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139108219271 Research Interests of Our Lab --from Theories to Applications --from Theories to Applications Prof. YAN Lei School of Earth.

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Presentation on theme: "139108219271 Research Interests of Our Lab --from Theories to Applications --from Theories to Applications Prof. YAN Lei School of Earth."— Presentation transcript:

1 Research Interests of Our Lab --from Theories to Applications --from Theories to Applications Prof. YAN Lei School of Earth & Spatial Sciences Beijing Key Lab of Spatial Information Integration and Its Applications Peking University

2 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

3 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

4 China Project to Verify General Relativity Einstein ’ s General Theory of Relativity: gravity and motion can affect the interval of time and of space. Relating physical effects: geodetic effect 短程线效应geodetic effect 短程线效应 frame-dragging effect 坐标系拖曳效应 bending of starlight by gravity 光线偏转 red shifted 引力红移 red shifted Shapiro delay 夏皮洛时延 etc.Shapiro delay 夏皮洛时延 Why prove them? new spatial devices … new survey manners … new time-space overview …new time-space overview … GRV

5 To detect geodetic effect with high-resolution measurement system The geodetic effect means that space warps towards the weighty mass and light objects accelerate towards heavier ones. Use a high precision gyroscope to verify the geodetic effect on the fact that space ’ s curve cause gyro ’ s precession. GRV

6 To inspect the frame-dragging effect Frame-dragging effect implies that mass ’ s self-rotation can produce swirling space curve around it. An Inertial Measurement project, we propose, can accumulate the precession caused by earth ’ s self-rotation in the pole- around orbit. China has inertial instrument to satisfy so kind of high precision: 0.01 arcsec/year GRV

7 To compare the effect of light get red shifted in a gravitational field red shifted (time slower) The gravity field intensity: moon surface weaker A clock for comparison can be carried to the moon- exploitation plan to prove General Relativity. GRV

8 To verify the Shapiro delay effect by combining two detectors Light travels through gravity field with delay for space ’ s curve. In the moon- a radial-sensitive apparatus can be fixed on the moon. Its parallel work with the other one orbiting around the earth can measure the variance. Earth Moon Next point GRV

9 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

10 Measured information spectral + angular + polarization + vertical… Past Future Assumptions in retrievals Only to retrieve ~ everything retrieved Algorithm complexity AVHRR TOMS MODIS MISR POLDER APS AEROSAT PSRS PSRS( Polarized Spectral Remote Sensing) Introduction

11 Characteristics of Electromagnetic Wave Intensity----most popularly measured Polarization----to modify the intensity distribution in the space direction Phase---- to modify the intensity distribution at spatial position Frequency----to modify the intensity in the frequency field

12 Research engaged The three-dimensional polarized reflection spectra of land objects To measure the surface layer density and components of land objects Land objects soil rock Water …..

13 Rock polarized spectrum characteristics Rock polarized spectrum curves and spectrum cubic chart at 60 o incidence in B band ( nm ). PSRS

14 Soil polarized spectrum characteristics (1) 0 o and 90 o Polarized reflectance of brown forest soil at nm, incidence angle = 40 o PSRS

15 Soil polarized spectrum characteristics (2) 0 o and 90 o Polarized reflectance of brown forest soil at nm, incidence angle = 60 o PSRS

16 Integrating sphere and polarization instruments PSRS

17 Application Field Land objects recognition Earth Surface Density measurement Moon or other planets surface detection Material thickness estimation Stealth and anti-stealth objects

18 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

19 UAV Remote Sensing Information System Ultra-high, altitude: (10~30km) Ultra-low, altitude: (150~400m) UAV Remote Sensing Information System long timeflexibility Ultra-low Ultra-high low-cost UAVRS

20 Remote sensing images gotten with the UAV system (1) Auto-spelled High-resolution Image with 3 Paralleled Digital Cameras UAVRS

21 hight : 500m speed : 80km/h shutter: 1/1000 Ground resolusion : 56mm Digital RS images Blow-up

22 Remote sensing images gotten with the UAV system (2) Main Street Images of SHIHEZI City with Ortho-graph and Patched Treatments UAVRS

