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Analysis of institutional authors

Arquero, A.Corresponding AuthorMartínez, E.Author

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June 9, 2019
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Article

Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data

Publicated to: IEEE Latin America Transactions. 9 (1): 735-742 - 2011-03-01 9(1), DOI: 10.1109/TLA.2011.5876413

Authors:

Arquero, A; Martínez, E
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Affiliations

Univ Politecn Madrid, Dept Arquitectura & Tecnol Sistemas Informat, Fac Informat - Author

Abstract

The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modelling.
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Keywords

Aerial photographyHydraulic modelingHydraulic modellingImage classificationLand-cover classificationLidar (light detection and ranging)Models

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.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-28:

  • WoS: 1
  • Scopus: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-28:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 9 (PlumX).

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/11218/

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: 632
  • Downloads: 510
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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 (ARQUERO HIDALGO, AGUEDA) and Last Author (MARTINEZ IZQUIERDO, M.ESTIBALIZ).

the author responsible for correspondence tasks has been ARQUERO HIDALGO, AGUEDA.

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