Large-scale classification of water areas using airborne topographic lidar data

Remote Sensing of Environment

Volumn 138, Issue , 2013, Pages 134-148

  Smeeckaert, Julien ^a   Mallet, Clément ^b   David, Nicolas ^b   Chehata, Nesrine ^c,d   Ferraz, Antonio ^b,e  

^a SHOM   (France)

^b UNIVERSITÉ PARIS EST   (France)

^c Institut de Recherche pour le Developpement Tunis   (Tunisia)

^d UNIVERSITÉ DE BORDEAUX   (France)

^e INESC COIMBRA   (Portugal)

Author keywords

Airborne; Classification; Large scale mapping; Lidar; Rivers; Seashore; Support vector machines; Water

Indexed keywords

AIRBORNE; AIRBORNE LASER SCANNING; CLASSIFICATION FRAMEWORK; CONTEXTUAL KNOWLEDGE; DIGITAL TERRAIN MODEL; MISCLASSIFICATIONS; POINT COORDINATES; PROBABILISTIC RELAXATION;

CLASSIFICATION (OF INFORMATION); COASTAL ZONES; HAZARDS; OPTICAL RADAR; RIVERS; SURFACE TOPOGRAPHY; THREE DIMENSIONAL; WATER;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; AIRBORNE SENSING; AUTOMATION; DIGITAL TERRAIN MODEL; LAND COVER; LIDAR; NATURAL HAZARD; PROBABILITY; TOPOGRAPHIC MAPPING;

EID: 84882633908     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.07.004     Document Type: Article

References (65)

