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Extended profiles with morphological attribute filters for the analysis of hyperspectral data

Dalla Mura, Mauro, Atli Benediktsson, Jon, Waske, Björn, Bruzzone, Lorenzo·2010·International Journal of Remote Sensing

Abstract

Extended attribute profiles and extended multi-attribute profiles are presented for the analysis of hyperspectral high-resolution images. These extended profiles are based on morphological attribute filters and, through a multi-level analysis, are capable of extracting spatial features that can better model the spatial information, with respect to conventional extended morphological profiles. The features extracted by the proposed extended profiles were considered for a classification task. Two hyperspectral high-resolution datasets acquired for the city of Pavia, Italy, were considered in the analysis. The effectiveness of the introduced operators in modelling the spatial information was proved by the higher classification accuracies obtained with respect to those achieved by a conventional extended morphological profile.

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Metadata

Authors
Dalla Mura, M., Atli Benediktsson, J., Waske, B., & Bruzzone, L.
Venue
International Journal of Remote Sensing
Published
2010-12-04
Volume
31
Issue
22
Pages
5975-5991
ISSN
  • 0143-1161 (ISSN-L)
  • 1366-5901
OpenAlex
W2083541351
Cited by
373
References
23
FWCI
22.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extended profiles with morphological attribute filters for the analysis of hyperspectral data. https://app.cochat.ai/papers/10.1080/01431161.2010.512425
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Dalla Mura, M., Atli Benediktsson, J., Waske, B., & Bruzzone, L. (2010). Extended profiles with morphological attribute filters for the analysis of hyperspectral data. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2010.512425

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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