topographical mapping and generating digital surface model

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Topographical mapping and generating digital surface model using remote sensing Hiroaki TANAKA Technology Development Office, Topograhic Department Geographical Survey Institute of Japan(GSI)

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Page 1: Topographical mapping and generating digital surface model

Topographical mapping and generating digital surface model

using remote sensing

Hiroaki TANAKA

Technology Development Office,Topograhic Department

Geographical Survey Institute of Japan(GSI)

Page 2: Topographical mapping and generating digital surface model

IKONOS image�resolution:1m��Shizuoka Prefecture�

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Page 3: Topographical mapping and generating digital surface model

High resolution satellitesGround resolution (m) / Band width (km) chart of operational satellite image products

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Page 4: Topographical mapping and generating digital surface model

Required evaluation of satellite image products for topographic

mapping

• Evaluation of geometric accuracy – Geometric accuracy of 2D/3D measurement

using satellite images with/without GCPs

• Interpretation test from satellite images– Image reading test– On-site verification

Page 5: Topographical mapping and generating digital surface model

Permissible accuracyPermissible accuracy of 1/25,000 scale map

(Maximum permissible errors)

�Mapping : 7.5m

�Updating : 12.5m

• Horizontal

• Vertical

�Both mapping and updating : 2.5m

Page 6: Topographical mapping and generating digital surface model

Evaluation of satellite image for topographic mapping

compared the result of drawing with a topographical map

Page 7: Topographical mapping and generating digital surface model

Observation Date of images : April 22, 2003Off-nadir angle : 28.7 degree (forward view)

27.2 degree (backward view)���� : checkpoints (60pts)

Yokosuka city and its surroundings nearby TokyoElevation : 0 – 241m

Distribution of checkpointsLocation of test field

������������ �Test Field

Tokyo

Bay

Tokyo

Yokosuka

Evaluation of QuickBird stereo image

Page 8: Topographical mapping and generating digital surface model

Evaluation of QuickBird stereo image

Coordinates measurement from imagery �RPC-model�

Measurement by GPS(Fast-static GPS)

Measurement of check points

������������ �

Page 9: Topographical mapping and generating digital surface model

Comparison of coordinates (Horizontal component of error vectors)

3km

N

3km

N

After correction with one GCPRMSE:1.37m

Before correctionRMSE:13.47m

Evaluation of QuickBird stereo image

Page 10: Topographical mapping and generating digital surface model

Comparison of coordinates (Vertical errors)

After correction with 3 GCPs taken from coastline

RMSE:0.44m

Before correctionRMSE:1.42m

���

���

Evaluation of QuickBird stereo image

Page 11: Topographical mapping and generating digital surface model

Extraction of features using Digital Photogrammetry Workstation

�hilly area� �urban area�

�Susono city in Shizuoka Prefecture

������������ �� ��������������Interpretation test ������������

Page 12: Topographical mapping and generating digital surface model

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Page 13: Topographical mapping and generating digital surface model

Mission�����������•� �������� ������•������ ���������•� ����� ���� ���

PRISM2.5m-spatial resolutionthree optical systemPanchromatic sensor

AVNIR-210m-spatial resolutionMulti-band(BGRNIR�sensor

PALSAR10m-spatial resolutionL-band SAR

From JAXA HP

Advanced Land Observing Satellite�ALOS"Daichi"�

����� �� !!"#$# %

Page 14: Topographical mapping and generating digital surface model

Topographical Mapping using "Daichi" ImagesObservation: 8times/year

Collect changed features

Efficient revision of

topographic maps

1/25,000Topographic

mapping

Generate Ortho satellite images

Generate a 3D model by a stereo pair

forward backward

Revision of maps overlaying ortho images

Precise mapping and measurement

by a Digital Photogrammetry

Workstation

"Daichi"/PRISM triple line sensor

2.5m Ground Resolution nadir images

Automatic DSMgeneration

Page 15: Topographical mapping and generating digital surface model

Evaluation of "Daichi"/PRISM image quality

• Evaluation of geometric accuracy – Geometric accuracy of generic pushbroom

sensor model applied to PRISM images using GCPs

• Interpretation of PRISM image– Image reading test– On-site verification

• Evaluation of DSM generation– Accuracy of DSM generated by

"Daichi"/PRISM stereo pairs

Page 16: Topographical mapping and generating digital surface model

Evaluation of geometric accuracy

• Used geometric models

• Test areas and data

• Method

� Generic Pushbroom sensor model� Orientation parameters were calculated by conventional

triangulation method using some GCPs

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� Comparison using 30�50 GCPs as check points

Page 17: Topographical mapping and generating digital surface model

10 m

Fukuoka

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Horizontal error vector

©JAXA

Page 18: Topographical mapping and generating digital surface model

Image interpretation

• On-site verification

• Image reading test� Identification of features included in 1/25,000 scale map

� An experiment of feature change extraction

� Comparison of extracted changes with ground truth data

Page 19: Topographical mapping and generating digital surface model

PRISM�Panchromatic�

PRISM-AVNIR2�Pan sharpen�

Reading test : Road(5.5�13m width)

Evaluation�������� �� ���� � ��� � � � � �� �� �� �� � �� � �

� �

©JAXA©JAXA

Page 20: Topographical mapping and generating digital surface model

Evaluation of DSM generationTest Aria

Image Specification

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Fukuoka City

Page 21: Topographical mapping and generating digital surface model

Effect of filtering

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Before filtering After filtering

Page 22: Topographical mapping and generating digital surface model

Evaluation of DSM generation

Lidar DEM

"Daichi"/PRISM DSM

Height range ���� 0����359m����Total grids ����3149304

Errors (height) on reference points (98 pts.����

Discrepancies between "Daichi" DSM and Lidar DEM

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Page 23: Topographical mapping and generating digital surface model

Evaluation of DSM generation

0-50 50-30 3010-10

Num

ber

of p

ts.

500000

Discrepancy(m)

Num

ber

of p

ts.

Discrepancy(m)

5000

0-25 45-15 255-5 15

Distribution of discrepancies (City center)

Distribution of discrepancies

(Total)

"Daichi" DSM-Lidar DEM�� �� ��� ��

Page 24: Topographical mapping and generating digital surface model

Conclusion

• High resolution satellite image with several GCPs has enough accuracy to make 25000 topographical map

• It is possible Daichi/PRISM image generate DSM automatically and constantly.