lidar and ci compressive sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • provide an introductory...

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LIDAR and C i LIDAR and C i Compressive Sensing Compressive Sensing Myron Z. Brown 26 February 2009 Myron Z. Brown 26 February 2009 Compressive Sensing Workshop Work performed under contract to NGA by M.Z. Brown; NGA Contract: HM1582-0-R-0004 Compressive Sensing Workshop Work performed under contract to NGA by M.Z. Brown; NGA Contract: HM1582-0-R-0004 1 Approved for Public Release, PA Case 09-147B Approved for Public Release, PA Case 09-147B

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Page 1: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

LIDAR and C i LIDAR and C i Compressive SensingCompressive Sensinggg

Myron Z. Brown26 February 2009Myron Z. Brown26 February 2009Compressive Sensing WorkshopWork performed under contract to NGA by

M.Z. Brown; NGA Contract: HM1582-0-R-0004

Compressive Sensing WorkshopWork performed under contract to NGA by

M.Z. Brown; NGA Contract: HM1582-0-R-0004

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Approved for Public Release, PA Case 09-147BApproved for Public Release, PA Case 09-147B

Page 2: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Outline• Provide an introductory discussion of LIDAR

– LIDAR 101Key capabilities– Key capabilities

– Geiger-mode detectors and unique challenges

• Discuss objectives and challenges

• Solicit ideas from Compressive Sensing community

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Page 3: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

LIDAR• Principle of LIDAR

– A laser (pulse or continuous wave) is fired from a transmitter and reflected energy is captured (see illustration below)

– Used to measure distance, velocity, chemical composition, etc.

• Nomenclature– “LIDAR” – light detection and ranging– “LADAR” – laser detection and ranging

“L d ”– “Laser radar”– These terms are almost always used interchangeably

Transmitter

Receiver

Reflector

TL = Time of travel

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Page 4: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Range and Intensity ProductsLIDAR Range Reveals 3D Structure

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LIDAR Intensity Supports Image InterpretationData from Optech Lynx system

Page 5: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Can collect multiple

Multiple ReturnsCan collect multiple returns per pulse along z-axis within the beam width (footprint)

Light Pulse

width (footprint)first return

2nd return

3rd return

First Returns

Point C

lo

Last Returns

last returnoud

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Page 6: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Multiple Looks with Gimbaled LIDARElkhorn Lake, Single Pass, No Gimbal, 66k points

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Single Pass w/Gimbal, 461k pointsData from NGA ILAP system

Page 7: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

F li R lFoliage RemovalBefore Foliage Removal

GSMingo Knob, WV – 0.5m GSD

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“Bare Earth” reveals roads, trails, etc.Data from NGA ILAP system

Page 8: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Vertical ObstructionsLIDAR Point Cloud

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Vertical Features Extracted from LIDARData from Optech Lynx system

Page 9: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Geiger-mode Detectors• A linear-mode avalanche photo-diode (APD) is a photodetector that is biased at p ( ) p

close-to but below the breakdown voltage of the semiconductor, so a single photon in is multiplied to produce at most a few hundred electrons.

• A Geiger-mode APD (GmAPD), also called a Single Photon Avalanche Diode (SPAD) operates at a bias voltage above breakdown so a single photon in sets off(SPAD), operates at a bias voltage above breakdown, so a single photon in sets off an avalanche, triggering the timing register.

• GmAPD LIDAR data can include points due to Range Histogram

pdark current and background light as well as surfaces of interest.

• Range histogram is built up over many pulsesSignal

End of GateEarly Fires

ange

Bin

• Range histogram is built up over many pulses.– Each pulse contributes either (1) a “1” to a

single range bin or (2) a null result.

Signal

BackgroundCou

nts

Per

R

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• Photon counting methods are employed to determine which points to retain.Range Bin (Cropped Near Peak)

Page 10: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

GmAPD Benefits and Challenges• Benefits

– Highly sensitive detectors support lower power, longer ranges– Multiple-pixel APD arrays support increased area rates ofMultiple pixel APD arrays support increased area rates of

coverage

Ch ll• Challenges– Additional processing (and time) required to remove noise– Greater amount of raw data collected for GmAPD compared to

conventional LIDAR– Noise in raw data poses additional challenges for compression

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Page 11: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

Objectives and Challenges

• Explore methods to efficiently manage large volumes of data– Processing– Exploitation / visualizationp– Dissemination / storage

• Retain fidelity of datasetsRetain fidelity of datasets

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Page 12: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

ConclusionsLIDAR id k bili i• LIDAR provides key capabilities– 3D structure– Intensity information– Foliage penetrationFoliage penetration– Bare earth and vertical obstruction extraction

• Geiger-mode detectors present unique benefits and challenges– Lower power, longer ranges, increased area rates of coverage

compared to linear mode sensors– More data, noisier data

• Goals– Investigate methods to efficiently manage large volumes of data– Retain fidelity of data

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Page 13: LIDAR and Ci Compressive Sensingpeople.ee.duke.edu/~lcarin/brown.pdf · • Provide an introductory discussion of LIDAR – LIDAR 101 – Key capabilitiesKey capabilities – Geiger-mode

www.nga.mil

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