CN115098827A - Infrared scene numerical value calculation method in snow accumulation environment - Google Patents
Infrared scene numerical value calculation method in snow accumulation environment Download PDFInfo
- Publication number
- CN115098827A CN115098827A CN202211030738.3A CN202211030738A CN115098827A CN 115098827 A CN115098827 A CN 115098827A CN 202211030738 A CN202211030738 A CN 202211030738A CN 115098827 A CN115098827 A CN 115098827A
- Authority
- CN
- China
- Prior art keywords
- scene
- snow
- calculating
- infrared
- speed
- 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
- 238000004364 calculation method Methods 0.000 title claims description 15
- 238000009825 accumulation Methods 0.000 title claims description 10
- 239000013598 vector Substances 0.000 claims abstract description 62
- 241000533950 Leucojum Species 0.000 claims abstract description 34
- 230000005855 radiation Effects 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000004088 simulation Methods 0.000 claims abstract description 15
- 238000005516 engineering process Methods 0.000 claims abstract description 7
- 239000000463 material Substances 0.000 claims description 23
- 239000000126 substance Substances 0.000 claims description 11
- 230000001133 acceleration Effects 0.000 claims description 6
- 230000005484 gravity Effects 0.000 claims description 3
- 239000007787 solid Substances 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 238000011089 mechanical engineering Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V8/00—Prospecting or detecting by optical means
- G01V8/10—Detecting, e.g. by using light barriers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention discloses a method for calculating an infrared scene numerical value in an accumulated snow environment, which comprises the following steps of: calculating the landing speed vector of the snowflakes; calculating the snow cover thickness in the scene based on the speed vector of the snowfall; calculating the infrared radiation brightness of the scene according to the snow cover thickness in the scene; and generating an infrared simulation image according to the infrared radiation brightness of the scene. The method aims to accurately calculate the snow cover condition of the scene surface through the ray tracing technology, so that the infrared scene radiation characteristic can be accurately calculated.
Description
Technical Field
The invention relates to the technical field of infrared scene simulation, in particular to an infrared scene numerical calculation method in an accumulated snow environment.
Background
With the wide application of infrared detection technology and infrared imaging guided weapons in informatization battlefields, modern wars increasingly pay more attention to detection, identification and attack through infrared characteristics of targets and backgrounds. In order to research the infrared radiation characteristics of snow, researchers provide several methods for calculating the infrared radiation characteristics in the snow environment, one method is to synthesize a ground target into an infrared image of the snow, but the method is only simple image superposition; one is based on a calculation model of the snow surface temperature, which in turn calculates the infrared radiation. However, these methods have two drawbacks: 1) the infrared radiation characteristic of the whole scene cannot be calculated comprehensively, so that distortion is caused; 2) the snow cover condition in the scene cannot be accurately calculated, and infrared radiation errors are large. In the article of 'infrared radiation calculation and application of snow surface' published journal paper by researchers of mechanical engineering department of armored forces engineering academy of sciences, a temperature calculation model of snow surface is established based on a thermal equilibrium equation, infrared radiation brightness is calculated according to temperature, and then infrared image simulation is carried out. The method is relatively accurate in calculating the temperature of the snow, but cannot accurately calculate the snow coverage condition in the scene, so that the calculated infrared radiation error is large.
The infrared scene numerical calculation method under the snow accumulation environment calculates the snow covered condition of the scene surface through the environment parameters, selects different material attributes, further calculates the infrared radiation brightness of the scene under the snow accumulation environment, and generates the infrared simulation image. The infrared scene calculation under the snow accumulation environment has great significance for research on the aspects of infrared target characteristic simulation, infrared camouflage/stealth effect evaluation, infrared target identification and the like. In order to accurately calculate the infrared radiation characteristic of a scene under a snow environment, researchers provide a calculation model of the surface temperature of the snow, and a basis is provided for infrared scene simulation, however, the method has certain limitations: the snow cover conditions of different parts in a scene under the influence of factors such as wind speed and wind direction cannot be accurately considered, so that the calculation error is large, and the description of a real battlefield environment is not met.
Disclosure of Invention
Aiming at the problem that the snow cover situation in a scene cannot be accurately calculated in the prior art, the invention provides the infrared scene numerical value calculation method in the snow environment.
