Partially supervised hierarchical classification for urban features from lidar data with aerial imagery

International Journal of Remote Sensing

Volumn 34, Issue 1, 2013, Pages 190-210

  Guan, Haiyan ^a   Ji, Zheng ^b   Zhong, Liang ^c   Li, Jonathan ^a   Ren, Que ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b WUHAN UNIVERSITY   (China)

^c Changjiang Spatial Information Technology Engineering Company   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; CLASSIFICATION (OF INFORMATION); IMAGE ENHANCEMENT; KNOWLEDGE BASED SYSTEMS; MAXIMUM LIKELIHOOD; OPTICAL RADAR; REMOTE SENSING;

AUTOMATED CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION PROCEDURE; CLASSIFICATION RESULTS; HIERARCHICAL CLASSIFICATION; IMAGE-BASED CLASSIFICATION; MAXIMUM LIKELIHOOD CLASSIFICATIONS; TRAINING SAMPLE SELECTION;

IMAGE CLASSIFICATION;

EID: 84868113313     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.712228     Document Type: Article

References (51)

1. Axelsson, P. 2000. "DEM Generation From Laser Scanner Data Using Adaptive TIN Models." International Archives of the Photogrammetry and Remote Sensing 33, no. B4/1: 110-17.
2. Blaschke, T. 2010. "Object Based Image Analysis for Remote Sensing." ISPRS Journal of Photogrammetry and Remote Sensing 65, no. 1: 2-16.
3. Burghardt, D., and S. Steiniger. 2005. "Usage of Principal Component Analysis in the Process of Automated Generalization." In Proceedings of the Twenty-second International Cartographic Association Conference, A Coruña, Spain, July 8-9 (CD-ROM).
4. Carlberg, M., P. Gao, G. Chen, and A. Zakhor. 2009. "Classifying Urban Landscape in Aerial LiDAR using 3D Shape Analysis." IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 7-10.
5. Chehata, N., L. Guo, and C. Mallet. 2009. "Airborne Lidar Feature Selection for Urban Classification Using Random Forests." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 39, Part 3/W8: 207-12.
6. Congalton, R. G. 1991. "A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data." Remote Sensing of Environment 37, no. 1: 35-46.
7. Congalton, R. G., and K. Green. 2009. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. 2nd ed. Boca Raton, FL: Taylor & Francis.
8. Congalton, R. G., R. G. Oderwald, and R. A. Mead. 1983. "Assessing Landsat Classification
9. Accuracy Using Discrete Multivariate Statistical Techniques." Photogrammetric Engineering and Remote Sensing 49, no. 12: 1671-78.
10. Dalponte, M., L. Bruzzone, and D. Gianelle. 2008. "Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas." IEEE Transactions on Geoscience and Remote Sensing 46, no. 5: 1416-27.
11. Fitzpatrick-Lines, K. 1981. "Comparison of Sampling Procedures and Data Analysis for a Land Use and Land Cover Maps." Photogrammetric Engineering and Remote Sensing 47, no. 3: 343-51.
12. Foody, G. M., A. Mathur, C. Sanchez-Hernandez, and D. S. Boyd. 2006. "Training Set Size Requirements for the Classification of a Specific Class." Remote Sensing of Environment 104: 1-14.
13. Gislason, P. O., J. A. Benediktsson, and J. R. Sveinsson. 2006. "Random Forests for Land Cover Classification." Pattern Recognition Letters 27, no. 4: 294-300.
14. Goodwin, N. R., N. C. Coops, T. R. Tooke, A. Christen, and J. A. Voogt. 2009. "Characterizing Urban Surface Cover and Structure with Airborne Lidar Technology." Canadian Journal of Remote Sensing 35, no. 3: 297-309.
15. Gross, H., and U. Thoennessen. 2006. "Extraction of Lines from Laser Point Clouds." In Symposium of ISPRS Commission III: Photogrammetric Computer Vision PCV06. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (Part 3), edited by W. Förstner and R. Steffen, 86-91.
