We describe a novel method for blind, single-image spectral super-resolution. While conventional superresolution aims to increase the spatial resolution of an input image, our goal is to spectrally enhance the input, i.e., generate an image with the same spatial resolution, but a greatly increased number of narrow (hyper-spectral) wavelength bands. Just like the spatial statistics of natural im...

The development of remote sensor technology makes it convenient to obtain multiscale satellite data sets, but selecting data with an appropriate scale has become a problem. We propose improvements based on modified average local variance (MALV) for selecting the optimal spatial resolution of multiband images. One improvement is computing the mean MALVs of all bands, and the other is computing t...

The demand for accurate and up-to-date spatial information is increasing and its availability is becoming more important for a variety of tasks. Today’s commercial high-resolution satellite imagery (HRSI) offers the potential to extract useful and accurate spatial information for a wide variety of mapping and GIS applications. The extraction of metric information from images is possible due to ...

The aim of this study is to detect man-made cartographic objects in high-resolution satellite images. New generation satellites offer a sub-metric spatial resolution, in which it is possible (and necessary) to develop methods at object level rather than at pixel level, and to exploit structural features of objects. With this aim, a method to generate structural object models from manually segme...

The aim of this study is to detect man-made cartographic objects in high-resolution satellite images. New generation satellites offer a sub-metric spatial resolution, in which it is possible (and necessary) to develop methods at object level rather than at pixel level, and to exploit structural features of objects. With this aim, a method to generate structural object models from manually segme...

Image fusion is the process of merging two or more images obtained from the same sensor at different times or from two or more sensors at the same instant. The objective is to obtain more information from the fused image than from the individual images. In satellite images, the lower spatial resolution multispectral images are fused with higher spatial resolution panchromatic images. The fusion...

background: to date, several imaging techniques to track stem cells are used such as positron emission tomography (pet), single photon emission computed tomography (spect), bioluminescence imaging (bli), fluorescence imaging, ct scan and magnetic resonance imaging (mri). although, overall sensitivity of mri compared to spect and bioluminescence techniques are lower, but due to high spatial reso...

Wavelet Transforms can be used for multi-resolution image fusion at pixel level, as they work both in spatial and spectral domains and result in the preservation of spatial of spectral details of input images. Different wavelet transform algorithms have been developed and applied to a variety of applications such as noise suppression, filtering, image restoration, image compression, and astrono...

High resolution satellite systems today become more and more important. The reason is simple as the technology developments of the last ten years changed the situation dramatically. Satellite Constellations for observation with a very high spatial and radiometric resolution are now state of the art technology. Even systems with a spatial resolution of 50 cm are available with a brilliant image ...

The first China-Brazil Earth Resources Satellite (CBERS) was launched in 1999 and recently was substituted by CBERS-2. CBERS1 and CBERS-2 have the same specifications and carry three sensors which combine features that are specially designed to cover the broad range of space and time scales involved in the monitoring and preservation of the ecosystem: Wide Field Imager (WFI), High Resolution CC...