S- and X-band SAR data fusion

Abstract

Abstract-This paper investigates the benefits deriving from introducing a wavelet-transform-based fusion framework for multi-frequency Synthetic Aperture Radar (SAR) data. A specific application is considered in the assessment of the fused classification map derived and this is the discrimination of different kinds of oil in sea. S-band and X-band datasets, concurrently acquired from the same airborne platform, have here been used. The findings suggest that fusing S-band and Xband SAR data does improve the oil type discrimination between crude oil and diesel oil used in the exercise, although a more quantitative analysis should be conducted in the future to measure the degree of improvement.Index Terms-Synthetic Aperture Radar (SAR), S-band, Xband, data fusion, wavelet transform, oil discrimination, oil spill.

Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel

“…A constant mean value of 0.5 is assumed because image values are continues within the range of 0-1. The predictive mean in (10) becomes…”

“…In [6] a multi-task GP approach is developed for multi-modal image fusion. Other image fusion approaches such as Wavelet Transform have been used in [10], [11], [12] to improve spatial resolution and maintain the spectral property of the images. This was achieved by converting the image from its spatial domain to the frequency domain, and decomposing the image into approximated and fine details without information loss.…”

Dual-band System composed by a Photonics-based Radar and a Focal-Point/Cassegrain Parabolic Antenna

“…Since higher frequencies are more vulnerable to the weather conditions, they are usually used for short-range applications, whereas lower frequencies are desirable for far-range detections [7]- [9]. Therefore, a multiband radar transceiver increases the system robustness in terms of climatic variations, providing enhanced detection capability even in adverse conditions.…”

A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation

“…In [17], fusion of SAR and hyperspectral images (HSI) is performed at pixel level, although the fusion method used is not described in the paper, the approach focused on fusing images from different sensors (SAR and HSI) and not on multi-frequency SAR data. The works of [7], [18] explored fusion of multi-frequency (S&X-bands) and multi-resolution (C-band) SAR images by adopting the wavelet transform approach.…”