Please use this identifier to cite or link to this item:
Title: Influence of pansharpening techniques in obtaining accurate vegetation thematic maps
Authors: Ibarrola-Ulzurrun, Edurne 
Marcello Ruiz, Francisco Javier 
Gonzalo-Martin, Consuelo
UNESCO Clasification: 250616 Teledetección (Geología)
Keywords: Canary-Islands
Natural Resources
Ecosystem Management
Wavelet 'A Trous'
Support Vector Machine
Issue Date: 2016
Publisher: 0277-786X
Journal: Proceedings of SPIE - The International Society for Optical Engineering 
Conference: Earth Resources and Environmental Remote Sensing/GIS Applications VII 
Abstract: In last decades, there have been a decline in natural resources, becoming important to develop reliable methodologies for their management. The appearance of very high resolution sensors has offered a practical and cost-effective means for a good environmental management. In this context, improvements are needed for obtaining higher quality of the information available in order to get reliable classified images. Thus, pansharpening enhances the spatial resolution of the multispectral band by incorporating information from the panchromatic image. The main goal in the study is to implement pixel and object-based classification techniques applied to the fused imagery using different pansharpening algorithms and the evaluation of thematic maps generated that serve to obtain accurate information for the conservation of natural resources. A vulnerable heterogenic ecosystem from Canary Islands (Spain) was chosen, Teide National Park, and Worldview-2 high resolution imagery was employed. The classes considered of interest were set by the National Park conservation managers. 7 pansharpening techniques (GS, FIHS, HCS, MTF based, Wavelet ‘à trous’ and Weighted Wavelet ‘à trous’ through Fractal Dimension Maps) were chosen in order to improve the data quality with the goal to analyze the vegetation classes. Next, different classification algorithms were applied at pixel-based and object-based approach, moreover, an accuracy assessment of the different thematic maps obtained were performed. The highest classification accuracy was obtained applying Support Vector Machine classifier at object-based approach in the Weighted Wavelet ‘à trous’ through Fractal Dimension Maps fused image. Finally, highlight the difficulty of the classification in Teide ecosystem due to the heterogeneity and the small size of the species. Thus, it is important to obtain accurate thematic maps for further studies in the management and conservation of natural resources.
ISBN: 9781510604148
ISSN: 0277-786X
DOI: 10.1117/12.2241501
Source: Proceedings of SPIE - The International Society for Optical Engineering [ISSN 0277-786X], v. 10005 (1000515)
Appears in Collections:Actas de congresos
Show full item record

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.