CN111220956A - Method for removing sea detection land target by airborne radar based on geographic information - Google Patents
Method for removing sea detection land target by airborne radar based on geographic information Download PDFInfo
- Publication number
- CN111220956A CN111220956A CN201911087208.0A CN201911087208A CN111220956A CN 111220956 A CN111220956 A CN 111220956A CN 201911087208 A CN201911087208 A CN 201911087208A CN 111220956 A CN111220956 A CN 111220956A
- Authority
- CN
- China
- Prior art keywords
- sea
- land
- target area
- information
- latitude
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/35—Details of non-pulse systems
- G01S7/352—Receivers
- G01S7/354—Extracting wanted echo-signals
Abstract
The invention discloses a method for removing sea detection land targets by an airborne radar based on geographic information, which realizes quick and accurate identification and target removal of sea and land information of a target area by indexing the sea and land information based on map data and adopting a mode of buffering and accessing the map data.
Description
Technical Field
The invention belongs to the technical field of radar signal processing, and particularly relates to a method for removing sea detection land targets by an airborne radar based on geographic information.
Background
The airborne radar takes an airplane flying at high altitude as a carrier, has the characteristics of long detection distance, large coverage area, avoidance of ground object shielding and flexibility in maneuvering, and is widely applied to the aspects of remote early warning, battlefield reconnaissance, fire control, topographic mapping, ultra-low altitude penetration target detection and the like. The airborne radar system transmits the linear frequency modulation signal and receives the echo signal reflected by the ground target to realize the detection of the target distance and azimuth information. The airborne radar mainly works in a downward-looking state, and has wide clutter distribution range and high strength. The radar can receive very strong ground sea clutter interference when surveying sea target, and the influence of near-sea strong ground clutter can make a large amount of land false alarms appear in the detection range, seriously influences the sea detection performance of radar.
In the prior art, there are various target detection methods based on knowledge-aided technology under clutter, including an algorithm for sea-land segmentation based on an SAR image, a method for sea-land segmentation based on an optimized active contour model, and the like, but under the condition of a complex sea-land environment, the above prior art has the problems that: the method has low measure, is difficult to reflect the difference between the ocean area and the land area, and is difficult to realize good segmentation effect; in addition, the airborne radar needs to output a target detection result in real time in a sea detection mode, and the sea and land segmentation based on the image has a large calculation amount, so that the method cannot meet the requirement of real-time detection.
Disclosure of Invention
In view of the above, the invention provides a method for removing sea detection land targets by an airborne radar based on geographic information, which can realize accurate removal of land targets in echo signals in the sea detection process by the airborne radar.
The invention provides a method for eliminating sea detection land targets by an airborne radar based on geographic information, which is characterized in that sea and land image files are compressed and stored in an antenna carrier, the sea and land image files comprise sea and land data information and sea and land image information, the sea and land image files are divided into a plurality of subfiles according to a set coverage range, and the method comprises the following steps:
if the latitude and longitude of the current target area are not within the coverage range of the latitude and longitude of the target area of the previous frame, traversing the subfiles of the decompressed sea and land image file, selecting the subfiles with the intersection between the coverage range and the connection range of the starting end point and the ending end point, forming a subfile set corresponding to the latitude and longitude of the target area, namely the sea and land data information and the sea and land image information of the target area, and storing the sea and land data information and the sea and land image information;
step 5, sampling points on the starting and ending point connecting lines according to the longitude and latitude and the included angle of the target area and according to a set interval to obtain target area sampling points, and searching in the sea and land data information and the sea and land image information according to the longitude and latitude information of the target area sampling points to obtain the sea and land information of the target area sampling points, namely the geographic position corresponding to the target area sampling points is sea or land;
step 6, when the geographic position corresponding to the target area sampling point is an ocean, acquiring sampling point radar echo data corresponding to the target area sampling point, and performing CFAR detection on the sampling point radar echo data; and when the geographic position corresponding to the target area sampling point is the land, not processing.
Further, the compressed storage mode of the compressed storage sea-land image file is two-stage compressed storage, the first stage of compression is to compress a 01 sequence which represents sea-land information in the sea-land image file, and eight 8-bit data are compressed into 8-bit data; and the second stage of compression adopts a run length coding compression mode.
