Self-dual attribute profiles for the analysis of remote sensing images

Mauro Dalla Mura; Jon Atli Benediktsson; Lorenzo Bruzzone

doi:10.1007/978-3-642-21569-8_28

Self-dual attribute profiles for the analysis of remote sensing images

Mauro Dalla Mura^*, Jon Atli Benediktsson, Lorenzo Bruzzone

^*Corresponding author for this work

University of Iceland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

36 Citations (Scopus)

Abstract

The spatial relations are essential information that should be considered when analyzing remote sensing images. Attribute profiles (combinations of an anti-granulometry and a granulometry computed with connected operators based on attributes) can be employed for the modeling of the spatial information of the surveyed scene. In this paper we propose self-dual attribute profiles which are attribute profiles computed on an inclusion tree with self-dual operators. The proposed variant of the attribute profile was effectively considered for the classification of a very high geometrical resolution remote sensing image.

Original language	English
Title of host publication	Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings
Pages	320-330
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-21569-8_28
Publication status	Published - 2011
Event	10th International Symposium on Mathematical Morphology, ISMM 2011 - Verbania-Intra, Italy Duration: 6 Jul 2011 → 8 Jul 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6671 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Symposium on Mathematical Morphology, ISMM 2011
Country/Territory	Italy
City	Verbania-Intra
Period	6/07/11 → 8/07/11

Access to Document

10.1007/978-3-642-21569-8_28

Cite this

Dalla Mura, M., Benediktsson, J. A., & Bruzzone, L. (2011). Self-dual attribute profiles for the analysis of remote sensing images. In Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings (pp. 320-330). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6671 LNCS). https://doi.org/10.1007/978-3-642-21569-8_28

Dalla Mura, Mauro ; Benediktsson, Jon Atli ; Bruzzone, Lorenzo. / Self-dual attribute profiles for the analysis of remote sensing images. Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings. 2011. pp. 320-330 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6a91c0fe6bb742df9058f2eeaba76395,

title = "Self-dual attribute profiles for the analysis of remote sensing images",

abstract = "The spatial relations are essential information that should be considered when analyzing remote sensing images. Attribute profiles (combinations of an anti-granulometry and a granulometry computed with connected operators based on attributes) can be employed for the modeling of the spatial information of the surveyed scene. In this paper we propose self-dual attribute profiles which are attribute profiles computed on an inclusion tree with self-dual operators. The proposed variant of the attribute profile was effectively considered for the classification of a very high geometrical resolution remote sensing image.",

author = "{Dalla Mura}, Mauro and Benediktsson, {Jon Atli} and Lorenzo Bruzzone",

year = "2011",

doi = "10.1007/978-3-642-21569-8_28",

language = "English",

isbn = "9783642215681",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "320--330",

booktitle = "Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings",

note = "10th International Symposium on Mathematical Morphology, ISMM 2011 ; Conference date: 06-07-2011 Through 08-07-2011",

}

Dalla Mura, M, Benediktsson, JA & Bruzzone, L 2011, Self-dual attribute profiles for the analysis of remote sensing images. in Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6671 LNCS, pp. 320-330, 10th International Symposium on Mathematical Morphology, ISMM 2011, Verbania-Intra, Italy, 6/07/11. https://doi.org/10.1007/978-3-642-21569-8_28

Self-dual attribute profiles for the analysis of remote sensing images. / Dalla Mura, Mauro; Benediktsson, Jon Atli; Bruzzone, Lorenzo.

Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings. 2011. p. 320-330 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6671 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Self-dual attribute profiles for the analysis of remote sensing images

AU - Dalla Mura, Mauro

AU - Benediktsson, Jon Atli

AU - Bruzzone, Lorenzo

PY - 2011

Y1 - 2011

N2 - The spatial relations are essential information that should be considered when analyzing remote sensing images. Attribute profiles (combinations of an anti-granulometry and a granulometry computed with connected operators based on attributes) can be employed for the modeling of the spatial information of the surveyed scene. In this paper we propose self-dual attribute profiles which are attribute profiles computed on an inclusion tree with self-dual operators. The proposed variant of the attribute profile was effectively considered for the classification of a very high geometrical resolution remote sensing image.

AB - The spatial relations are essential information that should be considered when analyzing remote sensing images. Attribute profiles (combinations of an anti-granulometry and a granulometry computed with connected operators based on attributes) can be employed for the modeling of the spatial information of the surveyed scene. In this paper we propose self-dual attribute profiles which are attribute profiles computed on an inclusion tree with self-dual operators. The proposed variant of the attribute profile was effectively considered for the classification of a very high geometrical resolution remote sensing image.

UR - http://www.scopus.com/inward/record.url?scp=79960212852&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-21569-8_28

DO - 10.1007/978-3-642-21569-8_28

M3 - Conference contribution

AN - SCOPUS:79960212852

SN - 9783642215681

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 320

EP - 330

BT - Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings

T2 - 10th International Symposium on Mathematical Morphology, ISMM 2011

Y2 - 6 July 2011 through 8 July 2011

ER -

Dalla Mura M, Benediktsson JA, Bruzzone L. Self-dual attribute profiles for the analysis of remote sensing images. In Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings. 2011. p. 320-330. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-21569-8_28

Self-dual attribute profiles for the analysis of remote sensing images

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this