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The Evolution of the Morphological Profile: from Panchromatic to Hyperspectral Images

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Optical Remote Sensing

Part of the book series: Augmented Vision and Reality ((Augment Vis Real,volume 3))

Abstract

Almost a decade has passed since the concept of morphological profile (MP) was defined for the analysis of panchromatic remote sensing images. From that time, the MP has largely proved to be a powerful tool able to model the spatial information (e.g., contextual relations) of the image by extracting structural features (e.g., size, geometry, etc.) from the objects present in the scene. The MP processes an input image with a sequence of progressively coarser filters. This leads to a stack of filtered images showing an increasing simplification of the scene. The evaluation of how the objects in the image interact with the filters gives information on the objects structural features. The great amount of contributions present in the literature that address the application of MP to many tasks (e.g., classification, object detection, segmentation, change detection, etc.) and to different types of images (e.g., panchromatic, multispectral, hyperspectral) proves how MP is still an effective and modern tool. Moreover, many variants, extensions and refinements of its definition have also appeared stating that the MP is still under continuous development. This chapter presents the MP from its early definition to the recent advances based on morphological attribute filters. The overview of many significant contributions that have appeared in this decade allows the reader to track the evolution of the MP from the analysis of panchromatic to hyperspectral images.

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Acknowledgments

This work was in part supported by the Research Fund of the University of Iceland and the University of Trento.

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Authors and Affiliations

  1. Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 14, 38123, Povo, Trento, Italy

    Mauro Dalla Mura & Lorenzo Bruzzone

  2. Faculty of Electrical and Computer Engineering, University of Iceland, Hjardarhaga 2-6, 101, Reykjavik, Iceland

    Mauro Dalla Mura & Jon Atli Benediktsson

  3. GIPSA-Laboratory, Signal and Image Department, Grenoble Institute of Technology (INP), France 961 rue de la Houille Blanche, 38402, Grenoble Cedex, France

    Jocelyn Chanussot

Authors
  1. Mauro Dalla Mura
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  2. Jon Atli Benediktsson
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  3. Jocelyn Chanussot
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  4. Lorenzo Bruzzone
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Corresponding author

Correspondence to Mauro Dalla Mura .

Editor information

Editors and Affiliations

  1. Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, 39762, Mississippi, USA

    Saurabh Prasad

  2. Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, 39762, Mississippi, USA

    Lori M. Bruce

  3. Institut Polytechnique de Grenoble, av. Félix Viallet 46, Grenoble CX 1, 38000, France

    Jocelyn Chanussot

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© 2011 Springer-Verlag Berlin Heidelberg

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Dalla Mura, M., Benediktsson, J.A., Chanussot, J., Bruzzone, L. (2011). The Evolution of the Morphological Profile: from Panchromatic to Hyperspectral Images. In: Prasad, S., Bruce, L., Chanussot, J. (eds) Optical Remote Sensing. Augmented Vision and Reality, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14212-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-14212-3_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14211-6

  • Online ISBN: 978-3-642-14212-3

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