Has the advantages that:
the method and the device realize quick and accurate identification and target elimination of the sea and land information of the target area by indexing the sea and land information based on the map data and adopting a mode of buffering and accessing the map data.
Drawings
Fig. 1 is a flowchart of a method for removing sea exploration land targets by an airborne radar based on geographic information provided by the invention.
Fig. 2 is a basic schematic diagram of a method for removing sea detection land targets by an airborne radar based on geographic information provided by the invention.
Fig. 3 is a schematic diagram of geometric relationships of parameters of the sea detection land target elimination method based on the airborne radar based on the geographic information in the geodetic coordinate system.
Fig. 4 is a schematic diagram of a file compression method of the sea detection land target elimination method by the airborne radar based on the geographic information.
Fig. 5 is a sea-land information acquisition flow chart of a method for removing sea detection land targets by an airborne radar based on geographic information, provided by the invention.
Fig. 6 is a flow chart of target sea-land information determination of a method for removing sea detection land targets by an airborne radar based on geographic information, provided by the invention.
Fig. 7 is a comparison result diagram of a sea exploration land target elimination method by an airborne radar based on geographic information and a traditional detection method provided by the invention.
Detailed Description
The invention is described in detail below by way of example with reference to the accompanying drawings.
The invention provides a method for removing sea detection land targets by an airborne radar based on geographic information, which has the flow as shown in figure 1 and the principle as shown in figure 2, and specifically comprises the following steps:
step 1.1, reading in radar carrier parameters required for calculating the longitude and latitude of a beam irradiation area, and comprising the following steps: longitude and latitude, course angle, roll angle, pitch angle, height, and antenna beam center azimuth angle and pitch angle; then, reading echo data; and calculating azimuth angles and pitch angles of A, B points corresponding to the starting and tail end points of the echo according to the central azimuth angle and the pitch angle of the antenna beam.
Step 1.2, because the longitude and latitude of each point are calculated, the calculation is needed under a geodetic coordinate system, therefore, a body coordinate system needs to be converted into the geodetic coordinate system so as to obtain the azimuth angle and the pitch angle of the A, B two points under the geodetic coordinate system; the body coordinate system takes the body direction of the carrier as the positive direction, the north direction of the earth as the positive direction under the geodetic coordinate system, the included angle between the body direction of the carrier and the north direction as a course angle, and the azimuth angle under the body coordinate system is AsAnd a pitch angle of EsThe azimuth angle under the geodetic coordinate system is AdAnd a pitch angle of EdThey have the following relationship:
in the formula，
Where ψ is a heading angle (clockwise is positive), θ is a body pitch angle (upward is positive), and φ is a roll angle (right roll is positive).
And step 1.3, calculating to obtain the longitude and latitude of a target area corresponding to the starting and ending points of an antenna beam irradiation area and an included angle between a connecting line of the starting and ending points and the positive north direction according to the longitude and latitude, the altitude, the azimuth angle and the pitch angle of the points A and B of the airplane in a geodetic coordinate system. The geometrical relationship of the parameters in the geodetic coordinate system is shown in fig. 3.
And 2, decompressing the sea and land image file, wherein the sea and land image file records the geographic information of the radar detection area. Meanwhile, in order to reduce the calculation cost of file search and improve the retrieval efficiency, the sea and land image file is divided into a plurality of subfiles according to the set coverage range, and each subfile has a certain coverage range.
In order to reduce the use of storage space, the sea and land image files are stored in a compression storage mode, specifically, two-stage compression storage is adopted, the first stage compresses a 01 sequence representing sea and land information in the sea and land image, and eight 8-bit data are compressed into 8-bit data; the second stage adopts a run-length coding compression mode, and a schematic diagram is shown in FIG. 4.
