WO2015089896A1 - 一种遥感扫描成像平台飞行速度的优化方法 - Google Patents
一种遥感扫描成像平台飞行速度的优化方法 Download PDFInfo
- Publication number
- WO2015089896A1 WO2015089896A1 PCT/CN2014/000623 CN2014000623W WO2015089896A1 WO 2015089896 A1 WO2015089896 A1 WO 2015089896A1 CN 2014000623 W CN2014000623 W CN 2014000623W WO 2015089896 A1 WO2015089896 A1 WO 2015089896A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- point
- remote sensing
- distance
- platform
- remotely
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D13/00—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover
- G05D13/02—Details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D13/00—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover
- G05D13/62—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover characterised by the use of electric means, e.g. use of a tachometric dynamo, use of a transducer converting an electric value into a displacement
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
Definitions
- the invention relates to the technical field of remote sensing detection, in particular to an optimization method for flight speed of a remote sensing scanning imaging platform.
- Remote sensing detection technology is based on the theory of electromagnetic waves. It uses a variety of sensing instruments to collect, process, and finally image the electromagnetic wave information radiated and reflected from distant targets, thus detecting and identifying various scenes on the ground. Comprehensive technology. Using remote sensing technology, maps can be mapped at high speed and with high quality.
- the methods of remote sensing imaging include photographic imaging and scanning imaging. The scanning imaging method requires the remote sensing scanning platform to carry a remote sensing camera to fly over the imaging area at a certain relative speed. In order to prevent distortion of the geometrical dimensions of the target in the remotely scanned image, the flight speed of the remote sensing imaging platform needs to be calibrated. literature
- Integrated calibration method for agricultural product scanning hyperspectral imaging system Journal of Agricultural Engineering, 2012, Vol. 28, No. 14, pp. 244-249 discloses a method for calibrating scanning speed and rail offset correction, thereby Ensure the accuracy of the imaging data. Since the method uses a specific calibration plate to correct the image acquisition system, in the remote sensing scan imaging process, the scanning speed cannot be calculated in a similar manner.
- the present invention proposes an optimization method for the flight speed of a remote sensing scanning imaging platform to solve the above problems.
- the object of the present invention is to provide an optimization method for the flight speed of a remote sensing scanning imaging platform, so as to realize high-precision remote sensing scanning imaging of ground targets.
- a method for optimizing flight speed of a remote sensing scanning imaging platform comprising the following steps: Step one, selecting a reference point: selecting points A and B on the ground as reference points, wherein point A and
- the distance between point B is L AB kilometers; the center point of the line connecting point A and point B is selected as the reference point C; the point D is selected as another reference point, so that the line CD of point D and point C is perpendicular
- the line AB between point A and point B, and the distance between point D and point C is L CD kilometers;
- Step 2 acquiring and processing data of the remote sensing scanned image in the reference point area
- Step 3 Optimize the flight speed of the remote sensing scanning imaging platform.
- the acquisition and data processing of the remote sensing scan image in the reference point area in the second step is further specifically: using the remote sensing scanning platform to carry the remote sensing image to obtain the remote sensing images A', B', CD of the reference points A, B, C and D at the moving speed V ' ; Calculate the distance between A" and ⁇ in the remote sensing image as 1 ⁇ 2 pixel, and the distance between C' and D is a pixel.
- the optimization of the flight speed of the step 3 remote sensing scanning imaging platform is further as follows: using the remote sensing scanning platform moving speed V, the distance between A' and B' in the remote sensing image is 1 ⁇ 2 s; i , the distance between CT and D is L e , A The distance between point and point B is L AB , and the distance between point D and point C is L CD .
- the optimal moving speed of the moving speed of the remote sensing scanning platform is calculated.
- the present invention has a beneficial effect. By optimizing the moving speed of the remote sensing mobile platform, the invention can prevent the geometrical size of the target in the remote sensing scanning image from being distorted, thereby obtaining a high-precision remote sensing image of the ground target.
