CN204154389U - The micro-unmanned airborne multi-optical spectrum imaging system in a kind of low latitude - Google Patents
The micro-unmanned airborne multi-optical spectrum imaging system in a kind of low latitude Download PDFInfo
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- CN204154389U CN204154389U CN201420569492.1U CN201420569492U CN204154389U CN 204154389 U CN204154389 U CN 204154389U CN 201420569492 U CN201420569492 U CN 201420569492U CN 204154389 U CN204154389 U CN 204154389U
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Abstract
The utility model discloses the micro-unmanned airborne multi-optical spectrum imaging system in a kind of low latitude, comprise rotary wind type unmanned aerial vehicle and multichannel light spectrum imaging system, the rotor of rotary wind type unmanned aerial vehicle is by the surrounding of support installing in fuselage, and multichannel light spectrum imaging system is equipped on the below of fuselage by carry device; Multichannel light spectrum imaging system comprises and carries out the multispectral passage simultaneously multichannel sensor subsystem of imaging and the multichannel image acquisition and recording subsystem for storing, recording, process, analyze data to target; Under the control of multichannel image acquisition and recording subsystem, hyperchannel sensor-based system once can gather the two-dimensional space view data of multiple different wave length, form 3 d image data cube, the spectrum picture obtained is easy to calibration, decreases the requirement to carrying platform stability and High Accuracy Inertial Navigation System; Multi-optical spectrum imaging system spectrum channel adjustable, can set special spectral centroid wavelength and bandwidth as required.
Description
Technical field
The utility model relates to the micro-unmanned airborne multi-optical spectrum imaging system in a kind of low latitude, belongs to UAV system spectral imaging technology field.
Background technology
In agricultural resource investigation and monitoring, disaster and pest and disease monitoring, crops planting area and output, Growing state survey, and in the area research such as agricultural environment detection management, traditional spectral imaging analysis instrument is not only expensive, bulky, and need professional and technical personnel to operate, testing cost also costly, is not suitable for large-scale monitoring.And aerial remote sens ing technique is as the technology of taking photo by plane, there is extremely strong maneuverability, dirigibility and practicality, less expensive, various monitoring can be carried out easily.But whether the traditional aerial remote sens ing technique such as technology of taking photo by plane can only the appearance features of shooting and monitoring target occur as the depth of seawater, disease and pest, even if collect picture of taking photo by plane, is also difficult to by naked eyes distinguish one from the other pollution condition or disease and pest situation.
And spectral imaging technology is applied to airborne remote sensing field, by light spectrum image-forming remote sensing system, pollution or disease generation area can be taken accurately, can also detect dynamically pollution range and pollution condition.Current airborne remote sensing spectrum imaging system is mainly there to be people's airborne platform, but weather conditions are very large on there being the impact of rising and falling and fly of people's aircraft, and the high request for external environmental condition limits the application of the airborne spectral imaging technology of people.
Require higher to the dead weight capacity of UAV system platform, stability and attitude measurement system precision etc., current domestic application is fewer in the spectrum imaging system of UAV system platform, mainly fixed-wing unmanned aerial vehicle, this fixed-wing UAV system takes off and lands needs special help-fly structure, and digging out process extremely bothers.And rotor wing unmanned aerial vehicle, some volumes, weight are larger; Some price comparisons is expensive, although have small, load-carrying light, the stationarity of flight and ease for operation extreme difference, imaging is inaccurate, not easily calibrates.
Summary of the invention
Technical problem to be solved in the utility model is for the deficiencies in the prior art, and provide a kind of low latitude micro-unmanned airborne multi-optical spectrum imaging system, be airborne platform with miniature rotary wind type unmanned aerial vehicle, carry multichannel light spectrum imaging system and form micro-unmanned airborne multi-optical spectrum imaging system; Native system has microminiaturization, light-weighted feature, and the weight of multichannel light spectrum imaging system own is less than 1KG; Spectrum channel can adjust, and sets peculiar spectrum centre wavelength and bandwidth as required, once takes imaging and can obtain high-resolution spectral image data cube; Native system cost is low, and imaging is accurate, and flight stability, can carry out the remote sensing work such as disaster, industrial or agricultural resource exploration and environmental monitoring at any time.
