… The remote sensing literature contains many examples of multiresolution data visualization,
eg, by merging a high-resolution panchromatic band with lower resolution multispectral …

… Udelhoven, “A local correlation approach for the fusion of remote sensing data with different
spatial resolution in foresty applications,” In: Proc. of Int. Archives of Photogrammetry and …

… In the future work, we will (1) test the method on more publicly available remote sensing
image datasets; and (2) apply dimension reduction methods such as [25] to generate compact …

… of test patterns and software for image quality analyses, this type of target is indifferent to
the negative effects of image aliasing, and on attempts to artificially improve image resolution …

… resolution remote sensing … remote sensing image processing software Matlab, and then
combined with Back Propagation neural network classifier for the high resolution remote sensing …

… Besides its high compression ability, fractal coding has some important properties for image
resolution enhancement [25]: (1) Resolution independence: after being converted to fractal …

… of reconstructing the remote sensing images resolution. … In addition, objects in remote
sensing images have different … will provide more clues for image resolution reconstruction tasks. …

… remote sensing scenarios. Recently, we have witnessed substantial improvement in
single-image SR attributed to the use of deep neural networks for learning the relation between low …

… In this paper, we present a three-step super-resolution method for remote sensing images
via the WT combined with the recursive Res-Net (WTCRR). First, the LR image is decomposed …

… In the field of remote sensing, HR remotesensing image, as a … as sensor volume and
technology, the obtained remote-sensing … The most direct way to obtain clear HR remote-sensing …