Improved classification accuracy based on the output-level fusion of high-resolution satellite images and airborne LiDAR data in urban area

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 3, 2013, Pages 636-640

  Kim, Yongmin ^a   Kim, Yongil ^b  

^a Korea Research Institute for Human Settlement   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

Building extraction; Classification; Fusion; Segmentation; Urban environment

Indexed keywords

FUSION REACTIONS; IMAGE FUSION; IMAGE SEGMENTATION; OPTICAL RADAR; PIXELS; ROADS AND STREETS; SATELLITE IMAGERY; SATELLITES; TRACKING (POSITION); TRANSPORTATION; URBAN PLANNING;

BUILDING EXTRACTION; CLASSIFICATION ACCURACY; HIGH RESOLUTION SATELLITE IMAGERY; HIGH RESOLUTION SATELLITE IMAGES; LIGHT DETECTION AND RANGING; QUANTITATIVE ACCURACY; SUPERVISED CLASSIFICATION; URBAN ENVIRONMENTS;

CLASSIFICATION (OF INFORMATION);

EID: 84881009307     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2273397     Document Type: Article

References (22)

1. X. Huang, L. Zhang, and P. Li, "Classification and extraction of spatial features in urban areas using high resolution multispectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 2, pp. 260-264, Apr. 2007.
2. L. Bruzzone and L. Carlin, "A multilevel context-based system for classification of very high spatial resolution images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 9, pp. 2587-2600, Sep. 2006.
3. Q. Yu, P. Gong, N. Clinton, G. Biging, M. Kelly, and D. Schirokauer, "Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery," Photogramm. Eng. Remote Sens., vol. 72, no. 7, pp. 799-811, Jul. 2006.
4. A. Puissant, J. Hirsch, and C. Weber, "The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery," Int. J. Remote Sens., vol. 26, no. 4, pp. 733-745, Feb. 2005.
5. Y. Han, H. Kim, J. Choi, and Y. Kim, "A shape-size index extraction for classification of high resolution multispectral satellite images," Int. J. Remote Sens., vol. 33, no. 6, pp. 1682-1700, Mar. 2012.
6. J. Holmgren, A. Persson, and U. Soderman, "Species identification of individual trees by combining high resolution LIDAR data with multispectral images," Int. J. Remote Sens., vol. 29, no. 5, pp. 1537-1552, Mar. 2008.
7. D. S. Lee and J. Shan, "Combining LiDAR elevation data and IKONOS multispectral imagery for coastal classification mapping," Mar. Geod., vol. 26, no. 1/2, pp. 117-127, Jan. 2003.
8. J. D. Jang, "Rural land cover classification using multispectral image and LIDAR data," Korean J. Remote Sens., vol. 22, no. 2, pp. 101-110, Apr. 2006.
9. M. Dalponte, L. Bruzzone, and D. Gianelle, "Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1416-1427, May 2008.
10. T. L. Erdody and L. M. Moskai, "Fusion of LiDAR and imagery for estimating forest canopy fuels," Remote Sens. Environ., vol. 114, no. 4, pp. 725-737, Apr. 2010.
11. T. Schenk and B. Csatho, "Fusion of LIDAR data and aerial imagery for a more complete surface description," Int. Arch. Photogramm. Remote Sens., vol. 34, no. 3A, pp. 310-317, 2002.
12. R. A. Hill and A. G. Thomson, "Mapping woodland species composition and structure using airborne spectral and LIDAR data," Int. J. Remote Sens., vol. 26, no. 17, pp. 3763-3779, Sep. 2005.
13. F. Rottensteiner, J. Trinder, S. Clode, and K. Kubik, "Using the Dempster-Shafer method for the fusion of LIDAR data and multispectral images for building detection," Inform. Fusion, vol. 6, no. 4, pp. 283-300, Dec. 2005.
14. G. W. Geerling, M. Labrador-Garcia, J. G. P. W. Clevers, A. M. J. Ragas, and A. J. M. Smits, "Classification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data," Int. J. Remote Sens., vol. 28, no. 19, pp. 4263-4284, Sep. 2007.
15. X. Huang, L. Zhang, and W. Gong, "Information fusion of aerial images and LIDAR data in urban areas: Vector-stacking, re-classification and post-processing approaches," Int. J. Remote Sens., vol. 32, no. 1, pp. 69-84, Jan. 2011.
16. Y. M. Kim, "A study on improvement of classification accuracy of aerial imagery based on building detection using airborne LiDAR data," Ph.D. dissertation, Dept. Civil Environ. Eng., Seoul Nat. Univ., Seoul, Korea, 2012.
17. J. H. Yeom, J. H. Lee, D. J. Kim, and Y. I. Kim, "Hierarchical land cover classification using IKONOS and AIRSAR images," Korean J. Remote Sens., vol. 37, no. 4, pp. 435-444, Aug. 2011.
18. Y. Hu, "Automated extraction of digital terrain models, roads and buildings using airborne LiDAR data," Ph.D. dissertation, Dept. Geomatics Eng., The Univ. of Calgary, Calgary, AB, Canada, 2003.
19. Y. M. Kim, Y. D. Eo, A. J. Chang, and Y. I. Kim, "Generation of DTM and building detection based on MPF through integrating airborne lidar data and aerial images," Int. J. Remote Sens., vol. 34, no. 8, pp. 2947-2968, Apr. 2013.
20. J. C. Jiménez-Muñoz, J. A. Sobrino, A. Gillespie, D. Sabol, and W. T. Gustafson, "Improved land surface emissivities over agricultural areas using ASTER NDVI," Remote Sens. Environ., vol. 103, no. 4, pp. 474-487, Aug. 2006.
21. Y. Byun, D. Kim, J. Lee, and Y. Kim, "A framework for the segmentation of high-resolution satellite imagery using modified seeded-region growing and region merging," Int. J. Remote Sens., vol. 32, no. 16, pp. 4589-4609, Aug. 2011.
22. Y. M. Kim, A. J. Chang, and Y. I. Kim, "Extraction of building boundary on aerial image using segmentation and overlaying algorithm," Korean Soc. Surveying, Geod., Photogramm. Cartogr., vol. 30, no. 1, pp. 49-58, Feb. 2012.