- Figure 1 is a flow chart of the present invention
- Figure 2 is a schematic diagram of reference points eight, B, C and D;
- FIG. 3 is a schematic diagram of reference points VIII, B, C, and D in corresponding points A', B T and in the remote sensing image;
- the method for optimizing the flight speed of the remote sensing scanning imaging platform comprises the following steps: Step 1: Selecting a reference point;
- Step 2 acquiring and processing data of the remote sensing scanned image in the reference point area
- Step 3 Optimizing the flight speed of the remote sensing scanning imaging platform
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Geometry (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Optical Radar Systems And Details Thereof (AREA)
- Studio Devices (AREA)
- Image Processing (AREA)
Abstract
一种遥感扫描成像平台飞行速度的优化方法,包括参考点的选取;参考点区域遥感扫描图像的获取和数据处理;遥感扫描平台飞行速度的优化。该方法通过对遥感移动平台移动速度的优化,能够防止遥感扫描图像中目标的几何尺寸发生畸变,进而得到地面目标的高精度遥感图像,可应用于机载、星载遥感图像。
Description
一种遥感扫描成像平台飞行速度的优化方法 技术领域
本发明涉及遥感检测技术领域, 尤其涉及一种遥感扫描成像平台飞行速度的 优化方法。
背景技术
遥感检测技术是是根据电磁波的理论,应用各种传感仪器对远距离目标所辐 射和反射的电磁波信息, 进行收集、 处理, 并最后成像, 从而对地面各种景物进 行探测和识别的一种综合技术。利用遥感技术,可以高速度、高质量地测绘地图。 遥感成像的方式有摄影成像和扫描成像,其中扫描成像方式要求遥感扫描平台携 带遥感相机以一定的相对速度勾速的飞过成像区域的上空。为了防止遥感扫描图 像中目标的几何尺寸发生畸变,需要对遥感成像平台的飞行速度进行标定。文献
"农产品扫描高光谱成像系统的集成标定方法"(《农业工程学报》, 2012年第 28 卷第 14期, 第 244-249页) 公开了一种标定扫描速度和导轨偏移校正的方法, 从而确保成像数据的准确性。由于该方法采用特定的校正板对图像采集系统进行 校正, 而在遥感扫描成像过程中, 无法采用类似的方式对扫描速度进行计算。
鉴于此, 本发明提出一种遥感扫描成像平台飞行速度的优化方法以解决上述 问题。
发明内容
本发明的目的在于提供一种遥感扫描成像平台飞行速度的优化方法, 以实现 对地面目标进行高精度遥感扫描成像。
为了解决以上技术问题, 本发明釆用的具体技术方案如下:
一种遥感扫描成像平台飞行速度的优化方法, 其特征在于包含以下步骤: 步骤一, 参考点的选取: 在地面选取 A点和 B点作为参考点, 其中 A点和
B点之间的距离为 LAB千米; 选取 A点和 B点之间连线的中心点作为参考点 C; 选取 D点作为另一参考点,使得 D点和 C点的连线 CD垂直于 A点和 B点之间 的连线 AB, 且 D点和 C点之间的距离为 LCD千米;
步骤二, 参考点区域遥感扫描图像的获取和数据处理;
步骤三, 遥感扫描成像平台飞行速度的优化。
所述步骤二参考点区域遥感扫描图像的获取和数据处理进一步具体为: 利用 遥感扫描平台携带遥感相机以移动速度 V获取参考点 A、 B、 C和 D的遥感图像 A'、B'、C D';计算遥感图像中 A"和 ^的距离为 ½ 个像素点, C '和 D 距离为 个像素点。
所述步骤三遥感扫描成像平台飞行速度的优化进一步具体为: 利用遥感扫描 平台移动速度 V、 遥感图像中 A'和 B'的距离为 ½s;i, CT和 D的距离为 Le , A点 和 B点之间的距离为 LAB, D点和 C点之间的距离为 LCD, 计算出遥感扫描平台 移动速度的优化移动速度 , 计算公式为 V» = ¥* « s。 本发明具有有益效果。 本发明通过对遥感移动平台移动速度的优化, 能够防 止遥感扫描图像中目标的几何尺寸发生畸变,进而得到地面目标的高精度遥感图 像。
附图说明
图 1为本发明的流程图;
图 2为参考点八、 B、 C和 D的示意图;
图 3为参考点八、 B、 C和 D在遥感图像中对应点 A'、 B T和 的示意图; 具体实施方式
以下将结合附图和具体实施方式对本发明进行详细描述。但这些实施方式并 不限制本发明, 本领域的普通技术人员根据这些实施方式所做出的结构、 方法、 或功能上的变换均包含在本发明的保护范围内。
如图 1所示,所述一种遥感扫描成像平台飞行速度的优化方法包含以下步骤, 步骤一、 参考点的选取;
步骤二、 参考点区域遥感扫描图像的获取和数据处理;
步骤三、 遥感扫描成像平台飞行速度的优化;
如图 2所示, 所述步骤一参考点的选取, 其特征在于: 在地面选取 A点和 B 点作为参考点, 其中 A点和 B点之间的距离为 LAB=100千米; 选取 A点和 B点 之间连线的中心点作为参考点 C; 选取 D点作为另一参考点, 使得 D点和 C点 的连线 CD垂直于 A点和 B点之间的连线 AB, 且 D点和 C点之间的距离为
LCD=10000千米;
如图 3所示, 所述步骤二参考点区域遥感扫描图像的获取和数据处理, 其特 征在于: 利用遥感扫描平台携带遥感相机以移动速度 V=120 KM/H获取参考点
A、B、C和 D的遥感图像 A'、B'、dt]D';计算遥感图像中 A'和^的距离为1^ ^1200 个像素点, €, 的距离为½ .=114000个像素点;
