each 'Group' data to which the time difference is added is corresponded with the most recent full flash event group within a preset time interval, thereby obtaining a one-to-one correspondence result between the 'Group' data and the full flash event group at the group level.

[0056] In one embodiment of the present invention, for each matched pair of 'Flash' data and full flash lightning, the time difference between the full flash lightning and the 'Flash' data is obtained, specifically including: in each matched pair of 'Flash' data and full flash lightning, obtaining the first time difference between any two 'Group' data in the 'Flash' data; obtaining the second time difference between any two full flash event groups in the full flash lightning; determining the two closest first time differences and second time differences, and determining the corresponding 'Group' data pair and full flash event group pair based on the closest first time differences and second time differences; obtaining the first time of the 'Group' data with an earlier time in the 'Group' data pair, and obtaining the second time of the full flash event group with an earlier time in the full flash event group pair; determining the third time difference between the first time and the second time; and using the third time difference as the time difference between the full flash lightning and the 'Flash' data.

[0057] Specifically, the group levels correspond one to one:

[0058] Between each pair of lightning flashes ('Flash' and full flash lightning) matched above, if the first time difference between any pair of lightning imagers 'Group' is closest to the second time difference between any pair of full flash event groups, then calculate the third time difference between the full flash event group earlier in the two pairs and the 'Group' earlier in time, and use the third time difference as the time difference between the full flash lightning and the 'Flash'.

[0059] For example, 'Flash' includes 'Group 1', 'Group 2', ..., 'Group n' arranged in chronological order, and full flash lightning includes full flash event group 1, full flash event group 2, ..., full flash event group n arranged in chronological order; compare the first time difference between any two 'Groups' (such as Group 1 and Group 2, Group 1 and Group 3, Group 2 and Group 3, etc.) and the second time difference between any two full flash event groups (such as full flash event group 1 and full flash event group 2, full flash event group 1 and full flash event group 3, full flash event group 2 and full flash event group 3, etc.); if it is determined that the first time difference between Group 2 and Group 3 and the second time difference between full flash event group 1 and full flash event group 3 are closest, then calculate the time difference between full flash event group 1 (full flash event group 1 is earlier in time than full flash event group 3) and Group 2 (Group 2 is earlier in time than Group 3). 3 is sorted first), and the third time difference is used as the time difference between the full flash lightning and 'Flash'.

[0060] This time difference is added to each 'Group' in this 'Flash' to perform a time correction on each 'Group' to ensure a more accurate time correspondence between the total flash event group and the lightning imager 'Group'. Each 'Group' with the added time difference is matched with the nearest total flash event group within a time interval of 100ms (approximately the time it takes for light to reach the geostationary orbit from the cloud top), thus achieving a one-to-one correspondence at the group level.

[0061] S150: Obtaining the relative detection efficiency and / or relative detection accuracy of the lightning imager based on the one-to-one correspondence results at different levels.

[0062] In one embodiment of the present invention, the relative detection efficiency and / or relative detection accuracy of the lightning imager is obtained based on the one-to-one correspondence results of different levels, specifically including: calculating the relative detection efficiency of the lightning imager at different levels through Bayesian theory; comparing the time and position between different total flashes or total flash event groups, and determining the time accuracy and position accuracy of the lightning imager's 'Flash' data and 'Group' data according to the difference in the compared time and position.

[0063] Specifically, the detection efficiency and detection accuracy are calculated:

[0064] Based on the one-to-one correspondence results of different levels (flash level 'Flash', group level 'Group'), the relative detection efficiency and relative detection accuracy of the lightning imager can be calculated. The relative detection efficiency of different levels of the lightning imager can be calculated by Bayesian theory. By comparing the time and position of the total flash event group or total flash lightning, the time accuracy and position accuracy of the lightning imager 'Flash' and 'Group' can be obtained according to the time and position differences between different total flash lightning or total flash event groups.