16. Guan, H., J. Li, M. A. Chapman, L. Zhong, and R. Que. 2011. "Support Vector Machine for Urban Land-use Classification Using Lidar Point Clouds and Aerial Imagery." International Symposium on LiDAR and RADAR Mapping: Technologies and Applications, Nanjing, China, May 26-29.
17. Gumhold, S., X. Wang, and R. Mcleod. 2001. "Feature Extraction from Point Clouds." Proceedings of 10th International Meshing Roundtable, 293-305, Newport Beach, CA, October 7-10.
18. Guo, L., N. Chehata, C. Mallet, and S. Boukir. 2011. "Relevance of Airborne Lidar and Multispectral Image Data for Urban Scene Classification Using Random Forests." ISPRS Journal of Photogrammetry and Remote Sensing 66, no. 1: 56-66.
19. He, D., and L. Wang. 1992. "Unsupervised Texture Classification of Images Using the Texture Spectrum." Pattern Recognition 25, no. 3: 247-55.
20. Heinzle, F., K. Anders, and M. Sester. 2006. "Pattern Recognition in Road Networks on the Example of Circular Road Detection." In Proceedings of Geographic Information Science: 4th International Conference, GIScience, edited by M. Raubal, H. J. Miller, A. U. Frank, and M. F. Goodchild, 153-67. Munster, Germany, September 20-23. Berlin: Springer-Verlag.
21. Hodgson, M. E., J. R. Jensen, J. A. Tullis, K. D. Riordan, and C. M. Archer. 2003. "Synergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness." Photogrammetric Engineering and Remote Sensing 69, no. 9: 973-80.
22. Huang, M., S. Shyue, L. Lee, and C. Kao. 2008. "A Knowledge-Based Approach to Urban Feature Classification Using Aerial Imagery with Lidar Data." Photogrammetric Engineering and Remote Sensing 74, no. 12: 1473-85.
23. Jensen, J. R. 2005. Introductory Digital Image Processing: A Remote Sensing Perspective. 3rd ed. 352, Prentice Hall Series in Geographic Information Science. Englewood Cliffs, NJ: Prentice Hall.
24. Jeon, B., and D. A. Landgrebe. 2002. "Partially Supervised Classification Using Weighted Unsupervised Clustering." IEEE Transactions on Geoscience and Remote Sensing 37, no. 2: 1073-79.
25. Jones, T. G., N. C. Coops, and T. Sharma. 2010. "Assessing the Utility of Airborne Hyperspectral and LiDAR Data for Species Distribution Mapping in the Coastal Pacific Northwest, Canada." Remote Sensing of Environment 114, no. 12: 2841-52.
26. Jutzi, B., and H. Gross. 2009. "Normalization of Lidar Intensity Data Based on Range and Surface Incidence Angle." Proceedings of ISPRS Workshop: Laserscanning 2009, Paris, France, XXXVIII (Part 3/W8): 213-18.
27. Ke, Y., L. J. Quackenbush, and J. Im. 2010. "Synergistic Use of Quickbird Multispectral Imagery and Lidar Data for Object-Based Forest Species Classification." Remote Sensing of Environment 14, no. 6: 1141-54.
28. Khoshelham, K., C. Nardinocchi, E. Frontoni, A. Mancini, and P. Zingaretti. 2010. "Performance Evaluation of Automated Approaches to Building Detection inMulti-Source Aerial Data." ISPRS Journal of Photogrammetry and Remote Sensing 65, no. 1: 123-33.
29. Koetz, B., F. Morsdorf, S. Van der Linden, T. Curt, and B. Allgower. 2008. "Multi-Source Land Cover Classification for Forest Fire Management Based on Imaging Spectrometry and Lidar Data." Forest Ecology and Management 256: 263-71.
30. Liu, K., W. Shi, and H. Zhang. 2011. "A Fuzzy Topology-Based Maximum Likelihood Classification." ISPRS Journal of Photogrammetry and Remote Sensing 66: 103-14.
31. Liu, X. H., A. K. Skidmore, and H. V. Oosten. 2002. "Integration of Classification Methods for Improvement of Land-Cover Map Accuracy." ISPRS Journal of Photogrammetry and Remote Sensing 56, no. 4: 257-68.
32. Lu, D., S. Hetrick, and E. Moran. 2010. "Land Cover Classification in a Complex Urban-Rural Landscape with Quickbird Imagery." Photogrammetric Engineering and Remote Sensing 76, no. 10: 1159-68.