所述步骤三遥感扫描成像平台飞行速度的优化, 其特征在于: 利用 V=120 KM/H、 LA¾F1200个像素点, Lei>Fl l4000个像素点, LAB=100KM, LCD= 10000
KM, 计算出遥感扫描平台移动速度的优化移动速度 V - V„ —1 M
Claims
权利要求
1,一种遥感扫插慮像平台飞 Ιϊ違度 优化方法, 其特征在于包含 下歩骤: 歩骤一, 参考点的选取: 在地面选取 Α点靡 Β点作为参考点, 其中 A点和 B点之间 W距离为 LAB千米; 逸取 A点和 B点之间连线的中 点作为参考点 C; 逢取 D点作为另一参考点,使得 Ό点和 C点翁连线 CD垂宣予 A点靡 B点之阔 的连载 AB, 且 D点和 C点之间諭距离为 LCD千米;
歩骤二, 参考点区域疆感扫纖 B像的获取 数掘处理;
歩骤三, 遥感 t3權成像平台飞行速度 ttftfte
2-根据权利要求 1所述的一种遥感扫描成像平台飞行速度的优化方法,其特 征在于所述歩骤二参考 ώ区域 *感扫描圉像》获取和数据处理迸一歩具傳为:利 用遥感扫描平台携带遥感相机以移动速度 V获取参考点 A、 B、 C和 D的遥感图 像 A'、 B C和 D'; i†算遥感图像中 A'和 的距离为 LA. 个像素点, €,D'«距离 为!^¾.个像素点。
3.根据 ft利要求 1所述》—种遥感扫 *成像平台飞行速度的 ftft方法,其特 征在于所述歩骤三遥慼 a摇成像平台飞 ft速度翁优 纖一步具体为 利用遥感扫 描平台移动速度 ^、 遥感 B像中 A'»B¾|距离为 ½Β , <Τ和 D W距离为 Le , A 点和 B点之间的距离为 L«, D点和 C 之闽的距离为 LCD, 计算出遥感扫描平 台移动速度购优化穆动速度 V, 计算公式 ¾ ¥» · ^ ^^ β
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/037,646 US9778663B2 (en) | 2013-12-20 | 2014-06-25 | Method for optimizing flight speed of remotely-sensed scan imaging platform |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310715095.0A CN103646384B (zh) | 2013-12-20 | 2013-12-20 | 一种遥感扫描成像平台飞行速度的优化方法 |
| CN201310715095.0 | 2013-12-20 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2015089896A1 true WO2015089896A1 (zh) | 2015-06-25 |
Family
ID=50251594
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2014/000623 Ceased WO2015089896A1 (zh) | 2013-12-20 | 2014-06-25 | 一种遥感扫描成像平台飞行速度的优化方法 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US9778663B2 (zh) |
| CN (1) | CN103646384B (zh) |
| WO (1) | WO2015089896A1 (zh) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103646384B (zh) * | 2013-12-20 | 2016-06-22 | 江苏大学 | 一种遥感扫描成像平台飞行速度的优化方法 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003083745A (ja) * | 2001-09-12 | 2003-03-19 | Starlabo Corp | 航空機搭載撮像装置および航空撮像データ処理装置 |
| US20080050012A1 (en) * | 2006-08-22 | 2008-02-28 | Nec Toshiba Space Systems, Ltd. | Image processing method, image processing apparatus, image processing program and program recording medium |
| CN102004250A (zh) * | 2010-10-28 | 2011-04-06 | 电子科技大学 | 基于频域展开的星机联合双基地合成孔径雷达成像方法 |
| US20110101239A1 (en) * | 2008-05-08 | 2011-05-05 | Iain Woodhouse | Remote sensing system |
| CN102298070A (zh) * | 2010-06-22 | 2011-12-28 | 鹦鹉股份有限公司 | 估算无人机,尤其是能够在自动驾驶下执行悬停飞行的无人机的水平速度的方法 |
| CN103646384A (zh) * | 2013-12-20 | 2014-03-19 | 江苏大学 | 一种遥感扫描成像平台飞行速度的优化方法 |
Family Cites Families (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3419329A (en) * | 1964-01-02 | 1968-12-31 | Nasa Usa | Combined optical attitude and altitude indicating instrument |
| US3412375A (en) * | 1966-09-16 | 1968-11-19 | Gen Electric | Doppler shift aircraft landing aid and method |
| US3525568A (en) * | 1967-12-11 | 1970-08-25 | Marc G Dreyfus | Airborne electro-optical systems and apparatus for indicating true aircraft velocity and altitude |
