Fusion of high resolution multispectral imagery in vulnerable coastal and land ecosystems

Ibarrola Ulzurrun, Edurne and Gonzalo Martín, Consuelo and Marcello Ruiz, Javier and García Pedrero, Ángel Mario and Rodríguez Esparragón, Dionisio (2017). Fusion of high resolution multispectral imagery in vulnerable coastal and land ecosystems. "Sensors", v. 17 (n. 2); pp. 228-238. ISSN 1424-8220. https://doi.org/10.3390/s17020228.

Description

Title: Fusion of high resolution multispectral imagery in vulnerable coastal and land ecosystems
Author/s:
  • Ibarrola Ulzurrun, Edurne
  • Gonzalo Martín, Consuelo
  • Marcello Ruiz, Javier
  • García Pedrero, Ángel Mario
  • Rodríguez Esparragón, Dionisio
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2017
ISSN: 1424-8220
Volume: 17
Subjects:
Freetext Keywords: Pansharpening; High resolution satellite images; WorldView-2; Ecosystem management; Classification
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Ecosystems provide a wide variety of useful resources that enhance human welfare, but these resources are declining due to climate change and anthropogenic pressure. In this work, three vulnerable ecosystems, including shrublands, coastal areas with dunes systems and areas of shallow water, are studied. As far as these resources? reduction is concerned, remote sensing and image processing techniques could contribute to the management of these natural resources in a practical and cost-effective way, although some improvements are needed for obtaining a higher quality of the information available. An important quality improvement is the fusion at the pixel level. Hence, the objective of this work is to assess which pansharpening technique provides the best fused image for the different types of ecosystems. After a preliminary evaluation of twelve classic and novel fusion algorithms, a total of four pansharpening algorithms was analyzed using six quality indices. The quality assessment was implemented not only for the whole set of multispectral bands, but also for the subset of spectral bands covered by the wavelength range of the panchromatic image and outside of it. A better quality result is observed in the fused image using only the bands covered by the panchromatic band range. It is important to highlight the use of these techniques not only in land and urban areas, but a novel analysis in areas of shallow water ecosystems. Although the algorithms do not show a high difference in land and coastal areas, coastal ecosystems require simpler algorithms, such as fast intensity hue saturation, whereas more heterogeneous ecosystems need advanced algorithms, as weighted wavelet ?à trous? through fractal dimension maps for shrublands and mixed ecosystems. Moreover, quality map analysis was carried out in order to study the fusion result in each band at the local level. Finally, to demonstrate the performance of these pansharpening techniques, advanced Object-Based (OBIA) support vector machine classification was applied, and a thematic map for the shrubland ecosystem was obtained, which corroborates wavelet ?à trous? through fractal dimension maps as the best fusion algorithm for this ecosystem.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainCGL2013-46674-RARTEMISATUniversidad de las Palmas de Gran CanariaAnálisis de recursos terrestres y marinos mediante el procesado de imágenes de satélites de alta resolución

More information

Item ID: 50313
DC Identifier: http://oa.upm.es/50313/
OAI Identifier: oai:oa.upm.es:50313
DOI: 10.3390/s17020228
Official URL: http://www.mdpi.com/1424-8220/17/2/228/htm
Deposited by: Memoria Investigacion
Deposited on: 21 Dec 2018 11:50
Last Modified: 25 Mar 2019 15:25
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