[0065] The present invention is described below by further embodiments:

[0066] The performance of the lightning imager is evaluated by taking the positioning data of the 50km center of the total flash detection array network in a certain place as an example. After the total flash data is classified and clustered, the systematic deviation of the lightning locator is adjusted under the temporal and spatial threshold matching standard of 2.1s and 25km (time deviation -0.946s, longitude deviation -0.0817°, latitude deviation -0.0245°), and the new temporal and spatial matching threshold is 1.4s and 16km.

[0067] Using the new spatiotemporal threshold, one-to-one correspondence results of different levels can be obtained through one-to-one correspondence of lightning level and one-to-one correspondence of group level. The relative detection efficiency of the lightning location imager at the 'Flash' level (lightning level) is 17.6%, the median relative time accuracy is 0.647s (0.994s before system bias removal), and the median relative position accuracy is 5.02km (11.11km before system bias removal). The relative detection efficiency at the 'Group' level (group level) is 9.8%, the median relative time accuracy is 0.660s (1.059s before system bias removal), and the median relative position accuracy is 6.54km (11.25km before system bias removal).

[0068] Figure 2 To obtain the one-to-one correspondence between the total flash event group and the lightning imager 'Group' according to this method, the dots represent the total flash discharge events, the diamonds represent the 'Group' of the lightning imager, the size of the diamonds represents the light radiation intensity of the 'Group', and the plus sign represents the 'Event' of the lightning imager.

[0069] exist Figure 2 middle:

[0070] (a). Distribution of discharge height over time;

[0071] (b) The distribution of discharge height in the east-west direction;

[0072] (c) Distribution of the number of total flash events with height;

[0073] (d) Distribution of discharge events in the east-west-north-south plane;

[0074] (e). Distribution of discharge height in the north-south direction.

[0075] The above is a one-to-one evaluation method for satellite lightning imager detection performance provided by an embodiment of the present invention. Based on the same inventive idea, an embodiment of the present invention also provides a corresponding one-to-one evaluation device for satellite lightning imager detection performance, such as Figure 3 As shown, including:

[0076] The flash classification module 302 is used to cluster the 'Group' data of the lightning imager into 'Flash' data, and cluster the full-flash location data into full-flash lightning and full-flash event groups;

[0077] The spatiotemporal matching standard acquisition module 304 is used to match the 'Group' data and the full flash event group based on the first spatiotemporal matching standard, determine the systematic error according to the matching result; after removing the systematic error, obtain the second spatiotemporal matching standard;

[0078] A lightning level one-to-one correspondence module 306 is used to match the 'Group' data with the full flash event group again based on the second spatiotemporal matching standard, and to make a one-to-one correspondence between the 'Flash' data and the full flash lightning at the lightning level according to the matching result;

[0079] A group-level one-to-one correspondence module 308 is used to make a one-to-one correspondence between the 'Group' data and the most recent full-flash event group at the group level within a preset time interval according to the matching result between the 'Flash' data and the full-flash lightning;

[0080] The detection efficiency / accuracy calculation module 310 is used to obtain the relative detection efficiency and / or relative detection accuracy of the lightning imager based on the one-to-one correspondence results at different levels.

[0081] The embodiment of the present invention also provides a corresponding one-to-one evaluation device for satellite lightning imager detection performance, such as Figure 4 As shown, including:

[0082] At least one processor 402 (processor), a communication interface 404 (Communications Interface), a memory 406 (memory) and a communication bus 408; wherein the processor 402, the communication interface 404, and the memory 406 communicate with each other via the communication bus 408; the processor 402 can call the logic instructions stored in the memory 406 to enable at least one processor 402 to execute the steps of the above-mentioned embodiments.

[0083] Based on the same idea, some embodiments of the present invention also provide a medium corresponding to the above method.

[0084] Some embodiments of the present invention provide a storage medium storing computer executable instructions, and the computer executable instructions are executed by a processor to implement the steps of the above embodiments.

[0085] On the other hand, an embodiment of the present application also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the steps of a one-to-one evaluation method for the detection performance of a satellite lightning imager provided in the above embodiments.