The invention discloses a method for calculating an infrared scene numerical value in an accumulated snow environment, which comprises the following steps of:
step 1: calculating the landing speed vector of the snowflakes;
step 2: calculating the snow cover thickness in the scene based on the speed vector of the snowfall;
and 3, step 3: calculating scene infrared radiation brightness according to the snow cover thickness in the scene;
and 4, step 4: and generating an infrared simulation image according to the infrared radiation brightness of the scene.
Further, the step 1 comprises:
step 11: obtaining a wind speed vector under a scene coordinate system according to the direction and the size of the wind speed in the scene;
step 12: calculating a speed vector of the snowflakes falling to the ground at the current moment according to the gravity acceleration, the air resistance coefficient, the diameters of the snowflakes, the mass of the snowflakes and the time interval;
step 13: and (4) calculating the speed vector of snowfall at the current moment in the absence of wind, and combining the speed vector of the snowfall in the scene synthesized by the wind speed under the scene coordinate system in the step 11.
Further, the step 11 includes:
assume that the direction of the wind speed in the scene is
The wind speed is
Calculating a wind speed vector under the scene coordinate system by the following formula:
wherein, the first and the second end of the pipe are connected with each other,
is the wind speed vector in the scene coordinate system,
、
、
the wind speed in the x-axis direction, the wind speed in the y-axis direction and the wind speed in the z-axis direction are respectively.
Further, the step 12 includes:
assuming a gravitational acceleration of
The air resistance is a number
The diameter of the snowflake is
The snowflakes have the mass of
At a time interval of
Calculating the speed vector of the snowflake falling to the ground at the current moment by using the following formula:
wherein the content of the first and second substances,
is composed of
The falling speed of the snow at the moment,
in order to be the initial speed of the vehicle,
is subject to
Are evenly distributed among them.
Further, the step 13 includes:
calculating the speed of snowfall at the current moment in absence of wind by the following formula:
wherein the content of the first and second substances,
the speed of snowfall at the current moment when no wind exists;
the speed vector of the snowfall in the scene is obtained through the following formula:
wherein the content of the first and second substances,
the velocity vector when a snowflake lands in a scene is unitized.
Further, the step 2 comprises:
step 21: on the basis of the regular icosahedron, each edge of 30 edges of the regular icosahedron is trisected, and a trisection point of each edge is taken to intercept an angle to obtain an truncated icosahedron with 60 vertexes and 32 faces;
step 22: respectively connecting the body center point of the truncated icosahedron with 60 vertexes and 32 surface centers to obtain 92 direction vectors, unitizing the direction vectors and storing the direction vectors in a vector array with the length of 92
；
Step 23: the inverse direction of snowflake landing is regarded as the direction of tracing ray, and ray tracing technology and array are utilized
Setting a threshold value, and calculating a snow factor function in a scene;
step 24: and calculating the snow thickness of the surface unit of the intersection surface of the ray and the scene according to the average snowing thickness.
Further, the step 23 includes:
recording the negative vector of the speed direction when the snowflakes land and the second of 92 direction vectors formed by the truncated icosahedron
Cosine of the angle of each vector is
Solid angle formed by stretching in the direction of speed of snow falling
The threshold value is
Within this range is
The number of direction vectors of
Then snow factor function in scene
The calculation is as follows:
wherein the content of the first and second substances,
unit normal vector and scene coordinate system of snowflake landing surface
Cosine of the angle formed by the axes, if
Then, then
。
Further, the step 24 includes:
average snow thickness in a scene
The accumulated snow thickness of the surface unit of the intersection surface of the ray and the scene is given by the configuration file
。
Further, the step 3 comprises:
step 31: judging the infrared property of the material of the scene surface according to the accumulated snow thickness of the surface unit;
step 32: and calculating the infrared radiation brightness of the infrared attribute of the material on the scene surface according to the Planck formula.
Further, the step 31 includes:
thickness of accumulated snow on dough units
If the unit is snow-free, the infrared property of the material on the surface of the scene is the original infrared property of the material of the unit;
thickness of accumulated snow on dough units
And the infrared property of the material on the surface of the scene is the infrared property of the snow material.