| US5475393A (en) * | 1993-10-04 | 1995-12-12 | Heinzerling; Edward W. | Precision landing system |
| JP2743905B2 (ja) * | 1996-02-28 | 1998-04-28 | 日本電気株式会社 | 監視空間通過検出装置 |
| US6239745B1 (en) * | 1999-07-30 | 2001-05-29 | Rockwell Collins, Inc. | Satellite landing system having instrument landing system look alike guidance |
| US6592465B2 (en) * | 2001-08-02 | 2003-07-15 | Acushnet Company | Method and apparatus for monitoring objects in flight |
| TWI231702B (en) * | 2004-01-16 | 2005-04-21 | Univ Nat Taiwan Science Tech | Segment based image registration method |
| IL163565A (en) * | 2004-08-16 | 2010-06-16 | Rafael Advanced Defense Sys | Airborne reconnaissance system |
| US20070188610A1 (en) * | 2006-02-13 | 2007-08-16 | The Boeing Company | Synoptic broad-area remote-sensing via multiple telescopes |
| US9262818B2 (en) * | 2007-05-01 | 2016-02-16 | Pictometry International Corp. | System for detecting image abnormalities |
| FR2925712B1 (fr) * | 2007-12-21 | 2010-01-01 | Thales Sa | Procede pour l'aide a l'atterrissage d'aeronef utilisant un gps et un mls dans le cadre d'une approche axiale calculee. |
| JP4970296B2 (ja) * | 2008-01-21 | 2012-07-04 | 株式会社パスコ | オルソフォト画像の生成方法、および撮影装置 |
| US8497905B2 (en) * | 2008-04-11 | 2013-07-30 | nearmap australia pty ltd. | Systems and methods of capturing large area images in detail including cascaded cameras and/or calibration features |
| US8675068B2 (en) * | 2008-04-11 | 2014-03-18 | Nearmap Australia Pty Ltd | Systems and methods of capturing large area images in detail including cascaded cameras and/or calibration features |
| WO2010134502A1 (ja) * | 2009-05-18 | 2010-11-25 | 小平アソシエイツ株式会社 | 画像情報出力方法 |
| EP2253932A1 (de) * | 2009-05-19 | 2010-11-24 | Leica Geosystems AG | Luftbildkamera-System und Verfahren zum Korrigieren von Verzerrungen in einer Luftbildaufnahme |
| IL201682A0 (en) * | 2009-10-22 | 2010-11-30 | Bluebird Aero Systems Ltd | Imaging system for uav |
| CN101858743B (zh) * | 2010-06-04 | 2012-02-29 | 西安天和防务技术股份有限公司 | 基于大视场摄像及图像处理的测距装置及其方法 |
| US8477190B2 (en) * | 2010-07-07 | 2013-07-02 | Pictometry International Corp. | Real-time moving platform management system |
| CA2872841C (en) * | 2011-05-09 | 2019-08-06 | Catherine Grace Mcvey | Image analysis for determining characteristics of animals and humans |
| JP5882693B2 (ja) * | 2011-11-24 | 2016-03-09 | 株式会社トプコン | 航空写真撮像方法及び航空写真撮像装置 |
| CA2780419A1 (en) * | 2011-06-17 | 2012-12-17 | National Cheng Kung University | Unmanned aerial vehicle image processing system and method |
| US9188676B2 (en) * | 2012-08-15 | 2015-11-17 | Digital Signal Corporation | System and method for detecting a face contour using a three-dimensional measurement system |
| CN103400345A (zh) * | 2013-07-18 | 2013-11-20 | 西南交通大学 | 一种降低tdi-ccd相机图像模糊度的方法 |
| US9052571B1 (en) * | 2014-06-20 | 2015-06-09 | nearmap australia pty ltd. | Wide-area aerial camera systems |
