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Dr. Ahmed Shaker, Department of Civil Engineering Potential Use of LiDAR Technology in Forestry Applications Dr. Ahmed Shaker by

Potential Use of LiDAR Technology in Forestry Applicationsatelierlidar.ffgg.ulaval.ca/wp-content/uploads/2016/05/5.03 Shaker.pdf · Potential Use of LiDAR Technology in Forestry Applications

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Dr. Ahmed Shaker, Department of Civil Engineering

Potential Use of LiDAR Technology in Forestry Applications

Dr. Ahmed Shaker

by

Dr. Ahmed Shaker, Department of Civil Engineering

Research

• Use of mobile and airborne LiDAR technology in engineering applications with a particular interest on land cover classification and object extraction.

• Develop algorithms to improve the LiDAR data quality: – Radiometric Correction

– Radiometric Normalization

• Demonstrate the use of single/multi-wavelength LiDAR for: – Land Cover Classification

– Land/Water Delineation

– Other Applications

May 4th, 2016 S2

Dr. Ahmed Shaker, Department of Civil Engineering

Radiometric Correction

𝑐𝑣 =𝜎

𝜇

May 4th, 2016 S3

Dr. Ahmed Shaker, Department of Civil Engineering

Radiometric Normalization

• Radiometric Normalization

– To reduce the radiometric misalignment found in overla

May 4th, 2016 S4

0

.

Laser

Footprint

Laser

Pulse

1st Scan

2nd Scan

Flying

Height

Overlapping

Region

Combined intensity data with

line striping noise

Dr. Ahmed Shaker, Department of Civil Engineering

Radiometric Normalization

• Two radiometrically corrected intensity dataset XA and XB with partial overlap

– Locate all possible pairwise closest points within a certain threshold

– Plot the joint intensity-histogram using the pairwise dataset

– Perform weighted least-squares polynomial fitting

– Normalize the XB with reference to XA using the fitted function

May 4th, 2016 S5

Pairwise Closest Points K Intensity bin of XB

0

J

Inte

ns

ity b

in o

f X

A

Intensity normalization of

XB with reference to XA Generate Joint-histogram

LiDAR data strip XA

LiDAR data strip XB

Overlap

Polynomial

Fitting

Dr. Ahmed Shaker, Department of Civil Engineering

Examples of Radiometric Correction and Normalization

• Orion (1500 nm) LiDAR Intensity Data

May 4th, 2016 S6

Original Intensity Data Corrected and Normalized Intensity Data

Dr. Ahmed Shaker, Department of Civil Engineering

• Gemini (1064 nm) LiDAR Intensity Data

May 4th, 2016 S7

Original Intensity Data Corrected and Normalized Intensity Data

Examples of Radiometric Correction and Normalization

Dr. Ahmed Shaker, Department of Civil Engineering

• Gemini (1064 nm) LiDAR Intensity Data

May 4th, 2016 S8

Original Intensity Data Corrected and Normalized Intensity Data

Examples of Radiometric Correction and Normalization

Dr. Ahmed Shaker, Department of Civil Engineering

LiDAR Single-Wavelength Classification

Dataset 3-classes 4-classes 5-classes

OI 60.50% 51.78% 30.50%

GCI 60.59% 53.17% 32.08%

RCI 68.52% 62.08% 42.08%

GC & RCI 69.90% 63.47% 43.27%

OI

Misclassified as grass

RCI

Tree

Misclassified as tree

OI

Building

RCI

Accuracy Improvement • Geometric Calibration (GC): 0.1 to 1.6% • Radiometric Correction (RC): 8.0 to 11.6% • GC & RC: 9.4% to 12.8%

May 4th, 2016 S9

Dr. Ahmed Shaker, Department of Civil Engineering

Multispectral LiDAR – Teledyne Optech

May 4th, 2016 S10

Parameter Specification

Wavelengths Channel 1 = 1550 nm,

Channel 2 = 1064 nm,

Channel 3 = 532 nm

Altitudes Topographic: 300-2000 m AGL, all channels

Bathymetric: 300-600 m AGL, channel 3

Scan Angle (FOV) Programmable; 0 - 60° max

Beam Divergence Channel 1 & 2 = 0.35 mrad ,

Channel 3 = 0.7 mrad

Pulse Repetition Frequency (PRF) 50 - 300 kHz/channel; 900 kHz total

Scan Frequency Programmable; 0 - 210 Hz

Swath width Up to 115% of AGL

Point Density Bathymetric: >15 pts/m2

Topographic: >45 pts/m2

Dr. Ahmed Shaker, Department of Civil Engineering

Multispectral LiDAR Data Classification

May 4th, 2016 S11

532 nm 1064 nm 1550 nm

Digital Surface Model (DSM)

Dr. Ahmed Shaker, Department of Civil Engineering

Multispectral LiDAR Data Classification

• Optech Titan LiDAR data (three wavelengths)

May 4th, 2016 S12

Combined intensity images with DSM; DSM in Red, C3 in Green,

and C2 in Blue

Combined intensity images; C1 in red,

C2 in green, and C3 in blue

Dr. Ahmed Shaker, Department of Civil Engineering

Multispectral LiDAR Data Classification

May 4th, 2016 S13

• Classified Points

• Classification accuracy of 93%

Dr. Ahmed Shaker, Department of Civil Engineering

Land/Water Delineation - Coastal Area

May 4th, 2016 S14

Aerial Photo Channel 3: 1550 nm Channel 2: 1064 nm Channel 1: 532 nm

Land Water 2D View

3D View

Whitby, ON

Dr. Ahmed Shaker, Department of Civil Engineering

Thank You