Topographical mapping and generating digital surface model using remote sensing
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1 Topographical mapping and generating digital surface model using remote sensing Hiroaki TANAKA Technology Development Office, Topograhic Department Geographical Survey Institute of Japan(GSI)
2 IKONOS image resolution:1m Shizuoka Prefecture
3 High resolution satellites Ground resolution (m) / Band width (km) chart of operational satellite image products
4 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
5 Permissible accuracy Permissible accuracy of 1/25,000 scale map Horizontal (Maximum permissible errors) Mapping : 7.5m Updating : 12.5m Vertical Both mapping and updating : 2.5m
6 Evaluation of satellite image for topographic mapping compared the result of drawing with a topographical map
7 Evaluation of QuickBird stereo image Location of test field Distribution of checkpoints Tokyo Tokyo Bay Yokosuka Test Field Yokosuka city and its surroundings nearby Tokyo Elevation : 0 241m Observation Date of images : April 22, 2003 Off-nadir angle : 28.7 degree (forward view) 27.2 degree (backward view) : checkpoints (60pts)
8 Evaluation of QuickBird stereo image Measurement of check points Coordinates measurement from imagery RPC-model Measurement by GPS (Fast-static GPS)
9 Evaluation of QuickBird stereo image Comparison of coordinates (Horizontal component of error vectors) N N 3km Before correction RMSE:13.47m 3km After correction with one GCP RMSE:1.37m
10 Evaluation of QuickBird stereo image Comparison of coordinates (Vertical errors) Before correction RMSE:1.42m After correction with 3 GCPs taken from coastline RMSE:0.44m
11 Interpretation test Extraction of features using Digital Photogrammetry Workstation hilly area urban area Susono city in Shizuoka Prefecture
12
13 !!"#$# % Advanced Land Observing Satellite ALOS"Daichi" PRISM 2.5m-spatial resolution three optical system Panchromatic sensor Mission AVNIR-2 10m-spatial resolution Multi-band(BGRNIR sensor PALSAR 10m-spatial resolution L-band SAR From JAXA HP
14 Topographical Mapping using "Daichi" Images Observation: 8times/year 2.5m Ground Resolution nadir images Collect changed features Efficient revision of topographic maps Generate Ortho satellite images Revision of maps overlaying ortho images "Daichi"/PRISM triple line sensor Automatic DSM generation forward backward 1/25,000 Topographic mapping Generate a 3D model by a stereo pair Precise mapping and measurement by a Digital Photogrammetry Workstation
15 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
16 Evaluation of geometric accuracy Used geometric models Generic Pushbroom sensor model Orientation parameters were calculated by conventional triangulation method using some GCPs Method Comparison using GCPs as check points Test areas and data
17 JAXA Fukuoka Horizontal error vector 10 m
18 Image interpretation Image reading test Identification of features included in 1/25,000 scale map On-site verification An experiment of feature change extraction Comparison of extracted changes with ground truth data
19 Reading test : Road(5.5 13m width) JAXA PRISM Panchromatic JAXA PRISM-AVNIR2 Pan sharpen Evaluation
20 Evaluation of DSM generation Test Aria Fukuoka City Image Specification
21 Effect of filtering Before filtering After filtering
22 Evaluation of DSM generation Errors (height) on reference points (98 pts. "Daichi"/PRISM DSM Discrepancies between "Daichi" DSM and Lidar DEM Height range 0 359m Total grids Lidar DEM
23 Evaluation of DSM generation Number of pts. Distribution of discrepancies (Total) "Daichi" DSM-Lidar DEM Number of pts. Discrepancy(m) Distribution of discrepancies (City center) Discrepancy(m)
24 Conclusion High resolution satellite image with several GCPs has enough accuracy to make topographical map It is possible Daichi/PRISM image generate DSM automatically and constantly.
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