[0086] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, medium and program product embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0087] The devices, media, and program products provided in the embodiments of the present invention correspond one-to-one to the methods. Therefore, the devices, media, and program products also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices, media, and program products will not be repeated here.

[0088] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or method including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or method. In the absence of more restrictions, the elements defined by the sentence "includes one..." do not exclude the presence of other identical elements in the process, method, commodity or method including the elements.

[0089] The above are only embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail above with general descriptions and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made on the basis of the present invention. Therefore, these modifications or improvements made on the basis of not departing from the spirit of the present invention all belong to the scope of protection claimed in the present invention.

Claims

1. A one-to-one evaluation method for satellite lightning imager detection performance, characterized in that: include: Clustering the 'Group' data of the lightning imager into 'Flash' data, and clustering the full-flash location data into full-flash lightning and full-flash event groups; Matching the 'Group' data and the total flash event group based on the first spatiotemporal matching standard, determining the systematic error according to the matching result, and obtaining the second spatiotemporal matching standard after removing the systematic error, including: matching the 'Group' data and the total flash event group based on the first spatiotemporal matching standard; subtracting the successfully matched 'Group' data from the corresponding data of the total flash event group to obtain the time error and position error between the corresponding 'Group' and the total flash event group, and using the time error and position error as the systematic error of the lightning imager observation data; after eliminating the systematic error, calculating the probability distribution of the time error and the position error, and using the time and position of the area with a probability greater than a preset threshold as the second spatiotemporal matching standard; Based on the second spatiotemporal matching standard, the 'Group' data and the full-flash event group are matched again, and the 'Flash' data and the full-flash lightning are matched one-to-one at the lightning level according to the matching result, including: based on the second spatiotemporal matching standard, the 'Group' data and the full-flash event group are matched again; if a 'Group' data and a full-flash event group are matched successfully, the corresponding lightning imager 'Flash' data is indexed through the 'Group' data, and the corresponding full-flash lightning is indexed through the full-flash event group, and the indexed lightning imager 'Flash' data is matched with the full-flash lightning, so as to obtain a one-to-one correspondence result between the 'Flash' data and the full-flash lightning at the lightning level; wherein, a 'Flash' data is only allowed to match with one full-flash lightning, and if there are multiple correspondences between the two, the lightning with the smallest time difference between the two is matched; According to the matching result of the 'Flash' data and the full flash lightning, the 'Group' data is matched with the full flash event group with the closest time at the group level within a preset time interval, including: for each matched pair of 'Flash' data and full flash lightning, the time difference between the full flash lightning and the 'Flash' data is obtained, and the time difference is added to each 'Group' data in the 'Flash' data; each 'Group' data with the time difference added is matched with the full flash event group with the closest time within a preset time interval, so as to obtain a one-to-one correspondence result of the 'Group' data and the full flash event group at the group level; The relative detection efficiency and / or relative detection accuracy of the lightning imager is obtained based on the one-to-one correspondence results at different levels.

2. The method according to claim 1, characterized in that: The clustering of the 'Group' data of the lightning imager into 'Flash' data and the clustering of the full-flash location data into full-flash lightning and full-flash event groups specifically includes: Cluster the 'Group' data of the lightning imager into 'Flash' data; the time and position of the 'Flash' data are the average time and centroid position of all the 'Groups' it includes; The discharge events corresponding to the total flash location data are divided into lightning events according to space and time; the occurrence time of lightning is defined as the average time of all the discharge events it includes, and the location is the centroid of the convex hull of all the discharge events it includes; The divided lightning discharge events are time-clustered to obtain the full-flash event group; the time of the full-flash event group is defined as the average time of all the discharge events it includes, and the position is the centroid of the convex hull of all the discharge events it includes.