To achieve these goals, the utility model is achieved through the following technical solutions:
The micro-unmanned airborne multi-optical spectrum imaging system in a kind of low latitude, it is characterized in that, comprise rotary wind type unmanned aerial vehicle and multichannel light spectrum imaging system, described multichannel light spectrum imaging system comprises and carries out the multispectral passage simultaneously multichannel sensor subsystem of imaging and the multichannel image acquisition and recording subsystem for storing, recording, process, analyze data to target; Under the control of multichannel image acquisition and recording subsystem, hyperchannel sensor-based system once can gather the two-dimensional space view data of multiple different wave length, form 3 d image data cube, the guidance of the work such as disaster, industrial or agricultural resource exploration and environmental monitoring can be carried out according to the image information exported after process and analysis.
The micro-unmanned airborne multi-optical spectrum imaging system in above-mentioned low latitude, rotary wind type unmanned aerial vehicle comprises fuselage and rotor, and rotor is by the surrounding of support installing in fuselage, and multichannel light spectrum imaging system is equipped on the below of fuselage by carry device; Described rotor is 4-8 group.
Above-mentioned hyperchannel sensing subsystem comprises the narrow band pass filter of multiple identical mega pixel cmos sensor, multiple identical camera lens and multiple different wave length, once can gather the two-dimensional space view data of multiple different wave length, form 3 d image data cube.
Above-mentioned multiple cmos sensors are positioned on same circuit board, and multiple identical camera lens to be arranged on this circuit board and to be placed in the front end of cmos sensor, and the narrow band pass filter of different wave length is installed in each camera lens front end.
Above-mentioned multichannel image acquisition and recording subsystem comprise for synchro control sensor arm processor and be used for storing in real time the FPGA system of sensing data, described FPGA system comprise for fast cache data SRAM and be used for the FLASH of real-time storage data.
The utility model UAV system multi-optical spectrum imaging system, adopt Micro Aerial Vehicle as carrying platform, Micro Aerial Vehicle volume is little, weight 2.5Kg, and multichannel light spectrum imaging system load is less than 1Kg, and adaptive capacity to environment is strong, can carry out remote sensing at any time; Multi-optical spectrum imaging system adopts Frame projection imaging technique, Polaroidly can obtain high-resolution spectroscopy image datacube, decreases the requirement to carrying platform stability and High Accuracy Inertial Navigation System; Multi-optical spectrum imaging system spectrum channel adjustable, can set special spectral centroid wavelength and bandwidth as required, and the spectrum picture of acquisition is easy to calibration.
Accompanying drawing explanation
Fig. 1: the micro-unmanned airborne multi-optical spectrum imaging system one-piece construction schematic diagram in the utility model low latitude;
Fig. 2: the scheme of installation of the utility model cmos sensor and camera lens;
Wherein: 1, rotor, 2, support, 3, fuselage, 4, carry device, 5, multichannel sensor subsystem, 6, multichannel image acquisition and recording subsystem, 7, cmos sensor, 8, camera lens, 9, circuit board.
Embodiment
Below in conjunction with accompanying drawing, the utility model device is described in detail.
As shown in Figure 1, the micro-unmanned airborne multi-optical spectrum imaging system in a kind of low latitude, comprises rotary wind type unmanned aerial vehicle and multichannel light spectrum imaging system, wherein, imaging system general assembly (TW) is less than 3.5Kg, and flying height reaches 500m, flight time is greater than 0.5h, and the weight of rotary wind type unmanned aerial vehicle is 2.5KG.The rotor 1 of rotary wind type unmanned aerial vehicle is installed on the surrounding of fuselage 3 by support 2, multichannel light spectrum imaging system is equipped on the below of fuselage by carry device 4, and rotor is 4-8 group, is preferably 4 groups but is not limited to 4 groups; There is in fuselage 3 rotor driving governor, comprise radio receiving transmitting module and inertial navigation system, radio receiving transmitting module is used for accepting remote control command, control rotary wind type unmanned plane during flying state, inertial navigation system is used for providing GPS and UAV Attitude information to multichannel light spectrum imaging system, so that later image calibration and process.Multichannel light spectrum imaging system comprises multichannel sensor subsystem 5 and multichannel image acquisition and recording subsystem 6, multichannel sensor subsystem carries out the imaging simultaneously of multispectral passage to target, and multichannel image acquisition and recording subsystem is used for storage, record, process, analyzes data.