1. Addo K.A., Walkden M., Mills J. Detection, measurement and prediction of shoreline recession in Accra, Ghana. ISPRS Journal of Photogrammetry and Remote Sensing 2008, 63:543-558.
2. Aleman N., Robin N., Certain R., Vanroye C., Barusseau J.P., Bouchette F. Typology of nearshore bars in the Gulf of Lions (France) using lidar technology. Journal of Coastal Research 2011, SI64:721-725.
3. Antonarakis A., Richards K., Brasington J. Object-based land cover classification using airborne lidar. Remote Sensing of Environment 2008, 112:2988-2998.
4. Baruch A., Filin S. Detection of gullies in roughly textured terrain using airborne laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing 2011, 66:564-578.
5. Braun A., Weidner U., Jutzi B., Hinz S. Integrating model knowledge into SVM classification - Fusing hyperspectral and laserscanning data by kernel composition. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2011, XXXVIII-4/W19. (on CD-ROM).
6. Brzank A., Heipke C., Goepfert J., Soergel U. Aspects of generating precise digital terrain models in the Wadden Sea from lidar water classification and structure line extraction. ISPRS Journal of Photogrammetry and Remote Sensing 2008, 63:510-528.
7. Brzank A., Lohmann P., Heipke C. Aspects of lidar processing in coastal areas. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2005, XXXVI-1/W3. (on CD-ROM).
8. Brzank A., Lohmann P., Heipke C. Automated extraction of pair wise structure lines using airborne laserscanner data in coastal areas. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences 2005, XXXVI-3(W19):36-41.
9. Chang C.C., Lin C.J. LIBSVM: A library for support vector machines Software available at. http://www.csie.ntu.edu.tw/cjlin/libsvm.
10. Chehata N., Guo L., Mallet C. Airborne lidar feature selection for urban classification using random forests. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2009, 38(Part 5/W12):207-212.
11. Chust G., Galparsoro I., Borja A., Franco J., Uriarte A. Coastal and estuarine habitat mapping, using lidar height and intensity and multi-spectral imagery. Estuarine, Coastal and Shelf Science 2008, 78:633-643.
12. Collin A., Long B., Archambault P. Merging land-marine realms: Spatial patterns of seamless coastal habitats using a multispectral lidar. Remote Sensing of Environment 2012, 123:390-399.
13. Dalponte M., Bruzzone L., Gianelle D. Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and lidar data. Remote Sensing of Environment 2012, 123:258-270.
14. Dupuy S., Lainé G., Tormos T. OBIA for combining lidar and multispectral data to characterize forested areas and land cover in tropical region. International Conference on Geographic Object-Based Image Analysis (GEOBIA), Rio de Janeiro, Brazil, 7-9 May 2012 2012, 279-285.
15. Foody G. Status of land cover classification accuracy assessment. Remote Sensing of Environment 2002, 80:185-201.
16. Foody G., Mathur A. Toward intelligent training of supervised image classifications: Directing training data acquisition for SVM classification. Remote Sensing of Environment 2004, 93:107-117.
17. Fu A., Yan H. A new probabilistic relaxation method based on probability space partition. Pattern Recognition 1997, 30:1905-1917.
18. Gong P., Howarth P. Performance analyses of probabilistic relaxation methods for land-cover classification. Remote Sensing of Environment 1989, 30:33-42.
19. Gong B., Im J., Mountrakis G. An artificial immune network approach to multi-sensor land use/land cover classification. Remote Sensing of Environment 2011, 115:600-614.
20. Guenther G., Brooks M., LaRocque P. New capabilities of the SHOALS airborne lidar bathymeter. Remote Sensing of Environment 2000, 73:247-255.
21. Hladik C., Alber M. Accuracy assessment and correction of a lidar-derived salt marsh digital elevation model. Remote Sensing of Environment 2012, 121:224-235.
22. Höfle B., Vetter M., Pfeifer N., Mandlburger G., Stötter J. Water surface mapping from airborne laser scanning using signal intensity and elevation data. Earth Surface Processes and Landforms 2009, 34:1635-1649.
23. Irish J., Lillycrop W. Scanning laser mapping of the coastal zone: The SHOALS system. ISPRS Journal of Photogrammetry and Remote Sensing 1999, 54:123-129.
24. Kokaly R.F., Couvillion B.R., Holloway J.M., Roberts D.A., Ustin S.L., Peterson S.H., et al. Spectroscopic remote sensing of the distribution and persistence of oil from the Deepwater Horizon spill in Barataria Bay marshes. Remote Sensing of Environment 2013, 129:210-230.
25. Lee I.C., Wu B., Li R. Shoreline extraction from the integration of lidar point cloud data and aerial orthophotos using mean-shift segmentation. ASPRS Annual Conference, ASPRS, Baltimore, MA, USA, 9-13 March 2009 2012, 3033-3040.
26. Lin Y., Yan L., Tong Q. Automatic recognition of rivers from lidar data by profile factor. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2008, XXXVII-B1:245-250.
27. Liu H., Sherman D., Gu S. Automated extraction of shorelines from airborne light detection and ranging data and accuracy assessment based on Monte Carlo simulation. Journal of Coastal Research 2007, 23:1359-1369.
28. Lucchi A., Li Y., Smith K., Fua P. Structured image segmentation using kernelized features. European Conference on Computer Vision, Florence, Italy, 7-13 October 2012 2012.
29. Mallet C., Bretar F. Full-waveform topographic lidar: State-of-the-art. ISPRS Journal of Photogrammetry and Remote Sensing 2009, 64:1-16.
30. Mallet C., Bretar F., Roux M., Soergel U., Heipke C. Relevance assessment of full-waveform lidar data for urban area classification. ISPRS Journal of Photogrammetry and Remote Sensing 2011, 66:S71-S84.
31. Mandlburger G., Hauer C., Hofle B., Habersack H., Pfeifer N. Optimisation of lidar derived terrain models for river flow modelling. Hydrological Earth System Sciences 2009, 13:1453-1466.