33. Mesev, V., B. Gorte, and P. A. Longley. 2001. "Modified Maximum-Likelihood Classification Algorithms and their Application to Urban Remote Sensing." In Remote Sensing and Urban Analysis, edited by J. P. Donnay, M. Barnsley, and P. A. Longley, 71-94. London: Taylor and Francis.
34. Miliaresis, G., and N. Kokkas. 2007. "Segmentation and Object-Based Classification for the Extraction of Building Class from LIDAR DEMs." Computers and Geosciences 33, no. 8: 1076-87.
35. Pal, M. 2005. "Random Forest Classifier for Remote Sensing Classification." International Journal of Remote Sensing 26, no. 1: 217-22.
36. Perona, P., and J. Malik. 1990. "Scale-Space and Edge Detection Using Anisotropic Diffusion." IEEE Transactions on Pattern Analysis and Machine Intelligence 12, no. 7: 629-39.
37. Repake, R. S., D. Truax, E. Kolstad, and C. Hara. 2004. "Comparing Spectral and Object Based Approaches for Classification and Transportation Feature Extraction from High Resolution Multispectral Imagery." ASPRS annual conference processing, 204-15, Denver, CO,May 23-28 (CD-ROM).
38. Richards, J. A., and X. Jia. 2006. Remote Sensing Digital Image Analysis: An Introduction. 4th ed. Berlin: Springer-Verlag.
39. Secord, J., and A. Zakhor. 2007. "Tree Detection in Urban Regions Using Aerial Lidar and Image Data." IEEE Geoscience and Remote Sensing Letters 4, no. 2: 196-200.
40. Segl, K., S. Roessner, U. Heiden, and H. Kaufmann. 2003. "Fusion of Spectral and Shape Features for Identification of Urban Surface Cover Types Using Reflective and Thermal Hyperspectral Data." ISPRS Journal of Photogrammetry and Remote Sensing 58, no. 1-2: 99-112.
41. Shan, J., and S. Lee. 2003. "Combining Lidar Elevation Data and Ikonos Multispectral Imagery for Coastal Classification Mapping." Marine Geodesy 26, no. 1-2: 117-27.
42. Smith, A. 2010. "Image Segmentation Scale Parameter Optimization and Land Cover Classification Using the Random Forest Algorithm." Journal of Spatial Science 55, no. 1: 69-79.
43. South, S., J. Qi, and D. P. Lusch. 2004. "Optimal Classification Methods for Mapping Agricultural Tillage Practices." Remote Sensing of Environment 91, no. 1: 90-7.
44. Story, M., and R. G. Congalton. 1986. "Accuracy Assessment: A User's Perspective." Photogrammetric Engineering and Remote Sensing 52, no. 3: 397-9.
45. Trinder, J. C., and M. Salah, 2011. "Support Vector Machines: Optimization and Validation for Land Cover Mapping Using Aerial Images and Lidar Data." 34th International Symposium on Remote Sensing of Environment, Sydney, April 10-15.
46. Tso, B., and P. M. Mather. 2001. Classification Methods for Remotely Sensed Data. London: Taylor & Francis.
47. Tuia, D., E. Pasolli, and W. J. Emery. 2011. "Using Active Learning to Adapt Remote Sensing Image Classifiers." Remote Sensing of Environment 115, no. 9: 2232-42.
48. van der Werff, H. M. A., and F. D. van der Meer. 2008. "Shape-Based Classification of Spectrally Identical Objects." ISPRS Journal of Photogrammetry and Remote Sensing 63, no. 2: 251-8.
49. Volpi, M., D. Tuia, and M. Kanevski. 2010. "Advanced Active Sampling for Remote Sensing Image Classification." Proceedings of 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1414-17, Honolulu, HI, July 25-30.
50. Wang, C., M. Menenti, M. Stoll, A. Feola, E. Belluco, and M. Marani. 2009. "Separation of Ground and Low Vegetation Signatures in LiDAR Measurements of Salt-Marsh Environments." IEEE Transactions on Geoscience and Remote Sensing 47, no. 7: 2014-23.
51. Zhang, R., and D. Zhu. 2011. "Study of Land Cover Classification Based on Knowledge Rules Using High-Resolution Remote Sensing Images." Expert Systems with Applications 38, no. 4: 3647-52.