Due to the adoption of the technical scheme, the invention has the following advantages: the method for calculating the snow cover condition of the scene surface comprises the steps of calculating the snow falling direction, constructing a snow factor function by using the spherical normal of 92 directions of a truncated icosahedron, calculating the snow thickness of each surface element by using a ray tracing technology to obtain more accurate snow cover condition of the infrared scene, selecting infrared material attributes of different materials according to snow coverage to calculate the infrared radiation value of a pixel, and calculating the infrared radiation value of the pixel according to the attribute of the pixel
The infrared simulation image is output according to the resolution ratio, and the accurate and high-resolution infrared radiation simulation image in the snow accumulation scene is obtained. The method can effectively reduce the infrared simulation error caused by the snow cover condition and improve the infrared image precision.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments described in the embodiments of the present invention, and it is obvious for those skilled in the art that other drawings may be obtained according to the drawings.
Fig. 1 is a schematic flow chart of a method for calculating an infrared scene value in a snow accumulation environment according to an embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the drawings and examples, it being understood that the examples described are only some of the examples and are not intended to be exhaustive. All other embodiments available to those of ordinary skill in the art are intended to be within the scope of the embodiments of the present invention.
Referring to fig. 1, the present invention provides an embodiment of a method for calculating an infrared scene value in a snow accumulation environment, which includes the following steps:
s1: calculating the landing speed vector of the snowflakes;
s2: calculating the snow cover thickness in the scene based on the speed vector of the snowfall;
s3: calculating scene infrared radiation brightness according to the snow cover thickness in the scene;
s4: and generating an infrared simulation image according to the infrared radiation brightness of the scene.
In this embodiment, S1 includes:
s11: obtaining a wind speed vector under a scene coordinate system according to the direction and the size of the wind speed in the scene;
s12: calculating the speed vector of the snowflakes falling to the ground at the current moment according to the gravity acceleration, the air resistance coefficient, the diameters of the snowflakes, the mass of the snowflakes and the time interval;
s13: and calculating the speed vector of snowfall at the current moment in the absence of wind, and combining the speed vector of the snowfall in the scene synthesized by the wind speed in the scene coordinate system in S11.
In this embodiment, S11 includes:
assume that the direction of the wind speed in the scene is
The wind speed is
Calculating a wind speed vector under a scene coordinate system by the following formula:
wherein the content of the first and second substances,
is the wind speed vector in the scene coordinate system,
、
、
the wind speed in the x-axis direction, the wind speed in the y-axis direction and the wind speed in the z-axis direction are respectively.
In this embodiment, S12 includes:
assuming a gravitational acceleration of
The air resistance is a number
Diameter of snow flakeIs composed of
The snowflakes have the mass of
At a time interval of
Calculating the speed vector of the snowflake falling to the ground at the current moment by using the following formula:
wherein the content of the first and second substances,
is composed of
The speed of fall of the snow at the moment,
in order to be the initial speed of the vehicle,
is subject to
Are evenly distributed in between.
In this embodiment, S13 includes:
calculating the speed of snowfall at the current moment in absence of wind by the following formula:
wherein the content of the first and second substances,
when there is no windThe speed of snowflake carving landing;
the speed vector of the snowfall in the scene is obtained through the following formula:
wherein, the first and the second end of the pipe are connected with each other,
the velocity vector when a snowflake lands in a scene is unitized.
In this embodiment, S2 includes:
s21: on the basis of the regular icosahedron, each edge of 30 edges of the regular icosahedron is trisected, and a trisection point of each edge is taken to intercept an angle to obtain an truncated icosahedron with 60 vertexes and 32 faces;
s22: respectively connecting the body center point of the truncated icosahedron with 60 vertexes and 32 surface centers to obtain 92 direction vectors, unitizing the direction vectors and storing the direction vectors in a vector array with the length of 92
；
S23: the inverse direction of snowflake landing is regarded as the direction of tracing ray, and ray tracing technology and array are utilized
Setting a threshold value, and calculating a snow factor function in a scene;
s24: and calculating the snow thickness of the surface unit of the intersection surface of the ray and the scene according to the average snowing thickness.
