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Martínez, E.Corresponding AuthorArquero, A.AuthorMolina, I.Author

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June 9, 2019
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Article

Optimizing Panchromatic Image Change Detection Based on Change Index Multiband Image Analysis

Publicated to: IEEE Latin America Transactions. 13 (3): 870-875 - 2015-03-01 13(3), DOI: 10.1109/TLA.2015.7069117

Authors:

Martinez, E; Arquero, A; Molina, I
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Affiliations

Univ Politecn Madrid, E-28040 Madrid, Spain - Author

Abstract

This work proposes an optimization of a semi-supervised Change Detection methodology based on a combination of Change Indices (CI) derived from an image multitemporal data set. For this purpose, SPOT 5 Panchromatic images with 2.5 m spatial resolution have been used, from which three Change Indices have been calculated. Two of them are usually known indices; however the third one has been derived considering the Kullbak-Leibler divergence. Then, these three indices have been combined forming a multiband image that has been used in as input for a Support Vector Machine (SVM) classifier where four different discriminant functions have been tested in order to differentiate between change and no_change categories. The performance of the suggested procedure has been assessed applying different quality measures, reaching in each case highly satisfactory values. These results have demonstrated that the simultaneous combination of basic change indices with others more sophisticated like the Kullback-Leibler distance, and the application of non-parametric discriminant functions like those employees in the SVM method, allows solving efficiently a change detection problem.
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Keywords

AlgorithmsChange detectionChange indicesFusionKullback-leibler distancePerformanceRelative radiometric normalizationRemotely-sensed dataSpot imagesSupport vector machines

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE Latin America Transactions, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Computer Science, Information Systems, give it significant recognition in a specific niche of scientific knowledge at an international level.

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Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/35710/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 498
  • Downloads: 377
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MARTINEZ IZQUIERDO, M.ESTIBALIZ) and Last Author (MOLINA SANCHEZ, IÑIGO).

the author responsible for correspondence tasks has been MARTINEZ IZQUIERDO, M.ESTIBALIZ.

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