step 3.1, judging whether the current echo data is first frame data, and if the current echo data is the first frame data, executing step 3.2; if not, executing step 3.3;
step 3.2, traversing each subfile in the decompressed sea-land data file, selecting a subfile with a coverage area and a connection range of the starting end point and the ending end point of the current target area, forming a subfile set corresponding to the longitude and latitude of the current target area, namely the sea-land data information and the sea-land image information of the current target area, and storing the subfiles;
step 3.3, acquiring the longitude and latitude of the target area of the previous frame, traversing the subfile set of the previous frame if the longitude and latitude of the current target area are within the coverage range of the longitude and latitude of the target area of the previous frame, selecting a subfile with intersection between the coverage range and the connection range of the starting end point and the ending end point of the current target area, forming a subfile set corresponding to the longitude and latitude of the current target area, namely sea-land data information and sea-land image information of the current target area, and storing the subfile set;
and if the latitude and longitude of the current target area are not within the coverage range of the latitude and longitude of the target area of the previous frame, traversing the subfiles of the decompressed sea-land image file, selecting the subfiles with intersection between the coverage range and the connection range of the current starting and ending points, forming a subfile set corresponding to the latitude and longitude of the current target area, namely the sea-land data information and the sea-land image information of the current target area, and storing the subfiles.
And 4, sampling points on the current starting and ending point connecting line according to the longitude and latitude and the included angle of the current target area and according to a set interval to obtain a current target area sampling point, and searching in the sea-land data information and the sea-land image information obtained in the step 3.3 according to the longitude and latitude information of the current target area sampling point to obtain the sea-land information of the current target area sampling point, namely the geographic position corresponding to the current target area sampling point is sea or land.
And 5, combining the sea and land judgment results to detect the target and reject the land target, and specifically comprising the following steps:
step 5.1, mapping the sampling points to corresponding positions of radar echoes according to the longitude and latitude information of the sampling points;
step 5.2, recording the longitude and latitude of the land boundary point according to the sea and land judgment result;
step 5.3, solving the slope distance of the boundary point according to the longitude and latitude of the boundary point, the longitude and latitude of the airplane and the altitude of the airplane; calculating the corresponding distance index of the echo according to the formula (1) by the slope distance of the boundary point:
wherein, R is the land boundary point slant distance, R0 is the compensation distance, c is the speed of light, and fs is the sampling rate.
And performing target detection according to the sea and land judgment result of the point, and rejecting land targets. As shown in fig. 6, for each range unit of the echo, if the result of the sea-land determination is sea, CFAR detection is performed, otherwise, detection is not performed. Thus, land target elimination can be realized.
To illustrate the effectiveness of the present invention, the following experimental demonstration was performed. The experimental data utilizes actually measured radar echo data, with a sampling rate fs of 10MHz, a bandwidth B of 5MHz, and a pulse width tp of 70 us. The results of the experimental runs are shown in figure 7. The left column is the detection result of the traditional detection method, the middle column is the sea and land outline image output by the sea and land identification unit, the right column is the detection result after the land target is removed, and the detection is not carried out in the front 30% distance range in the echo data.
According to the experiment, the effectiveness of the detection method based on the geographic information system in land target elimination is mainly analyzed through comparison between the method provided by the invention and the traditional detection method. According to experimental results, the sea-land contour of the echo irradiation area can be accurately obtained through the processes of longitude and latitude calculation, sea-land information identification and the like, so that the land targets can be accurately removed, and the method plays an important role in the application of airborne radar to sea detection.