Hyperchannel sensing subsystem 5 comprises the narrow band pass filter of multiple identical mega pixel cmos sensor 7, camera lens 8 and multiple different wave length, multiple cmos sensor 7 is positioned on same circuit board 9, multiple identical camera lens to be arranged on this circuit board and to be placed in the front end of cmos sensor, and the narrow band pass filter of different wave length is installed in each camera lens front end; Hyperchannel sensing subsystem once can gather the two-dimensional space view data of multiple different wave length, forms 3 d image data cube.
Multichannel image acquisition and recording subsystem 6 comprise for synchro control sensor arm processor and be used for storing in real time the FPGA system of sensing data, arm processor can adopt the STM32F407 of STMicw Electronics, but is not limited to STM32F407; FPGA system comprise for fast cache data SRAM and be used for the FLASH of real-time storage data, FPGA and adopt the spartan6 of XILINX, but be not limited to spartan6.
Under the control of multichannel image acquisition and recording subsystem, hyperchannel sensor-based system once can gather the two-dimensional space view data of multiple different wave length, form 3 d image data cube, the guidance of the work such as disaster, industrial or agricultural resource exploration and environmental monitoring can be carried out according to the image information exported after process and analysis.The utility model UAV system multi-optical spectrum imaging system, volume is little, lightweight, multichannel light spectrum imaging system own wt is less than 1Kg, and adaptive capacity to environment is strong, can carry out remote sensing at any time; Multi-optical spectrum imaging system is Polaroid can obtain high-resolution spectroscopy image datacube, and the spectrum picture of acquisition is easy to calibration, decreases the requirement to carrying platform stability and High Accuracy Inertial Navigation System; Multi-optical spectrum imaging system spectrum channel adjustable, can set special spectral centroid wavelength and bandwidth as required.
Claims (3)
1. the micro-unmanned airborne multi-optical spectrum imaging system in low latitude, comprise rotary wind type unmanned aerial vehicle and multichannel light spectrum imaging system, multichannel light spectrum imaging system comprises multichannel sensor subsystem (5) and multichannel image acquisition and recording subsystem (6), it is characterized in that, described rotary wind type unmanned aerial vehicle comprises fuselage (3) and rotor (1), 4-8 group rotor (1) is installed on the surrounding of fuselage (3) by support (2), and multichannel light spectrum imaging system is equipped on the below of fuselage by carry device (4); Described hyperchannel sensing subsystem (5) comprises the narrow band pass filter of multiple identical mega pixel cmos sensor (7), multiple identical camera lens (8) and multiple different wave length.
2. the micro-unmanned airborne multi-optical spectrum imaging system in low latitude according to claim 1, it is characterized in that, described multiple cmos sensors (7) are positioned on same circuit board (9), multiple identical camera lens (8) to be arranged on this circuit board and to be placed in the front end of cmos sensor, and the narrow band pass filter of different wave length is installed in each camera lens front end.
3. the micro-unmanned airborne multi-optical spectrum imaging system in low latitude according to claim 1, it is characterized in that, described multichannel image acquisition and recording subsystem (6) comprises arm processor and FPGA system, described FPGA system comprise for fast cache data SRAM and be used for the FLASH of real-time storage data.
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| CN105222760A (en) * | 2015-10-22 | 2016-01-06 | 一飞智控(天津)科技有限公司 | The autonomous obstacle detection system of a kind of unmanned plane based on binocular vision and method |
| CN105424616A (en) * | 2015-11-26 | 2016-03-23 | 青岛市光电工程技术研究院 | Multispectral camera for ocean oil spill monitoring and imaging processing method |
| CN105510242A (en) * | 2015-12-28 | 2016-04-20 | 南京农业大学 | Crop growth monitoring method and device based on multi-rotor wing unmanned aerial vehicle platform |