In this embodiment, S23 includes:
the negative vector of the speed direction when the snowflake lands and the second of 92 direction vectors formed by the truncated icosahedron
Cosine of the included angle of the individual vectors is
Setting a solid angle formed by stretching the snow in the direction of the speed of falling on the ground
The threshold value is
Within this range is
The number of direction vectors of
Then snow factor function in scene
The calculation is as follows:
wherein the content of the first and second substances,
unit normal vector and scene coordinate system of snowflake landing surface
Cosine of the angle formed by the axes, if
Then, then
。
In this embodiment, S24 includes:
average snow thickness in scene
Given by the configuration file, the intersection of the ray with the sceneThe thickness of the accumulated snow of the surface unit
。
In this embodiment, S3 includes:
s31: judging the infrared property of the material of the scene surface according to the accumulated snow thickness of the surface unit;
s32: and calculating the infrared radiation brightness of the infrared attribute of the material on the scene surface according to the Planck formula.
In this embodiment, S31 includes:
thickness of accumulated snow on dough units
If the unit is snow-free, the infrared property of the material on the surface of the scene is the original infrared property of the material of the unit;
thickness of accumulated snow on dough units
And the infrared property of the material on the surface of the scene is the infrared property of the snow material.
The method for calculating the snow cover condition of the scene surface comprises the steps of calculating the snow falling direction, constructing a snow factor function by using the spherical normal of 92 directions of a truncated icosahedron, calculating the snow thickness of each surface element by using a ray tracing technology to obtain more accurate snow cover condition of the infrared scene, selecting infrared material attributes of different materials according to snow coverage to calculate the infrared radiation value of a pixel, and calculating the infrared radiation value of the pixel according to the attribute of the pixel
The infrared simulation image is output according to the resolution ratio, and the accurate and high-resolution infrared radiation simulation image in the snow accumulation scene is obtained. Experimental results show that the method can effectively reduce infrared simulation errors caused by snow cover conditions and improve the infrared image precision.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. An infrared scene numerical calculation method under the snow accumulation environment is characterized by comprising the following steps:
step 1: calculating the landing speed vector of the snowflakes;
and 2, step: calculating the snow cover thickness in the scene based on the speed vector of the snowfall;
and step 3: calculating scene infrared radiation brightness according to the snow cover thickness in the scene;
and 4, step 4: and generating an infrared simulation image according to the infrared radiation brightness of the scene.
2. The method of claim 1, wherein step 1 comprises:
step 11: obtaining a wind speed vector under a scene coordinate system according to the direction and the size of the wind speed in the scene;
step 12: calculating the speed vector of the snowflakes falling to the ground at the current moment according to the gravity acceleration, the air resistance coefficient, the diameters of the snowflakes, the mass of the snowflakes and the time interval;
step 13: and (5) calculating the speed vector of snowfall at the current moment in the absence of wind, and combining the speed vector of snowfall in the scene synthesized by the wind speed under the scene coordinate system in the step 11.
3. The method according to claim 2, wherein the step 11 comprises:
assume that the direction of the wind speed in the scene is
The wind speed is
Calculating a wind speed vector under a scene coordinate system by the following formula:
wherein the content of the first and second substances,
is the wind speed vector in the scene coordinate system,
、
、
the wind speed in the x-axis direction, the wind speed in the y-axis direction and the wind speed in the z-axis direction are respectively.
4. The method of claim 3, wherein step 12 comprises:
assuming gravitational acceleration of
The air resistance is a number
The diameter of the snowflake is
The snowflakes have the mass
At a time interval of
Calculating the speed vector of the snowflake falling to the ground at the current moment by using the following formula:
wherein, the first and the second end of the pipe are connected with each other,
is composed of
The speed of fall of the snow at the moment,
in order to be the initial speed of the vehicle,
is subject to
Are evenly distributed in between.
5. The method according to claim 4, wherein the step 13 comprises:
calculating the speed of snowfall at the current moment in absence of wind by the following formula:
wherein, the first and the second end of the pipe are connected with each other,
the speed of snowfall at the current moment in absence of wind;
the speed vector of the snowfall in the scene is obtained through the following formula:
wherein the content of the first and second substances,
the velocity vector when a snowflake lands in a scene is unitized.
