The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images

Arianna Traviglia

The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images

Arianna Traviglia

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

Abstract

This paper will focus on ways to manage large numbers of remotely sensed data images as results of image processing, a primary problem especially for those dealing with hyperspectral images that pose considerable issues due to the elevated number of channels. While briefly introducing the results of the application of several common image processing techniques in the target area of Aquileia (NE Italy), the current paper will discuss the necessity to define a set of procedures to reduce the number of final images to be used for visual inspection, selecting the ones that do not carry redundant information. Consequently, cross process coverage, detected traces evaluation and process validity tables will be presented and the results of their application discussed in order to provide information about how to reduce the images to a small number and be able to insure the complete coverage as regards to the detectable traces.

Original language	English
Title of host publication	Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management
Editors	R. Lasaponara, N. Masini
Place of Publication	Rome
Publisher	Aracne
Pages	85-89
Number of pages	5
ISBN (Print)	9788854820302
Publication status	Published - 2008
Event	International EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management' - Rome Duration: 30 Sept 2008 → 4 Oct 2008

Workshop

Workshop	International EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management'
City	Rome
Period	30/09/08 → 4/10/08

Keywords

MIVIS
hyperspectral images
image processing
image evaluation
GIS
Aquileia (Italy)

Cite this

Traviglia, A. (2008). The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images. In R. Lasaponara, & N. Masini (Eds.), Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management (pp. 85-89). Aracne.

Traviglia, Arianna. / The combinatorial explosion : defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images. Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management. editor / R. Lasaponara ; N. Masini. Rome : Aracne, 2008. pp. 85-89

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title = "The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images",

abstract = "This paper will focus on ways to manage large numbers of remotely sensed data images as results of image processing, a primary problem especially for those dealing with hyperspectral images that pose considerable issues due to the elevated number of channels. While briefly introducing the results of the application of several common image processing techniques in the target area of Aquileia (NE Italy), the current paper will discuss the necessity to define a set of procedures to reduce the number of final images to be used for visual inspection, selecting the ones that do not carry redundant information. Consequently, cross process coverage, detected traces evaluation and process validity tables will be presented and the results of their application discussed in order to provide information about how to reduce the images to a small number and be able to insure the complete coverage as regards to the detectable traces.",

keywords = "MIVIS, hyperspectral images, image processing, image evaluation, GIS, Aquileia (Italy)",

author = "Arianna Traviglia",

year = "2008",

language = "English",

isbn = "9788854820302",

pages = "85--89",

editor = "R. Lasaponara and N. Masini",

booktitle = "Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management",

publisher = "Aracne",

note = "International EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management' ; Conference date: 30-09-2008 Through 04-10-2008",

}

Traviglia, A 2008, The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images. in R Lasaponara & N Masini (eds), Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management. Aracne, Rome, pp. 85-89, International EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management', Rome, 30/09/08.

The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images. / Traviglia, Arianna.
Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management. ed. / R. Lasaponara; N. Masini. Rome: Aracne, 2008. p. 85-89.

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

TY - GEN

T1 - The combinatorial explosion

T2 - International EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management'

AU - Traviglia, Arianna

PY - 2008

Y1 - 2008

N2 - This paper will focus on ways to manage large numbers of remotely sensed data images as results of image processing, a primary problem especially for those dealing with hyperspectral images that pose considerable issues due to the elevated number of channels. While briefly introducing the results of the application of several common image processing techniques in the target area of Aquileia (NE Italy), the current paper will discuss the necessity to define a set of procedures to reduce the number of final images to be used for visual inspection, selecting the ones that do not carry redundant information. Consequently, cross process coverage, detected traces evaluation and process validity tables will be presented and the results of their application discussed in order to provide information about how to reduce the images to a small number and be able to insure the complete coverage as regards to the detectable traces.

AB - This paper will focus on ways to manage large numbers of remotely sensed data images as results of image processing, a primary problem especially for those dealing with hyperspectral images that pose considerable issues due to the elevated number of channels. While briefly introducing the results of the application of several common image processing techniques in the target area of Aquileia (NE Italy), the current paper will discuss the necessity to define a set of procedures to reduce the number of final images to be used for visual inspection, selecting the ones that do not carry redundant information. Consequently, cross process coverage, detected traces evaluation and process validity tables will be presented and the results of their application discussed in order to provide information about how to reduce the images to a small number and be able to insure the complete coverage as regards to the detectable traces.

KW - MIVIS

KW - hyperspectral images

KW - image processing

KW - image evaluation

KW - GIS

KW - Aquileia (Italy)

M3 - Conference proceeding contribution

SN - 9788854820302

SP - 85

EP - 89

BT - Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management

A2 - Lasaponara, R.

A2 - Masini, N.

PB - Aracne

CY - Rome

Y2 - 30 September 2008 through 4 October 2008

ER -

Traviglia A. The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images. In Lasaponara R, Masini N, editors, Proceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management. Rome: Aracne. 2008. p. 85-89

The combinatorial explosion: defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images

Abstract

Workshop

Keywords

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Cite this