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Remote Sensing Image Fusion using Multithreshold Otsu Method in Shearlet Domain
Published in Elsevier
Volume: 57
Pages: 554 - 562
In remote sensing image fusion, preservation of spectral information and enhancement of spatial resolution are key issues. In this paper, a novel approach of remote sensing satellite image fusion method have been proposed based on Otsu's Multi-thresholding Method (MOM) in shearlet domain. We make that happened in two folds, i) shearlet transform (ST) is applied in each high- spatial-resolution Panchromatic (PAN) and multi-spectral (MS) image separately, ii) the updated low frequency sub-band shearlet coefficients from decomposed shealet images are composed by the MOM method and select largest low-pass band automatically. The process of different high-pass sub-band shearlet coefficients have been discussed in detail. For obtaining the fused result we use the inverse shearlet transformation (IST). The experimental results show that the proposed method outperforms many state-of- the-art techniques in performance assessment. © 2015 The Authors. Published by Elsevier B.V.
About the journal
JournalData powered by TypesetProcedia Computer Science
PublisherData powered by TypesetElsevier
Open AccessYes