Geometric integration of high-resolution satellite imagery and airborne LiDAR data for improved geopositioning accuracy in metropolitan areas

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 109, Issue , 2015, Pages 139-151

  Wu, Bo ^a   Tang, Shengjun ^a,b,c   Zhu, Qing ^c   Tong, Kwan yuen ^d   Hu, Han ^a,b,c   Li, Guoyuan ^e  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b WUHAN UNIVERSITY   (China)

^c SOUTHWEST JIAOTONG UNIVERSITY   (China)

^d DEPARTMENT OF HEALTH   (Hong Kong)

^e Satellite Surveying and Mapping Application Center   (China)

Author keywords

Airborne LiDAR; Geometric integration; Geopositioning accuracy; High resolution satellite imagery

Indexed keywords

DATA INTEGRATION; GEOMETRY; INTEGRATION; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES; STEREO IMAGE PROCESSING; TRACKING (POSITION);

AIRBORNE LIDAR; GEOMETRIC INTEGRATION; GEOPOSITIONING ACCURACIES; HIGH RESOLUTION SATELLITE IMAGERY; LIGHT DETECTION AND RANGING; RATIONAL POLYNOMIAL COEFFICIENTS; REMOTE SENSING IMAGERY; SPATIAL INFORMATIONS;

OPTICAL RADAR;

ACCURACY ASSESSMENT; GEOMETRY; LASER; LIDAR; METROPOLITAN AREA; PHOTOGRAMMETRY; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY;

CHINA; HONG KONG;

EID: 84929948583     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.09.006     Document Type: Article

References (44)