32. Mason D., Scott T., Wang H.J. Extraction of tidal channel networks from airborne scanning laser altimetry. ISPRS Journal of Photogrammetry and Remote Sensing 2006, 61:67-83.
33. Miller P., Mills J., Edwards S., Bryan P., Marsh S., Mitchell H., et al. A robust surface matching technique for coastal geohazard assessment and management. ISPRS Journal of Photogrammetry and Remote Sensing 2008, 63:529-542.
34. Mountrakis G., Im J., Ogole C. Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing 2011, 66:247-259.
35. NSF (web site for high-resolution topography data and tools, supported by the U.S. National Science Foundation. Accessed 13 September 2012). http://opentopography.org/.
36. Onojeghuo A.O., Blackburn G. Optimising the use of hyperspectral and lidar data for mapping reedbed habitats. Remote Sensing of Environment 2011, 115:2025-2034.
37. Pardo-Pascual J., Almonacid-Caballer J., Ruiz L., Palomar-Vázquez J. Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision. Remote Sensing of Environment 2012, 123:1-11.
38. Parrish C. Advances in mapping from aerospace imagery: Techniques and applications 2012, CRC Press, (chapter Shoreline mapping).
39. Pastol Y. Use of airborne lidar bathymetry for coastal hydrographic surveying: The French experience. Journal of Coastal Research 2011, 62:62-74.
40. Pe'eri S., Long B. Lidar technology applied in coastal studies and management. Journal of Coastal Research 2011, 62:1-5.
41. Pontius R., Millones M. Death to kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing 2011, 32:4407-4429.
42. Rango A., Chopping M., Ritchie J., Havstad K., Kustas W., Schmugge T. Morphological characteristics of shrub coppice dunes in desert grasslands of Southern New Mexico derived from scanning lidar. Remote Sensing of Environment 2000, 74:26-44.
43. Revell D., Komar P., Sallenger A. An application of lidar to analyses of El Niño erosion in the Netarts Littoral Cell, Oregon. Journal of Coastal Research 2002, 18:792-801.
44. Richter A., Faust D., Maas H.G. Dune cliff erosion and beach width change at the northern and southern spits of Sylt detected with multi-temporal lidar. Catena 2013, 103:103-111.
45. Roberston W., Whitman D., Zhang K., Leatherman S.P. Mapping shoreline position using airborne laser altimetry. Journal of Coastal Research 2004, 20:884-892.
46. Ryu J.H., Won J.S., Min K.D. Waterline extraction from Landsat TM data in a tidal flat: A case study in Gomso Bay, Korea. Remote Sensing of Environment 2002, 83:442-456.
47. Saye S., van der Wal D., Pye K. Beach-dune morphological relationships and erosion/accretion: An investigation at five sites in England and Wales using lidar data. Geomorphology 2005, 72:128-155.
48. Schindler K. An overview and comparison of smooth labeling methods for land-cover classification. IEEE Transactions on Geosciences and Remote Sensing 2012, 50:4534-4545.
49. Schmidt A., Rottensteiner F., Soergel U. Classification of airborne laser scanning data in Wadden sea areas using conditional random fields. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2012, XXXIX-B3:161-166.
50. Schmidt A., Rottensteiner F., Soergel U. Water-land-classification in coastal areas with full waveform lidar data. Photogrammetrie, Fernerkundung, Geoinformation 2013, 2:71-81.
51. Schölkopf B., Smola A. Learning with kernels: Support vector machines, regularization, optimization and beyond 2002, The MIT Press, Cambridge, MA, USA.
52. Secord J., Zakhor A. Tree detection in urban regions using aerial lidar and image data. IEEE Geoscience and Remote Sensing Letters 2007, 4:196-200.
53. Shao Y., Lunetta R. Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points. ISPRS Journal of Photogrammetry and Remote Sensing 2012, 70:78-87.
54. Shrestha R., Carter W., Sartori M., Luzum B., Slatton K. Airborne laser swath mapping: Quantifying changes in sandy beaches over time scales of weeks to years. ISPRS Journal of Photogrammetry and Remote Sensing 2005, 59:222-232.
55. Soininen A. Terrascan user's guide available online at:, (Accessed 15 October 2012). http://www.terrasolid.fi/en/users_guide/terrascan_users_guide.
56. Straatsma M., Baptist M. Floodplain roughness parameterization using airborne laser scanning and spectral remote sensing. Remote Sensing of Environment 2008, 112:1062-1080.
57. Straatsma M., Middelkoop H. Airborne laser scanning as a tool for lowland floodplain vegetation monitoring. Hydrobiologia 2006, 565:87-103.
58. Thoma D., Gupta S., Bauer M., Kirchoff C. Airborne laser scanning for riverbank erosion assessment. Remote Sensing of Environment 2005, 95:493-501.
59. White S., Parrish C., Calder B., Pe'eri S., Rzhanov Y. Lidar-derived national shoreline: Empirical and stochastic uncertainty analyses. Journal of Coastal Research 2011, 62:62-74.
60. White S., Wang Y. Utilizing DEMs derived from lidar data to analyze morphologic change in the North Carolina coastline. Remote Sensing of Environment 2003, 85:39-47.
61. Wu T., Lin C.J., Weng R. Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research 2004, 5:975-1005.
62. Yang X. Editorial of the theme issue 'Remote sensing of the coastal ecosystems'. ISPRS Journal of Photogrammetry and Remote Sensing 2008, 63:485-487.
63. Yates M., Guza R., Gutierrez R., Seymour R. A technique for eliminating water returns from lidar beach elevation surveys. Journal of Atmospheric and Oceanic Technology 2008, 25:1671-1682.
64. Young A., Ashford S. Application of airborne lidar for seacliff volumetric change and beach-sediment budget contributions. Journal of Coastal Research 2006, 22:307-318.
65. Yu Y., Acton S. Automated delineation of coastline from polarimetric SAR imagery. International Journal of Remote Sensing 2004, 25:3423-3438.