In summary, the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. A method for eliminating sea detection land targets by an airborne radar based on geographic information is characterized in that sea and land image files are compressed and stored in an antenna carrier, the sea and land image files comprise sea and land data information and sea and land image information, the sea and land image files are divided into a plurality of subfiles according to a set coverage range, and the method comprises the following steps:
step 1, calculating to obtain the longitude and latitude of a target area corresponding to the starting and ending points of a current antenna beam irradiation area and an included angle between a connecting line of the starting and ending points and the north direction in a geodetic coordinate system according to the obtained longitude and latitude and height of the current antenna carrier and the azimuth angle and the pitch angle of the antenna beam center; acquiring current echo data;
step 2, judging whether the current echo data is first frame data, and if the current echo data is the first frame data, executing step 3; if not, executing step 4;
step 3, traversing the decompressed sub-files of the sea-land image file, selecting the sub-file with the intersection between the coverage range and the connection range of the starting end point and the ending end point, forming a sub-file set corresponding to the longitude and latitude of the target area, namely the sea-land data information and the sea-land image information of the target area, and storing the sea-land data information and the sea-land image information; executing the step 5;
step 4, acquiring the longitude and latitude of a target area of a previous frame, traversing the sea and land data information and the sea and land image information of the previous frame if the current longitude and latitude of the target area are within the coverage range of the longitude and latitude of the target area of the previous frame, selecting a subfile with an intersection between the coverage range and the connection range of the starting end point and the ending end point, forming a subfile set corresponding to the longitude and latitude of the target area, namely the sea and land data information and the sea and land image information of the target area, and storing the sea and land data information and the sea and land image information;
if the latitude and longitude of the current target area are not within the coverage range of the latitude and longitude of the target area of the previous frame, traversing the subfiles of the decompressed sea and land image file, selecting the subfiles with the intersection between the coverage range and the connection range of the starting end point and the ending end point, forming a subfile set corresponding to the latitude and longitude of the target area, namely the sea and land data information and the sea and land image information of the target area, and storing the sea and land data information and the sea and land image information;
step 5, sampling points on the starting and ending point connecting lines according to the longitude and latitude and the included angle of the target area and according to a set interval to obtain target area sampling points, and searching in the sea and land data information and the sea and land image information according to the longitude and latitude information of the target area sampling points to obtain the sea and land information of the target area sampling points, namely the geographic position corresponding to the target area sampling points is sea or land;
step 6, when the geographic position corresponding to the target area sampling point is an ocean, acquiring sampling point radar echo data corresponding to the target area sampling point, and performing CFAR detection on the sampling point radar echo data; and when the geographic position corresponding to the target area sampling point is the land, not processing.
2. The method according to claim 1, wherein the compressed storage of the image file of sea and land is a two-stage compression storage, the first stage of compression compresses a 01 sequence representing sea and land information in the image file of sea and land, and eight 8-bit data are compressed into one 8-bit data; and the second stage of compression adopts a run length coding compression mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911087208.0A CN111220956B (en) | 2019-11-08 | 2019-11-08 | Method for removing sea detection land target by airborne radar based on geographic information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911087208.0A CN111220956B (en) | 2019-11-08 | 2019-11-08 | Method for removing sea detection land target by airborne radar based on geographic information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111220956A true CN111220956A (en) | 2020-06-02 |