1. Adams J., Chandler J. Evaluation of Lidar and medium scale photogrammetry for detecting soft-cliff coastal change. Photogram. Rec. 2002, 17(99):405-418.
2. Anderson, F.S., Parker, T.J., 2002. Characterization of MER landing sites using MOC and MOLA. In: Proceedings of the 33rd Lunar and Planetary Science Conference, League City, Texas, March 11-15.
3. ASPRS ASPRS positional accuracy standards for digital geospatial data. Photogramm. Eng. Rem. Sens. 2014, 81(3):53. http://www.asprs.org/Standards-Activities.html
4. Baltsavias, E.P., Pateraki, M.N., Zhang, L., Baltsavias, E.P., Baltsavias, E.P., 2001. Radiometric and Geometric Evaluation of Ikonos GEO Images and Their Use for 3D Building Modelling. Citeseer.
5. Bowen Z.H., Waltermire R.G. Evaluation of Light Detection and Ranging (LiDAR) for Measuring River Corridor Topography 2002, Wiley Online Library.
6. Croft J. Prodigious mapping capabilities, spatial resolution and geo-location ability: GeoEye's next-generation Imaging Satellite. GeoInformatics 2008, 4:18-23.
7. Csanyi N., Toth C.K. Improvement of Lidar data accuracy using Lidar-specific ground targets. Photogramm. Eng. Rem. Sens. 2007, 73(4):385-396.
8. Dial, G., Grodecki, J., 2002. Block adjustment with rational polynomial camera models. In: Proceedings of ASPRS 2002 Conference, Washington, D.C., pp. 22-26.
9. Di, K., Wang, J., Ma, R., Li, R., 2003a. Automatic shoreline extraction from high-resolution IKONOS satellite imagery. In: Proceedings of ASPRS 2003 Annual Conference. Citeseer.
10. Di K., Ma R., Li R. Geometric processing of Ikonos stereo imagery for coastal mapping applications. Photogramm. Eng. Rem. Sens. 2003, 69(8):873-879.
11. Di K., Hu W., Liu Y., Peng M. Co-registration of Chang'E-1 stereo images and laser altimeter data with crossover adjustment and image sensor model refinement. Adv. Space Res. 2012, 50(12):1615-1628.
12. Fraser C.S., Hanley H.B. Bias-compensated RPCs for sensor orientation of high-resolution satellite imagery. Photogramm. Eng. Rem. Sens. 2005, 71(8):909-915.
13. Fraser C.S., Baltsavias E., Gruen A. Processing of Ikonos imagery for submetre 3D positioning and building extraction. ISPRS J. Photogramm. Rem. Sens. 2002, 56(3):177-194.
14. Fraser C.S., Ravanbakhsh M. Georeferencing accuracy of GeoEye-1 imagery. Photogramm. Eng. Rem. Sens. 2009, 75(6):634-638.
15. Glenn N.F., Streutker D.R., Chadwick D.J., Thackray G.D., Dorsch S.J. Analysis of LiDAR-derived topographic information for characterizing and differentiating landslide morphology and activity. Geomorphology 2006, 73(1):131-148.
16. Habib A., Shin S.W., Kim K., Kim C., Bang K., Kim E.M., Lee D.C. Comprehensive analysis of sensor modeling alternatives for high-resolution imaging satellites. Photogramm. Eng. Rem. Sens. 2007, 73(11):1241-1251.
17. Habib A. Accuracy, quality assurance, and quality control of LiDAR data. Topographic Laser Ranging and Scanning Principles and Processing 2008, 269-293. Taylor & Francis Group/CRC Press, Boca Raton, FL, USA, ISBN: 978-1-4200-5142-1. J. Shan, C. Toth (Eds.).
18. Hodgson M.E., Jensen J.R., Schmidt L., Schill S., Davis B. An evaluation of LiDAR-and IFSAR-derived digital elevation models in leaf-on conditions with USGS Level 1 and Level 2 DEMs. Remote Sens. Environ. 2003, 84(2):295-308.
19. Hladik C., Alber M. Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model. Remote Sens. Environ. 2012, 121:224-235.
20. Kasai M., Ikeda M., Asahina T., Fujisawa K. LiDAR-derived DEM evaluation of deep-seated landslides in a steep and rocky region of Japan. Geomorphology 2009, 113(1):57-69.
21. Li R., Deshpande S., Niu X., Zhou F., Di K., Wu B. Geometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping. Mar. Geodesy 2008, 31(3):143-159.
22. Li R., Zhou F., Niu X., Di K. Integration of IKONOS and QuickBird imagery for geopositioning accuracy analysis. Photogramm. Eng. Rem. Sens. 2007, 73(9):1067.
23. May N.C., Toth C.K. Point positioning accuracy of airborne LiDAR systems: a rigorous analysis. Int. Arch. Photogramm. Rem. Sens. Spatial Inform. Sci. 2007, 36(3/W49B):107-111.
24. Neumaier A. Solving ill-conditioned and singular linear systems: a tutorial on regularization. Siam Rev. 1998, 40(3):636-666.
25. Poli D., Remondino F., Angiuli E., Agugiaro G. Evaluation of Pleiades-1a triplet on Trento testfield. Int. Arch. Photogramm. Rem. Sens. Spatial Inform. Sci. 2013, XL-1/W1:287-292.
26. Populus, J., Barreau, G., Fazilleau, J., Kerdreux, M., L'Yavanc, J., 2001. Assessment of the LiDAR topographic technique over a coastal area. In: Proceedings of CoastGIS'01: 4th International Symposium on GIS and Computer Mapping for Coastal Zone Management. CoastGIS, Halifax, Nova Scotia.
27. Qiao G., Wang W., Wu B., Liu C., Li R. Assessment of geo-positioning capability of high-resolution satellite imagery for densely populated high buildings in metropolitan areas. Photogramm. Eng. Rem. Sens. 2010, 76(8):923-934.
28. Sohn G., Dowman I. Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction. ISPRS J. Photogramm. Rem. Sens. 2007, 62(1):43-63.
29. Spiegel M. Improvement of interior and exterior orientation of the three line camera HRSC with a simultaneous adjustment. Int. Arch. Photogramm. Rem. Sens. Spatial Inform. Sci. 2007, 36(3/W49B):161-166.
30. Stal C., Tack F., Maeyer P., Wulf A., Goossens R. Airborne photogrammetry and LIDAR for DSM extraction and 3D change detection over an urban area: a comparative study. Int. J. Remote Sens. 2013, 34(4):1087-1110.
31. St-Onge B., Hu Y., Vega C. Mapping the height and above-ground biomass of a mixed forest using LiDAR and stereo IKONOS images. Int. J. Remote Sens. 2008, 29:1277-1294.
32. Steinmann K., Mandallaz D., Ginzler C., Lanz A. Small area estimations of proportion of forest and timber volume combining LiDAR data and stereo aerial images with terrestrial data. Scand. J. For. Res. 2013, 28:373-385.
33. Tao C.V., Hu Y. A comprehensive study of the rational function model for photogrammetric processing. Photogramm. Eng. Rem. Sens. 2001, 67(12):1347-1358.
34. Teo, T., Chen, L., 2004. Object-based building detection from LiDAR data and high resolution satellite imagery. In: Proceedings of Asian Conference on Remote Sensing. Ching-Mai, Thailand (on CD-ROM), pp. 22-26.
35. Toutin T. Comparison of 3D physical and empirical models for generating DSMs from stereo HR images. Photogramm. Eng. Rem. Sens. 2006, 72(5):597-604.
36. Tong X., Liu S., Weng Q. Bias-corrected rational polynomial coefficients for high accuracy geo-positioning of QuickBird stereo imagery. ISPRS J. Photogramm. Rem. Sens. 2010, 65(2):218-226.
37. Wang J., Di K., Li R. Evaluation and improvement of geopositioning accuracy of IKONOS stereo imagery. J. Surv. Eng. 2005, 131(2):35-42.
38. Wang T., Zhang G., Li D., Tang X., Jiang Y., Pan H., Zhu X. Planar block adjustment and orthorectification of ZY-3 satellite images. Photogramm. Eng. Rem. Sens. 2014, 80(5):559-570.
39. Wu B., Guo J., Zhang Y., King B., Li Z., Chen Y. Integration of Chang'E-1 imagery and laser altimeter data for precision lunar topographic modeling. IEEE Trans. Geosci. Remote Sens. 2011, 49(12):4889-4903.
40. Wu B., Zhang Y., Zhu Q. A triangulation-based hierarchical image matching method for wide-baseline images. Photogramm. Eng. Rem. Sens. 2011, 77(7):695-708.
41. Wu B., Zhang Y., Zhu Q. Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations. ISPRS J. Photogramm. Rem. Sens. 2012, 68(2012):40-55.
42. Wu B., Hu H., Guo J. Integration of Chang'E-2 imagery and LRO laser altimeter data with a combined block adjustment for precision lunar topographic modeling. Earth Planet. Sci. Lett. 2014, 391:1-15.
43. Xhardé R., Long B.F., Forbes D.L. Accuracy and limitations of airborne LiDAR surveys in coastal environments. 2006 International Geoscience and Remote Sensing Symposium 2006, 2412-2415. IEEE, Denver, CO.
44. Yoon J., Shan J. Combined adjustment of MOC stereo imagery and MOLA altimetry data. Photogramm. Eng. Rem. Sens. 2005, 71(10):1179-1186.