MATEC Web Conf.
Volume 215, 2018The 2nd International Conference on Technology, Innovation, Society and Science-to-Business (ICTIS 2018)
|Number of page(s)||5|
|Section||Emerging Technologies and Applied Science|
|Published online||16 October 2018|
Optical SAR Images Fusion: Comparative Analysis of Resulting Images Data
Institut Teknologi Padang, Informatics Engineering Department, Padang, Indonesia
* Corresponding author: email@example.com
Image fusion is a useful tool for integrating low spatial resolution multispectral (MS) images with a high spatial resolution panchromatic (PAN) image, thus producing a high resolution multispectral image for better understanding of the observed earth surface. A main proposed the research were the effectiveness of different image fusion methods while filtering methods added to speckle suppression in synthetic aperture radar (SAR) images. The quality assessment of the filtering fused image implemented by statistical parameter namely mean, standard deviation, bias, universal index quality image (UIQI) and root mean squared error (RMSE). In order to test the robustness of the image quality, either speckle noise (Gamma map filter) is intentionally added to the fused image. When comparing and testing result, Gram Scmidth (GS) methods have shown better results for good colour reproduction, as compared with high pass filtering (HPF). And the other hands, GS, and wavelet intensity hue saturation (W-IHS) have shown the preserving good colour with original image for Landsat TM data.
© The Authors, published by EDP Sciences, 2018
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