| CN111220956B CN111220956B (en) | 2021-11-09 |
Family
ID=70828969
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911087208.0A Active CN111220956B (en) | 2019-11-08 | 2019-11-08 | Method for removing sea detection land target by airborne radar based on geographic information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111220956B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111913179A (en) * | 2020-08-20 | 2020-11-10 | 上海无线电设备研究所 | Method for improving offshore observation capability of satellite-borne radar altimeter |
| CN116051925A (en) * | 2023-01-04 | 2023-05-02 | 北京百度网讯科技有限公司 | Training sample acquisition method, device, equipment and storage medium |
| CN116482678A (en) * | 2023-03-14 | 2023-07-25 | 中国人民解放军63921部队 | Space-based radar sea surface detection wave level optimization method, device and storage medium |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007256402A (en) * | 2006-03-22 | 2007-10-04 | Zenrin Co Ltd | Map data generating device |
| JP2009047550A (en) * | 2007-08-20 | 2009-03-05 | Tokyo Keiki Inc | Unnecessary tracking target removal device |
| CN102938150A (en) * | 2012-11-20 | 2013-02-20 | 西安电子科技大学 | Synthetic aperture radar (SAR) image ship detection method based on self-adaptation sea clutter statistics |
| CN104407338A (en) * | 2014-12-12 | 2015-03-11 | 国家卫星海洋应用中心 | Chinese HY-2 satellite microwave scatterometer-based polar sea ice identification method |
| US20160061946A1 (en) * | 2013-03-14 | 2016-03-03 | Raytheon Company | Methods and apparatus for adaptive motion compensation to remove translational movement between a sensor and a target |
| CN105488838A (en) * | 2015-11-30 | 2016-04-13 | 中国人民解放军海军航空工程学院 | Radar image simulation-oriented terrain environment data representing method |
| CN105699951A (en) * | 2016-03-09 | 2016-06-22 | 中国人民解放军镇江船艇学院 | DEM data superposition-based marine radar echo simulation method |
| US20160258756A1 (en) * | 2013-08-05 | 2016-09-08 | Sono Electronics Co., Ltd. | User portable terminal for retrieving target geographical information using a user's current location and current azimuth angle and providing such to user |
| CN106709914A (en) * | 2017-01-05 | 2017-05-24 | 北方工业大学 | SAR image ship detection false alarm eliminating method based on two-stage DEM sea-land reservoir |
| CN106803070A (en) * | 2016-12-29 | 2017-06-06 | 北京理工雷科电子信息技术有限公司 | A kind of port area Ship Target change detecting method based on remote sensing images |
| CN107340503A (en) * | 2017-07-02 | 2017-11-10 | 中国航空工业集团公司雷华电子技术研究所 | A kind of method for suppressing false sea-surface target based on digital elevation map |
| CN109001725A (en) * | 2018-06-07 | 2018-12-14 | 中国人民解放军海军工程大学 | A kind of sea unmanned boat sea multi-object tracking method |
| CN109191420A (en) * | 2018-07-02 | 2019-01-11 | 上海卫星工程研究所 | A kind of ROI compression method of ship target sectioning image |
| CN110084104A (en) * | 2019-03-15 | 2019-08-02 | 北京理工雷科电子信息技术有限公司 | The method for carrying out the detection of naval vessel moving-target based on gaussian pyramid light stream |
| CN110221257A (en) * | 2019-07-02 | 2019-09-10 | 中国航空工业集团公司雷华电子技术研究所 | A kind of sea-surface target detection false alarm rejection method, apparatus and radar system |
| CN110378186A (en) * | 2019-03-22 | 2019-10-25 | 北京理工雷科电子信息技术有限公司 | The method that SAR remote sensing images Ship Target false-alarm is rejected |
-
2019
- 2019-11-08 CN CN201911087208.0A patent/CN111220956B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007256402A (en) * | 2006-03-22 | 2007-10-04 | Zenrin Co Ltd | Map data generating device |
| JP2009047550A (en) * | 2007-08-20 | 2009-03-05 | Tokyo Keiki Inc | Unnecessary tracking target removal device |
| CN102938150A (en) * | 2012-11-20 | 2013-02-20 | 西安电子科技大学 | Synthetic aperture radar (SAR) image ship detection method based on self-adaptation sea clutter statistics |
| US20160061946A1 (en) * | 2013-03-14 | 2016-03-03 | Raytheon Company | Methods and apparatus for adaptive motion compensation to remove translational movement between a sensor and a target |
| US20160258756A1 (en) * | 2013-08-05 | 2016-09-08 | Sono Electronics Co., Ltd. | User portable terminal for retrieving target geographical information using a user's current location and current azimuth angle and providing such to user |
| CN104407338A (en) * | 2014-12-12 | 2015-03-11 | 国家卫星海洋应用中心 | Chinese HY-2 satellite microwave scatterometer-based polar sea ice identification method |
| CN105488838A (en) * | 2015-11-30 | 2016-04-13 | 中国人民解放军海军航空工程学院 | Radar image simulation-oriented terrain environment data representing method |
| CN105699951A (en) * | 2016-03-09 | 2016-06-22 | 中国人民解放军镇江船艇学院 | DEM data superposition-based marine radar echo simulation method |
| CN106803070A (en) * | 2016-12-29 | 2017-06-06 | 北京理工雷科电子信息技术有限公司 | A kind of port area Ship Target change detecting method based on remote sensing images |