3. The method according to claim 1, characterized in that For each matched pair of 'Flash' data and full flash lightning, obtaining the time difference between the full flash lightning and the 'Flash' data specifically includes: In each pair of matched 'Flash' data and full flash, obtain the first time difference between any two 'Group' data in the 'Flash' data; Obtaining a second time difference between any two full-flash event groups in the full-flash lightning; Determine two closest first time differences and second time differences, and determine corresponding 'Group' data pairs and full flash event group pairs based on the closest first time differences and second time differences; Obtain the first time of the 'Group' data that is earlier in time in the 'Group' data pair, and obtain the second time of the full flash event group that is earlier in time in the full flash event group pair; determining a third time difference between the first time and the second time; The third time difference is taken as the time difference between the full flash lightning and the 'Flash' data.

4. The method according to claim 1, characterized in that: The obtaining of the relative detection efficiency and / or relative detection accuracy of the lightning imager based on the one-to-one correspondence results at different levels specifically includes: The relative detection efficiency of different levels of lightning imagers is calculated using Bayesian theory; The time and position of different total flashes or total flash event groups are compared, and the time and position accuracy of the lightning imager's 'Flash' data and 'Group' data are determined based on the differences in the compared time and position.

5. A one-to-one evaluation device for satellite lightning imager detection performance, characterized in that: include: The flash classification module is used to cluster the 'Group' data of the lightning imager into 'Flash' data, and cluster the full-flash location data into full-flash lightning and full-flash event groups; A space-time matching standard acquisition module is used to match the 'Group' data and the total flash event group based on a first space-time matching standard, determine the systematic error according to the matching result, and obtain the second space-time matching standard after removing the systematic error, including: matching the 'Group' data and the total flash event group based on the first space-time matching standard; subtracting the successfully matched 'Group' data from the corresponding data of the total flash event group to obtain the time error and position error between the corresponding 'Group' and the total flash event group, and using the time error and position error as the systematic error of the lightning imager observation data; after eliminating the systematic error, calculating the probability distribution of the time error and the position error, and using the time and position of the area with a probability greater than a preset threshold as the second space-time matching standard; A one-to-one correspondence module at the lightning level is used to match the 'Group' data and the full-flash event group again based on the second spatiotemporal matching standard, and to match the 'Flash' data and the full-flash lightning at the lightning level one-to-one according to the matching result, including: matching the 'Group' data and the full-flash event group again based on the second spatiotemporal matching standard; if a 'Group' data and a full-flash event group are successfully matched, then the 'Flash' data of the lightning imager corresponding to it is indexed through the 'Group' data, and the full-flash lightning corresponding to it is indexed through the full-flash event group, and the indexed 'Flash' data of the lightning imager is matched with the full-flash lightning, so as to obtain a one-to-one correspondence result between the 'Flash' data and the full-flash lightning at the lightning level; wherein, a 'Flash' data is only allowed to match with one full-flash lightning, and if there are multiple correspondences between the two, the lightning with the smallest time difference between the two is matched; A group-level one-to-one correspondence module is used to make a one-to-one correspondence between the 'Group' data and the most recent all-flash event group at the group level within a preset time interval according to the matching result of the 'Flash' data and the all-flash lightning, including: for each matched pair of 'Flash' data and all-flash lightning, obtain the time difference between the all-flash lightning and the 'Flash' data, and add the time difference to each 'Group' data in the 'Flash' data; make each 'Group' data to which the time difference is added correspond to the most recent all-flash event group within a preset time interval, so as to obtain a one-to-one correspondence result between the 'Group' data and the all-flash event group at the group level; The detection efficiency / accuracy calculation module is used to obtain the relative detection efficiency and / or relative detection accuracy of the lightning imager based on the one-to-one correspondence results at different levels.

6. A one-to-one evaluation device for satellite lightning imager detection performance, characterized in that: include: at least one processor; as well as, A memory connected to the at least one processor via a bus; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed to implement the method according to any one of claims 1 to 4.

7. A non-volatile storage medium storing computer executable instructions, characterized in that: The computer executable instructions are executed by a processor to implement the method according to any one of claims 1 to 4.

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