6. The method of claim 5, wherein the step 2 comprises:
step 21: on the basis of the regular icosahedron, each edge of 30 edges of the regular icosahedron is trisected, and a trisection point of each edge is taken to intercept an angle to obtain an truncated icosahedron with 60 vertexes and 32 faces;
step 22: respectively connecting the body center point of the truncated icosahedron with 60 vertexes and 32 surface centers to obtain 92 direction vectors, unitizing the direction vectors and storing the direction vectors in a vector array with the length of 92
；
Step 23: the inverse direction of snowflake landing is regarded as the direction of tracing ray, and ray tracing technology and array are utilized
Setting a threshold value, and calculating a snow factor function in a scene;
step 24: and calculating the snow thickness of the surface unit of the intersection surface of the ray and the scene according to the average snowing thickness.
7. The method of claim 6, wherein the step 23 comprises:
the negative vector of the speed direction when the snowflake lands and the second of 92 direction vectors formed by the truncated icosahedron
Cosine of the angle of each vector is
Setting a solid angle formed by stretching the snow in the direction of the speed of falling on the ground
The threshold value is
Within this range, the
The number of direction vectors of
Then snow factor function in scene
The calculation is as follows:
wherein the content of the first and second substances,
unit normal vector and scene coordinate system of snowflake landing surface
Cosine of the angle formed by the axes, if
Then, then
。
8. The method of claim 7, wherein step 24 comprises:
average snow thickness in scene
The accumulated snow thickness of the surface unit of the intersection surface of the ray and the scene is given by the configuration file
。
9. The method of claim 1, wherein step 3 comprises:
step 31: judging the infrared property of the material of the scene surface according to the accumulated snow thickness of the surface unit;
step 32: and calculating the infrared radiation brightness of the infrared attribute of the material on the scene surface according to the Planck formula.
10. The method of claim 9, wherein the step 31 comprises:
thickness of accumulated snow on dough units
If the unit is snow-free, the infrared attribute of the material on the surface of the scene is the original infrared attribute of the material of the unit;
thickness of accumulated snow on dough units
And the infrared property of the material on the surface of the scene is the infrared property of the snow material.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211030738.3A CN115098827B (en) | 2022-08-26 | 2022-08-26 | Infrared scene numerical value calculation method under snow accumulation environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211030738.3A CN115098827B (en) | 2022-08-26 | 2022-08-26 | Infrared scene numerical value calculation method under snow accumulation environment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115098827A true CN115098827A (en) | 2022-09-23 |
| CN115098827B CN115098827B (en) | 2022-11-08 |
Family
ID=83300049
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211030738.3A Active CN115098827B (en) | 2022-08-26 | 2022-08-26 | Infrared scene numerical value calculation method under snow accumulation environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115098827B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131312A (en) * | 2023-10-20 | 2023-11-28 | 西安电子科技大学 | Infrared scene numerical calculation method in rainy environment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007232652A (en) * | 2006-03-02 | 2007-09-13 | Fujitsu Ltd | Device and method for determining road surface condition |
| RU2460968C1 (en) * | 2011-03-22 | 2012-09-10 | Федеральное государственное бюджетное учреждение "Арктический и Антарктический научно-исследовательский институт" (ФГБУ "ААНИИ") | Method of determining depth of snow cover on ice over water bodies |
| CN104143208A (en) * | 2013-05-12 | 2014-11-12 | 哈尔滨点石仿真科技有限公司 | Real-time rendering method for large-scale realistic snowscape |
| CN109145474A (en) * | 2018-08-31 | 2019-01-04 | 北京晶品镜像科技有限公司 | A kind of infrared imaging device recon effect analogy method suitable for emulation of fighting |
| US20210065565A1 (en) * | 2019-08-27 | 2021-03-04 | International Business Machines Corporation | Remote surface condition assessment |
| CN113534297A (en) * | 2021-07-16 | 2021-10-22 | 新疆林科院森林生态研究所 | Device and method capable of accurately monitoring accumulated snow depth of forest in real time |
| CN114492006A (en) * | 2022-01-17 | 2022-05-13 | 成都众享天地网络科技有限公司 | Infrared radiation brightness calculation method for simulation |
-
2022
