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Potential problems with using reconstruction in morphological profiles for classification of remote sensing images from urban areas

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Organization
Abstract
Meter to sub-meter 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 a morphological profile [1]. This profile contains information about the size of objects. In literature this is usually combined with morphological reconstruction to better preserve the shapes of objects. In this paper, we show that when used for remote sensing images this leads to 'over-reconstruction', with a decreased classification performance as a result. We propose a new method called 'partial reconstruction' to overcome this problem and still be able to preserve the shape of objects. Classification experiments show a better performance with partial reconstruction.

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MLA
Bellens, Rik et al. “Potential Problems with Using Reconstruction in Morphological Profiles for Classification of Remote Sensing Images from Urban Areas.” IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12. New York: IEEE, 2007. 2698–2701. Print.
APA
Bellens, R., Martinez-Fonte, L., Gautama, S., Chan, J. C.-W., & Canters, F. (2007). Potential problems with using reconstruction in morphological profiles for classification of remote sensing images from urban areas. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12 (pp. 2698–2701). Presented at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), New York: IEEE.
Chicago author-date
Bellens, Rik, Leyden Martinez-Fonte, Sidharta Gautama, Jonathan Cheung-Wai Chan, and Frank Canters. 2007. “Potential Problems with Using Reconstruction in Morphological Profiles for Classification of Remote Sensing Images from Urban Areas.” In IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12, 2698–2701. New York: IEEE.
Chicago author-date (all authors)
Bellens, Rik, Leyden Martinez-Fonte, Sidharta Gautama, Jonathan Cheung-Wai Chan, and Frank Canters. 2007. “Potential Problems with Using Reconstruction in Morphological Profiles for Classification of Remote Sensing Images from Urban Areas.” In IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12, 2698–2701. New York: IEEE.
Vancouver
1.
Bellens R, Martinez-Fonte L, Gautama S, Chan JC-W, Canters F. Potential problems with using reconstruction in morphological profiles for classification of remote sensing images from urban areas. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12. New York: IEEE; 2007. p. 2698–701.
IEEE
[1]
R. Bellens, L. Martinez-Fonte, S. Gautama, J. C.-W. Chan, and F. Canters, “Potential problems with using reconstruction in morphological profiles for classification of remote sensing images from urban areas,” in IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12, Barcelona, SPAIN, 2007, pp. 2698–2701.
@inproceedings{750776,
  abstract     = {Meter to sub-meter 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 a morphological profile [1]. This profile contains information about the size of objects. In literature this is usually combined with morphological reconstruction to better preserve the shapes of objects. In this paper, we show that when used for remote sensing images this leads to 'over-reconstruction', with a decreased classification performance as a result. We propose a new method called 'partial reconstruction' to overcome this problem and still be able to preserve the shape of objects. Classification experiments show a better performance with partial reconstruction.},
  author       = {Bellens, Rik and Martinez-Fonte, Leyden and Gautama, Sidharta and Chan, Jonathan Cheung-Wai and Canters, Frank},
  booktitle    = {IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12},
  isbn         = {978-1-4244-1211-2},
  language     = {eng},
  location     = {Barcelona, SPAIN},
  pages        = {2698--2701},
  publisher    = {IEEE},
  title        = {Potential problems with using reconstruction in morphological profiles for classification of remote sensing images from urban areas},
  year         = {2007},
}

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