Abstract
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.
Highlights
Following with increasing the rapid advancements of new and greatly improved various space born imaging sensor systems in Remote Sensing (RS), it is can be done by both active (SAR, LiDAR) and passive devices and applied in many area studying Earth observational applications [1]
PAN imaging sensors provides an image in the visible band, which is characterized by high spatial information content well suited for intermediate scale mapping applications and urban analysis [2]
Considering image fusion observed scene analysis and RS application, the observed scene information fusion can be requirement in the following cases [3]; data recorded by different sensors, data recorded by the same sensor scanning the same scene at different dates, data recorded by the same sensor operating in different spectral bands, data recorded by the same sensor at different polarizations, and data recorded by the same sensor located on platforms flying at different heights
Summary
Following with increasing the rapid advancements of new and greatly improved various space born imaging sensor systems in Remote Sensing (RS), it is can be done by both active (SAR, LiDAR) and passive (optical and thermal range, multispectral and hyper-spectral) devices and applied in many area studying Earth observational applications [1]. Almost all of the operating earth observation very high resolution (VHR) imagery (Spot, Landsat, Ikonos, WorldView, QuicBird, GeoEye, and Orbview, etc), it was very important issues in various RS problems application in image sharpening, land classification, change detection, and object identification, visualization purposes etc. PAN imaging sensors provides an image in the visible band, which is characterized by high spatial information content well suited for intermediate scale mapping applications and urban analysis [2]. The Principal study of fusing multiple images provided by heterogeneous image sensor has been addressed in many literatures with different methods, context and application [10]
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