Resolution enhancement of multilook imagery for the multispectral thermal imager

Super-Resolution Reconstruction for Multi-Angle Remote Sensing Images Considering Resolution Differences

“…An illustration of a multi-angle imaging system is shown in Figure 2 [19]. In Figure 2, β represents the instantaneous field of view angle.…”

“…R nad represents the spatial resolution of the nadir image, and R k denotes that of the k-th angle image. Through a series of deductions [19], the relationship between the spatial resolution of the two images can be expressed as: (8) It is observed that the spatial resolution of the nadir image is the highest, and the larger the imaging angle of the k-th angle image, the smaller its spatial resolution is. It is natural that the nadir image should be assigned the largest weighted value, and the weighted values of the other angle images should be decreased with the increase of the relative angle between the nadir image and the k-th angle image.…”

“…(1) Improvement in Signal-to-Noise Ratio (ISNR) ISNR is widely used in image restoration tasks [19,27]. Let x be the original HR image, represents the SR results, and x 0 denotes the bilinear interpolated image, then the ISNR value can be expressed as: (12) ISNR is used to evaluate the sharpness of the image.…”

“…The SRR model is composed of an L1 norm data fidelity item and total variation (TV) regularization. Galbraith et al [19] noted that the spatial resolution of different angle images is different, and the spatial resolution of an off-nadir image will be lower than that of the nadir image. Hence, the contributions of different angle images to the reconstructed image will be different.…”

Mapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember unmixing

“…SR is a technique to generate a high-resolution (HR) image from several low-resolution (LR) images. Various SR methods have been tested and applied to remote sensing images such as Landsat (Merino and Núñez, 2007;Tsai and Huang, 1984), SPOT (Latry and Rouge, 2003), Quickbird (Merino and Núñez, 2007), WorldView-2 (Ma et al, 2012), multi-angular thermal data (Galbraith et al, 2005) and hyperspectral data (Akgun et al, 2005). For urban mapping applications which require high spatial resolution, the use of SR methods might be an interesting option.…”