23 Remote sensing images gotten with the UAV system (3) The remote sensing image shot on the UAV (1km high, 0.1m resolution) UAVRS

24 Infrared images

25 SAR images

26 Countryside & duck Resolution: 2.25cm

27 UAV Remote Sensing Information System UAVRS Another question: data real-time processing Parallel calculation or collection apparatus: like Fourier lens mechanism, we suggested, for image compressing and transferring

28 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

29 NAVISTAR (China Unicom) search place destin ation original setting Navi detail On-line leading Surrounding state Self-driving Navigation LBS

30 Software Architecture J2EE: efficient and transplantable Data tier Database Server data First tier Client Wireless Device Middle tier Services Business logic Servlets/JSPEJBs LBS

31 Multi-scale Presentation LBS

32 Multi-logic levels Different services require different logic networks Self-driving navigation: road networks traffic rules road ranks road directions Public transport navigation: Transportation lines (subway, bus, urban rails and ship) Stations Transfer information LBS

33 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

34 Systematic Research Issues(4 stages) Urban spatial distribution law and its dynamic features based on transportation: Research on universal law Social, psychological and economic factors affecting urban transportation: Individual behavior mechanism Basis for macroscopic decision on the coordinated development of urban area and transportation Remote Sensing Techniques for monitoring Experiment Platform & Techniques Basic Research Techniques & Platform Individual Decision Making : Effectiveness of macroscopic decision & Closed-loop Control Case-based Decision Making: Countermeasure based on macroscopic decision & Emergency Management Macroscopic Decision Countermeasure & Effectiveness ITS

35 Self-organized feedback close-loop theory of the transportation micro-adjustment Overall process of the Mobile communication and random distributing traits of the public Mobile units active traffic information gathering units (traffic flow) 1.The stable random distribution of the Public moving unit 2.Way of feedback and gathering movement mode under various velocities 3.Wireless communication Channel (mode 、 data structures) 4.Feedback to where the people and goods happens ITS

36 Technological Structure and its extending effects

37 E-governmentBus control centerTraffic management Freeway control Traffic emergencyTaxi control …. Road construction Bus line Freeway Status Restriction Road Construction Hinge Info. Freeway Status Information systems related to transportation The reports for Video 、 Accident Monitor signal for Freeway Bus statue Video monitor for Subway The number & Location of Taxi The reports for Video 、 Accident Long-distance Info. Subway Info. The Capability of Buses, Road network Road network Status Taxi Info. Toll Level Info. Restriction Road Construction Hinge Infor. Freeway Status Subway Info. Dynamic Road-status Info. Bus Station Info. Road construction Bus line Freeway Status Problems : Lack of information share Disunity of data dictionary Different statistic result Complex data merge algorithm Results : Disharmony of high level control Feebleness in dealing with emergency line-haul center Subway control center

38 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Content:

39 Background and Significance of UUV Background  To reduce the error of Inertial Navigation System (INS) accumulated with time  To meet the demand of ” High Precision, Long Time, Self- determination, Passive ” of the underwater vehicle in the future Significance  Apply in ground navigation such as taxi navigation, Location Based Service (LBS), Positioning with mobile phone etc. UUV

40 Basic Principles & Key Technologies Principles of Underwater Passive Navigation System Underwater Gravity-Aided Navigation System, GANS Underwater Terrain-Aided Navigation System,TANS Sensor of Ocean Geographic Characteristics INS Ocean Geographic Characteristics Data Base Matching Algorithm Optimum matching position emendation UUV

41 Underwater Terrain-Aided Navigation System UUV

42 Simulation Platform UUV

43 Further Research UUV

44 GRV (General Relativity Verifying) PSRS (Polarized Spectral Remote Sensing) UAV (Unmanned Air Vehicle ) RS System LBS (Location Based Services) ITS (Intelligent Transportation System) UUV (Unmanned Underwater Vehicles ) Conclude 6 aspects:

45 Thanks Prof. YAN Lei School of Earth & Spatial Sciences Beijing Key Lab of Spatial Information Integration and Its Applications Peking University


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