- 2022-08-26 CN CN202211030738.3A patent/CN115098827B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007232652A (en) * | 2006-03-02 | 2007-09-13 | Fujitsu Ltd | Device and method for determining road surface condition |
| RU2460968C1 (en) * | 2011-03-22 | 2012-09-10 | Федеральное государственное бюджетное учреждение "Арктический и Антарктический научно-исследовательский институт" (ФГБУ "ААНИИ") | Method of determining depth of snow cover on ice over water bodies |
| CN104143208A (en) * | 2013-05-12 | 2014-11-12 | 哈尔滨点石仿真科技有限公司 | Real-time rendering method for large-scale realistic snowscape |
| CN109145474A (en) * | 2018-08-31 | 2019-01-04 | 北京晶品镜像科技有限公司 | A kind of infrared imaging device recon effect analogy method suitable for emulation of fighting |
| US20210065565A1 (en) * | 2019-08-27 | 2021-03-04 | International Business Machines Corporation | Remote surface condition assessment |
| CN113534297A (en) * | 2021-07-16 | 2021-10-22 | 新疆林科院森林生态研究所 | Device and method capable of accurately monitoring accumulated snow depth of forest in real time |
| CN114492006A (en) * | 2022-01-17 | 2022-05-13 | 成都众享天地网络科技有限公司 | Infrared radiation brightness calculation method for simulation |
Non-Patent Citations (4)
| Title |
|---|
| ZHU WANG: "Real-time Simulation of Infrared Scene", 《IEEE》 * |
| 季新杰 等: "巡航导弹排气系统红外辐射数值模拟", 《激光与红外》 * |
| 李长春 等: "基于FY3B-MWRI数据新疆区域积雪深度反演", 《遥感技术与应用》 * |
| 郑坤鹏: "雪地表面的红外辐射计算及应用", 《科技信息》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131312A (en) * | 2023-10-20 | 2023-11-28 | 西安电子科技大学 | Infrared scene numerical calculation method in rainy environment |
| CN117131312B (en) * | 2023-10-20 | 2024-01-26 | 西安电子科技大学 | Infrared scene numerical calculation method in rainy environment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115098827B (en) | 2022-11-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106354152B (en) | A kind of reentry trajectory optimum design method of pair of radial pattern no-fly zone | |
| US9285460B2 (en) | Method and system for estimating information related to a vehicle pitch and/or roll angle | |
| CN104050716B (en) | A kind of marine multiple target SAR image visual modeling method | |
| CN111609760B (en) | Intelligent sighting telescope shooting time determination method and system | |
| CN115098827B (en) | Infrared scene numerical value calculation method under snow accumulation environment | |
| CN101114022A (en) | Navigation multiple spectrum scanner geometric approximate correction method under non gesture information condition | |
| CN109724586B (en) | Spacecraft relative pose measurement method integrating depth map and point cloud | |
| CN108107434B (en) | Regional three-dimensional wind field picture splicing method based on double-Doppler radar inversion | |
| CN103453806A (en) | Projectile nutation angle extraction method based on radar Doppler data | |
| CN103869708A (en) | Complex infrared environment modeling method supporting multispectral engagement level simulation | |
| CN116012377B (en) | Unmanned aerial vehicle virtual observation image generation and positioning method based on satellite map | |
| CN110488871A (en) | A kind of unmanned plane path dynamic programming method based on two three-dimensional integratedization | |
| CN113902663A (en) | Air small target dynamic infrared simulation method and device capable of automatically adapting to weather | |
| CN111462182B (en) | Trajectory missile three-dimensional trajectory estimation method based on infrared early warning image | |
| CN109211960A (en) | A kind of dense city building scene thermal emission directionality strength calculation method | |
| CN117131312B (en) | Infrared scene numerical calculation method in rainy environment | |
| CN113076634B (en) | Multi-machine cooperative passive positioning method, device and system | |
| CN103743488A (en) | Infrared imaging simulation method for globe limb background characteristics of remote sensing satellite | |
| CN110992399B (en) | High-precision target atmosphere disturbance detection method | |
| CN112329627A (en) | High-altitude throwing object distinguishing method | |
| CN116187217A (en) | Unmanned aerial vehicle intelligent algorithm learning training platform construction method based on parallel simulation | |
| Zhang et al. | A stereo photogrammetry system for model position and attitude measurement in hypersonic wind tunnel testing | |
| CN115808246A (en) | Space normalization method for observation temperature of remote sensing thermal infrared sensor | |
| CN109708668A (en) | Line of sight measurement error range determining method and its device for video satellite | |
| CN112927294B (en) | Satellite orbit and attitude determination method based on single sensor |
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 |