| US9185290B1 (en) * | 2014-06-20 | 2015-11-10 | Nearmap Australia Pty Ltd | Wide-area aerial camera systems |
-
2013
- 2013-12-20 CN CN201310715095.0A patent/CN103646384B/zh active Active
-
2014
- 2014-06-25 WO PCT/CN2014/000623 patent/WO2015089896A1/zh not_active Ceased
- 2014-06-25 US US15/037,646 patent/US9778663B2/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003083745A (ja) * | 2001-09-12 | 2003-03-19 | Starlabo Corp | 航空機搭載撮像装置および航空撮像データ処理装置 |
| US20080050012A1 (en) * | 2006-08-22 | 2008-02-28 | Nec Toshiba Space Systems, Ltd. | Image processing method, image processing apparatus, image processing program and program recording medium |
| US20110101239A1 (en) * | 2008-05-08 | 2011-05-05 | Iain Woodhouse | Remote sensing system |
| CN102298070A (zh) * | 2010-06-22 | 2011-12-28 | 鹦鹉股份有限公司 | 估算无人机,尤其是能够在自动驾驶下执行悬停飞行的无人机的水平速度的方法 |
| CN102004250A (zh) * | 2010-10-28 | 2011-04-06 | 电子科技大学 | 基于频域展开的星机联合双基地合成孔径雷达成像方法 |
| CN103646384A (zh) * | 2013-12-20 | 2014-03-19 | 江苏大学 | 一种遥感扫描成像平台飞行速度的优化方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| US20160299513A1 (en) | 2016-10-13 |
| CN103646384A (zh) | 2014-03-19 |
| CN103646384B (zh) | 2016-06-22 |
| US9778663B2 (en) | 2017-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110807809B (zh) | 基于点线特征和深度滤波器的轻量级单目视觉定位方法 | |
| CN103869296B (zh) | 一种基于成像面表征的极化sar地形辐射校正和几何纠正方法 | |
| CN107144241B (zh) | 一种基于景深补偿的双目视觉高精度测量方法 | |
| CN101852623B (zh) | 一种卫星光学遥感相机内方元素在轨检校方法 | |
| CN109597040B (zh) | 一种星载sar影像无场几何定标方法 | |
| CN109752696B (zh) | 一种高分辨率合成孔径雷达卫星图像中角反射器rcs校正方法 | |
| CN112541953B (zh) | 一种基于雷达信号和视频同步坐标映射的车辆检测方法 | |
| WO2020259506A1 (zh) | 一种确定摄像头的畸变参数的方法及装置 | |
| CN110645917A (zh) | 基于阵列式相机的高空间分辨率三维数字图像测量方法 | |
| TWI690694B (zh) | 用於校準光強度的系統和方法 | |
| CN110986998B (zh) | 一种基于有理函数模型的卫星视频相机在轨几何定标方法 | |
| CN103322984B (zh) | 基于视频图像的测距、测速方法及装置 | |
| CN112946609B (zh) | 激光雷达与相机的标定方法、装置、设备及可读存储介质 | |
| CN111508028A (zh) | 光学立体测绘卫星相机的自主在轨几何定标方法及系统 | |
| CN106780391A (zh) | 一种用于全视角三维测量仪光学系统的畸变矫正算法 | |
| CN111538008A (zh) | 变换矩阵确定方法、系统及装置 | |
| CN110515092B (zh) | 基于激光雷达的平面触摸方法 | |
| CN110992429B (zh) | 一种单一场景大视场相机外参数标定方法 | |
| CN102073038A (zh) | 基于微小地形的遥感影像的地形校正的方法 | |
| CN105717511A (zh) | 基于线束激光器和普通摄像头芯片的多点测距装置及方法 | |
| CN102538764A (zh) | 一种复合式像对立体定位方法 | |
| CN104156974A (zh) | 基于多重约束的摄像机畸变标定方法 | |
| CN116224255A (zh) | 一种基于雷达数据的相机检测数据校准方法及系统 | |
| CN105403886B (zh) | 一种机载sar定标器图像位置自动提取方法 | |
| WO2015089896A1 (zh) | 一种遥感扫描成像平台飞行速度的优化方法 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 14872057 Country of ref document: EP Kind code of ref document: A1 |
|
| WWE | Wipo information: entry into national phase |
Ref document number: 15037646 Country of ref document: US |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 14872057 Country of ref document: EP Kind code of ref document: A1 |