Evaluation of data fusion methods for agricultural monitoring based on synthetic images

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Rodrigues, AS (Author) Other; marcal, ars (Author) FCUP; Mario Cunha (Author) FCUP

Conference proceedings International

Title: REMOTE SENSING FOR A CHANGING EUROPE

Pages: 125-133

28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote Sensing for a Changing Europe

Istanbul Tech Univ, Remote Sensing Div, ITU Maslak Campus, Istanbul, TURKEY, JUN 02-05, 2008

Indexing

ISI Web of Knowledge - 1 Citation

Other information

Authenticus ID: P-00P-4HM

DOI: 10.3233/978-1-58603-986-8-125

Abstract (EN): There are several data fusion methods widely used to produce a high resolution multi-spectral image from a pair of images - a panchromatic high resolution and a multi-spectral lower resolution image. Although the fused images can be visually satisfactory, it is not clear whether they provide additional information for quantitative measurements made from satellite images. A methodology to evaluate data fusion algorithms is proposed, based on the production of synthetic images that reproduce real satellite images. An experiment was conducted testing the performance of six data fusion methods in the production of NDVI values for land parcels from SPOT HRG and Landsat TM data. The fusion methods evaluated were: Brovey, IHS Hexcone, IHS Cylinder, PCA, Wavelet IHS and Wavelet Single Band. The best data fusion method overall was found to be Wavelet IHS, although better results were obtained by using directly the lower resolution multi-spectral data instead. The software tools developed and a number of test images datasets are freely available at the SITEF website (www.fc.up.pt/sitef).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9