| CN106709914A (en) * | 2017-01-05 | 2017-05-24 | 北方工业大学 | SAR image ship detection false alarm eliminating method based on two-stage DEM sea-land reservoir |
| CN107340503A (en) * | 2017-07-02 | 2017-11-10 | 中国航空工业集团公司雷华电子技术研究所 | A kind of method for suppressing false sea-surface target based on digital elevation map |
| CN109001725A (en) * | 2018-06-07 | 2018-12-14 | 中国人民解放军海军工程大学 | A kind of sea unmanned boat sea multi-object tracking method |
| CN109191420A (en) * | 2018-07-02 | 2019-01-11 | 上海卫星工程研究所 | A kind of ROI compression method of ship target sectioning image |
| CN110084104A (en) * | 2019-03-15 | 2019-08-02 | 北京理工雷科电子信息技术有限公司 | The method for carrying out the detection of naval vessel moving-target based on gaussian pyramid light stream |
| CN110378186A (en) * | 2019-03-22 | 2019-10-25 | 北京理工雷科电子信息技术有限公司 | The method that SAR remote sensing images Ship Target false-alarm is rejected |
| CN110221257A (en) * | 2019-07-02 | 2019-09-10 | 中国航空工业集团公司雷华电子技术研究所 | A kind of sea-surface target detection false alarm rejection method, apparatus and radar system |
Non-Patent Citations (4)
| Title |
|---|
| DOYURAN U C, TANIK Y.: "Expectation_maximization-based_detection_in_range-heterogeneous_weibull_clutter", 《IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS》 * |
| TAO D, ANFINSEN S N, BREKKE C.: "Robust CFAR Detector Based on Truncated Statistics in Multiple-Target Situations", 《IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING》 * |
| 张俊杰,朱灿焰,刘腾飞: "机载雷达单信标跟踪的研究及DSP实现", 《微计算机信息》 * |
| 李昭瑞: "机载SAR图像的海上目标检测方法的研究", 《中国优秀硕士学位论文全文数据库（信息科技专辑）》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111913179A (en) * | 2020-08-20 | 2020-11-10 | 上海无线电设备研究所 | Method for improving offshore observation capability of satellite-borne radar altimeter |
| CN111913179B (en) * | 2020-08-20 | 2023-04-11 | 上海无线电设备研究所 | Method for improving offshore observation capability of satellite-borne radar altimeter |
| CN116051925A (en) * | 2023-01-04 | 2023-05-02 | 北京百度网讯科技有限公司 | Training sample acquisition method, device, equipment and storage medium |
| CN116051925B (en) * | 2023-01-04 | 2023-11-10 | 北京百度网讯科技有限公司 | Training sample acquisition method, device, equipment and storage medium |
| CN116482678A (en) * | 2023-03-14 | 2023-07-25 | 中国人民解放军63921部队 | Space-based radar sea surface detection wave level optimization method, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111220956B (en) | 2021-11-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111220956B (en) | Method for removing sea detection land target by airborne radar based on geographic information | |
| CN110161474B (en) | Low-slow small target detection method based on digital beam forming technology | |
| CN107561518B (en) | Three-coordinate radar point trace condensation method based on two-dimensional sliding window local extreme value | |
| CN100365429C (en) | Motive target imaging method of synthetic aperture radar | |
| US6744401B2 (en) | Methods and apparatus for radar data processing | |
| US6803878B2 (en) | Methods and apparatus for terrain correlation | |
| CN112051568B (en) | Pitching angle measurement method of two-coordinate radar | |
| CN106093935B (en) | Pitching widebeam radar ground and low target sorting technique | |
| CN110687521B (en) | Method for calibrating vehicle-mounted laser radar | |
| CN103487810A (en) | Method for detecting terrain obstacles with unmanned vehicle-borne radar based on echo characteristics | |
| CN115856854B (en) | Radar detection method and system driven by model and data in hybrid mode | |
| CN108414992B (en) | Target detection method based on phase information clutter map | |
| CN112285709B (en) | Atmospheric ozone remote sensing laser radar data fusion method based on deep learning | |
| CN110764083B (en) | Anti-intrusion data fusion method and system for millimeter wave radar | |
| JPH0980146A (en) | Radar apparatus | |
| CN110412609B (en) | Multi-pulse laser radar target detection method | |
| CN113406639A (en) | FOD detection method, system and medium based on vehicle-mounted mobile radar | |
| CN110927765B (en) | Laser radar and satellite navigation fused target online positioning method | |
| CN115100243A (en) | Ground moving target detection and tracking method based on sequential SAR image | |
| US8138962B2 (en) | Method for processing measured vertical profiles of the power of the echoes returned following a transmission of radar signals | |
| CN115661442A (en) | Method for quickly positioning target position of large-scene SAR image | |
| CN113466819A (en) | High-resolution three-dimensional point trace agglomeration method based on prior data | |
| CN112924962A (en) | Underground pipeline lateral deviation filtering detection and positioning method | |
| CN110646792A (en) | Radar search window setting method based on observation whistle digital telescope | |
| Austin et al. | Sea trials of a navigation system based on computer processing of marine radar images |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |