Ghent University Academic Bibliography

Advanced

Improved classification of VHR images of urban areas using directional morphological profiles

Rik Bellens UGent, Sidharta Gautama UGent, Leyden Martinez-Fonte, Wilfried Philips UGent, Jonathan Cheung-Wai Chan and Frank Canters UGent (2008) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 46(10). p.2803-2812
abstract
Meter to submeter resolution satellite images have generated new interests in extracting man-made structures in the urban area. However, classification accuracies for such purposes are far from satisfactory. Spectral characteristics of urban land cover classes are so similar that they cannot be separated using only spectral information. As a result, there is an increased interest in incorporating geometrical information. One possible approach is the use of morphological profiles (MPs). In this paper, we introduce two improvements on the use of MPs. Current approaches use disk-shaped structuring elements (SEs) to derive an MP. This profile contains information about the minimum dimension of objects. In this paper, we extend this approach by using linear SEs. This results in a profile containing information about the maximum object dimension. We show that the addition of the line-based NIP gives a substantial improvement of the classification result. A second improvement is achieved by using "partial morphological reconstruction" instead of the normal morphological reconstruction. Morphological reconstruction is commonly used to better preserve the shape of objects. However, we show that this leads to "over-reconstruction" in typical remote sensing images and a decreased classification performance. With "partial reconstruction," we are able to overcome this problem and still preserve the shape of objects.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
journal title
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
IEEE Trans. Geosci. Remote Sensing
volume
46
issue
10
issue title
2007 Intern.Geoscience symposium IGARSS 07
pages
2803 - 2812
publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
place of publication
PISCATAWAY
Web of Science type
Proceedings Paper
Web of Science id
000260000300005
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
3.157 (2008)
JCR rank
21/229 (2008)
JCR quartile
1 (2008)
ISSN
0196-2892
DOI
10.1109/TGRS.2008.2000628
language
English
UGent publication?
yes
classification
A1
id
496955
handle
http://hdl.handle.net/1854/LU-496955
date created
2009-02-18 10:32:28
date last changed
2015-06-17 11:08:02
@article{496955,
  abstract     = {Meter to submeter resolution satellite images have generated new interests in extracting man-made structures in the urban area. However, classification accuracies for such purposes are far from satisfactory. Spectral characteristics of urban land cover classes are so similar that they cannot be separated using only spectral information. As a result, there is an increased interest in incorporating geometrical information. One possible approach is the use of morphological profiles (MPs). In this paper, we introduce two improvements on the use of MPs. Current approaches use disk-shaped structuring elements (SEs) to derive an MP. This profile contains information about the minimum dimension of objects. In this paper, we extend this approach by using linear SEs.
This results in a profile containing information about the maximum object dimension. We show that the addition of the line-based NIP gives a substantial improvement of the classification result. A second improvement is achieved by using {\textacutedbl}partial morphological reconstruction{\textacutedbl} instead of the normal morphological reconstruction. Morphological reconstruction is commonly used to better preserve the shape of objects. However, we show that this leads to {\textacutedbl}over-reconstruction{\textacutedbl} in typical remote sensing images and a decreased classification performance. With {\textacutedbl}partial reconstruction,{\textacutedbl} we are able to overcome this problem and still preserve the shape of objects.},
  author       = {Bellens, Rik and Gautama, Sidharta and Martinez-Fonte, Leyden and Philips, Wilfried and Cheung-Wai Chan, Jonathan and Canters, Frank},
  issn         = {0196-2892},
  journal      = {IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING},
  language     = {eng},
  number       = {10},
  pages        = {2803--2812},
  publisher    = {IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC},
  title        = {Improved classification of VHR images of urban areas using directional morphological profiles},
  url          = {http://dx.doi.org/10.1109/TGRS.2008.2000628},
  volume       = {46},
  year         = {2008},
}

Chicago
Bellens, Rik, Sidharta Gautama, Leyden Martinez-Fonte, Wilfried Philips, Jonathan Cheung-Wai Chan, and Frank Canters. 2008. “Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles.” Ieee Transactions on Geoscience and Remote Sensing 46 (10): 2803–2812.
APA
Bellens, R., Gautama, S., Martinez-Fonte, L., Philips, W., Cheung-Wai Chan, J., & Canters, F. (2008). Improved classification of VHR images of urban areas using directional morphological profiles. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 46(10), 2803–2812.
Vancouver
1.
Bellens R, Gautama S, Martinez-Fonte L, Philips W, Cheung-Wai Chan J, Canters F. Improved classification of VHR images of urban areas using directional morphological profiles. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC; 2008;46(10):2803–12.
MLA
Bellens, Rik, Sidharta Gautama, Leyden Martinez-Fonte, et al. “Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 46.10 (2008): 2803–2812. Print.