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Cited by 722

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Morphological Attribute Profiles for the Analysis of Very High Resolution Images

Dalla Mura, Mauro, Benediktsson, Jón Atli, Waske, Björn, Bruzzone, Lorenzo·2010·IEEE Transactions on Geoscience and Remote Sensing
DOI 10.1109/tgrs.2010.2048116
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Abstract

Morphological attribute profiles (APs) are defined as a generalization of the recently proposed morphological profiles (MPs). APs provide a multilevel characterization of an image created by the sequential application of morphological attribute filters that can be used to model different kinds of the structural information. According to the type of the attributes considered in the morphological attribute transformation, different parametric features can be modeled. The generation of APs, thanks to an efficient implementation, strongly reduces the computational load required for the computation of conventional MPs. Moreover, the characterization of the image with different attributes leads to a more complete description of the scene and to a more accurate modeling of the spatial information than with the use of conventional morphological filters based on a predefined structuring element. Here, the features extracted by the proposed operators were used for the classification of two very high resolution panchromatic images acquired by Quickbird on the city of Trento, Italy. The experimental analysis proved the usefulness of APs in modeling the spatial information present in the images. The classification maps obtained by considering different APs result in a better description of the scene (both in terms of thematic and geometric accuracy) than those obtained with an MP.

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Research works printed but not linked: 12

  1. 10.1109/TGRS.2008.2000628 · doi:10.1109/tgrs.2008.2000628
  2. 10.1109/LGRS.2008.917726 · doi:10.1109/lgrs.2008.917726
  3. dalla mura, 2009, Morphological attribute filters for the analysis of very high resolution images, Proc IEEE IGARSS, iii, 97
  4. dalla mura, 2009, Modeling structural information for building extraction with morphological attribute filters, SPIE-Remote Sensing Europe Proceedings, 747703, 10.1117/12.836021 · doi:10.1117/12.836021
  5. 10.1023/A:1008324520475 · doi:10.1023/a:1008324520475
  6. 10.1109/IGARSS.2008.4778978 · doi:10.1109/igarss.2008.4778978
  7. 10.1109/TGRS.2008.916644 · doi:10.1109/tgrs.2008.916644
  8. 10.1109/LGRS.2005.856117 · doi:10.1109/lgrs.2005.856117
  9. urbach, 2002, shape-only granulometries and grey-scale shape filters, Proc ISMM, 305
  10. 10.1109/TPAMI.2007.28 · doi:10.1109/tpami.2007.28
  11. 10.1109/TPAMI.2007.70836 · doi:10.1109/tpami.2007.70836
  12. 10.1109/34.993556 · doi:10.1109/34.993556

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Metadata

Authors
Dalla Mura, M., Benediktsson, J. A., Waske, B., & Bruzzone, L.
Venue
IEEE Transactions on Geoscience and Remote Sensing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2010-10
Volume
48
Issue
10
Pages
3747-3762
ISSN
0196-2892 (ISSN-L)
DOI
10.1109/tgrs.2010.2048116
OpenAlex
W2127199143
Cited by
722
References
20
FWCI
54.17
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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CoChat. (2026). Citation check: Morphological Attribute Profiles for the Analysis of Very High Resolution Images. https://app.cochat.ai/papers/10.1109/tgrs.2010.2048116
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Dalla Mura, M., Benediktsson, J. A., Waske, B., & Bruzzone, L. (2010). Morphological Attribute Profiles for the Analysis of Very High Resolution Images. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2010.2048116

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