| CN105547476A (en) * | 2015-12-08 | 2016-05-04 | 中国航空工业集团公司西安航空计算技术研究所 | Airborne multispectral video image collection and processing method |
| CN105572689A (en) * | 2016-03-21 | 2016-05-11 | 同济大学 | Narrow-band multispectral camera array imaging apparatus |
| CN107205118A (en) * | 2017-06-27 | 2017-09-26 | 中国地质环境监测院 | Seven camera lens unmanned plane panoramic cameras and its image processing method |
| CN107340547A (en) * | 2017-07-24 | 2017-11-10 | 山东省职业卫生与职业病防治研究院 | A kind of UAV system spectrum detection system and its control method for danger detection operation |
| CN109163804A (en) * | 2018-09-12 | 2019-01-08 | 首都师范大学 | The production method of multispectral camera, electronic equipment and multispectral camera |
| CN110672206A (en) * | 2019-09-30 | 2020-01-10 | 中国海洋大学 | Double-slit curved prism chromatic dispersion ultra-large field of view spectrometer optical system |
| CN110987183A (en) * | 2019-12-27 | 2020-04-10 | 广州极飞科技有限公司 | Multispectral imaging system and method |
| CN111351575A (en) * | 2019-12-19 | 2020-06-30 | 南昌大学 | Intelligent flying multi-spectrum camera and feedback method |
| CN111489718A (en) * | 2020-05-21 | 2020-08-04 | 北京小米移动软件有限公司 | Terminal device and ambient light detection method |
| CN111901501A (en) * | 2019-05-05 | 2020-11-06 | 深圳光启高端装备技术研发有限公司 | Full-color panoramic imaging device |
| CN112357107A (en) * | 2020-10-28 | 2021-02-12 | 中国科学院上海技术物理研究所杭州大江东空间信息技术研究院 | Hyperspectral push-broom imaging system carried on six-rotor unmanned aerial vehicle |
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| CN105222760A (en) * | 2015-10-22 | 2016-01-06 | 一飞智控(天津)科技有限公司 | The autonomous obstacle detection system of a kind of unmanned plane based on binocular vision and method |
| CN108594851A (en) * | 2015-10-22 | 2018-09-28 | 飞智控（天津）科技有限公司 | A kind of autonomous obstacle detection system of unmanned plane based on binocular vision, method and unmanned plane |
| CN105424616A (en) * | 2015-11-26 | 2016-03-23 | 青岛市光电工程技术研究院 | Multispectral camera for ocean oil spill monitoring and imaging processing method |
| CN105547476B (en) * | 2015-12-08 | 2018-02-09 | 中国航空工业集团公司西安航空计算技术研究所 | A kind of airborne multispectral video image acquisition and processing method |
| CN105547476A (en) * | 2015-12-08 | 2016-05-04 | 中国航空工业集团公司西安航空计算技术研究所 | Airborne multispectral video image collection and processing method |
| CN105510242A (en) * | 2015-12-28 | 2016-04-20 | 南京农业大学 | Crop growth monitoring method and device based on multi-rotor wing unmanned aerial vehicle platform |
| CN105572689A (en) * | 2016-03-21 | 2016-05-11 | 同济大学 | Narrow-band multispectral camera array imaging apparatus |
| CN105572689B (en) * | 2016-03-21 | 2017-12-12 | 上海同繁勘测工程科技有限公司 | A kind of narrow-band multispectral camera array imaging device |
| CN107205118A (en) * | 2017-06-27 | 2017-09-26 | 中国地质环境监测院 | Seven camera lens unmanned plane panoramic cameras and its image processing method |
| CN107340547A (en) * | 2017-07-24 | 2017-11-10 | 山东省职业卫生与职业病防治研究院 | A kind of UAV system spectrum detection system and its control method for danger detection operation |
| CN109163804A (en) * | 2018-09-12 | 2019-01-08 | 首都师范大学 | The production method of multispectral camera, electronic equipment and multispectral camera |
| CN111901501A (en) * | 2019-05-05 | 2020-11-06 | 深圳光启高端装备技术研发有限公司 | Full-color panoramic imaging device |
| CN110672206A (en) * | 2019-09-30 | 2020-01-10 | 中国海洋大学 | Double-slit curved prism chromatic dispersion ultra-large field of view spectrometer optical system |
| CN111351575A (en) * | 2019-12-19 | 2020-06-30 | 南昌大学 | Intelligent flying multi-spectrum camera and feedback method |
| CN110987183A (en) * | 2019-12-27 | 2020-04-10 | 广州极飞科技有限公司 | Multispectral imaging system and method |
| CN111489718A (en) * | 2020-05-21 | 2020-08-04 | 北京小米移动软件有限公司 | Terminal device and ambient light detection method |
| CN111489718B (en) * | 2020-05-21 | 2021-10-22 | 北京小米移动软件有限公司 | Terminal device and ambient light detection method |
| CN112357107A (en) * | 2020-10-28 | 2021-02-12 | 中国科学院上海技术物理研究所杭州大江东空间信息技术研究院 | Hyperspectral push-broom imaging system carried on six-rotor unmanned aerial vehicle |
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