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

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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.

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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.
@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},
}

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