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Analysis of institutional authors

Gonzalo-Martin CCorresponding AuthorLillo-Saavedra, MarioAuthorGarcía-Pedrero AAuthorCostumero RAuthor

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July 25, 2020
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Local optimal scale in a hierarchical segmentation method for satellite images: An OBIA approach for the agricultural landscape

Publicated to: JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. 46 (3): 517-529 - 2016-06-01 46(3), DOI: 10.1007/s10844-015-0365-4

Authors:

Gonzalo-Martín, C; Lillo-Saavedra, M; Menasalvas, E; Fonseca-Luengo, D; García-Pedrero, A; Costumero, R
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Affiliations

Univ Concepcion, Fac Agr Engn, Vicente Mendez 595, Chillan, Chile - Author
Univ Politecn Madrid, Ctr Tecnol Biomed, Campus Montegancedo, Madrid 28223, Spain - Author
Universidad de Concepción - Author
Universidad Politécnica de Madrid - Author
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Abstract

© 2015, Springer Science+Business Media New York. Over recent decades, remote sensing has emerged as an effective tool for improving agriculture productivity. In particular, many works have dealt with the problem of identifying characteristics or phenomena of crops and orchards on different scales using remote sensed images. Since the natural processes are scale dependent and most of them are hierarchically structured, the determination of optimal study scales is mandatory in understanding these processes and their interactions. The concept of multi-scale/multi-resolution inherent to OBIA methodologies allows the scale problem to be dealt with. But for that multi-scale and hierarchical segmentation algorithms are required. The question that remains unsolved is to determine the suitable scale segmentation that allows different objects and phenomena to be characterized in a single image. In this work, an adaptation of the Simple Linear Iterative Clustering (SLIC) algorithm to perform a multi-scale hierarchical segmentation of satellite images is proposed. The selection of the optimal multi-scale segmentation for different regions of the image is carried out by evaluating the intra-variability and inter-heterogeneity of the regions obtained on each scale with respect to the parent-regions defined by the coarsest scale. To achieve this goal, an objective function, that combines weighted variance and the global Moran index, has been used. Two different kinds of experiment have been carried out, generating the number of regions on each scale through linear and dyadic approaches. This methodology has allowed, on the one hand, the detection of objects on different scales and, on the other hand, to represent them all in a single image. Altogether, the procedure provides the user with a better comprehension of the land cover, the objects on it and the phenomena occurring.
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Keywords

FrameworkHierarchical segmentationHigh resolution imagesMulti-scaleMultiscale segmentationRemote sensingTexture

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF INTELLIGENT INFORMATION SYSTEMS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2016, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Networks and Communications. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Information Systems.

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 2026-04-24:

  • Google Scholar: 26
  • WoS: 17
  • Scopus: 24
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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 2026-04-24:

  • 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: 21 (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/40800/

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: 386
  • Downloads: 349
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Chile.

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 (GONZALO MARTIN, CONSUELO) and Last Author (COSTUMERO MORENO, ROBERTO).

the author responsible for correspondence tasks has been GONZALO MARTIN, CONSUELO.

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