The fusion of high-spectral but low spatial resolution multispectral and low-spectral but high spatial resolution panchromatic satellite images is a very useful technique in various remote sensing applications. Recently, some studies showed that wavelet-based image fusion methods provide a high quality spectral content of fused images. However, the spatial resolution of waveletbased fused image...

Two visibility tests have been made on a fusion of panchromatic and multi-spectral SPOT5 images. The tests differ in the type of regions (sub-urban versus rural) and in the panchromatic image resolution (5m versus 3m). Two independent photo-interpretors had to extract the road network and the built-up area on part of a georeferenced image. The resulting shapes were compared with the actual data...

Digital orthoimages are becoming increasingly of interest as they provide up-to-date information for a wide range of applications. Facing the need for accurate spatial information this paper aims to the production of orthoimages and their further processing, as well as to the three dimensional visualization of the resulting images. The data used are one panchromatic image from Spot-3, with spat...

The paper presents the combined ridge-stein estimator (CRS) for linear pushbroom imagery exterior orientation, which is severely ill-conditioned for the strong correlation among exterior orientation elements of linear pushbroom imagery. The estimator is a new biased method combining the ridge estimator and the stein estimator. It can effectively change the ill-conditioned state of linear pushbr...

The problem of image data fusion coming from different sensors imaging the same object is to try to obtain a result that integrates the best characteristics of each one of those sensors. In this work, we want to combine the characteristics of multispectral (better spectral definition) and panchromatic (better space definition) images, using the bands from the satellites Landsat-7 (panchromatic)...

In this paper, we propose a novel method for image fusion with a high-resolution panchromatic image and a lowresolution multispectral image at the same geographical location. The fusion is formulated as a convex optimization problem which minimizes a linear combination of a least-squares fitting term and a dynamic gradient sparsity regularizer. The former is to preserve accurate spectral inform...

Recently, sparse representation (SR) and joint sparse representation (JSR) have attracted a lot of interest in image fusion. The SR models signals by sparse linear combinations of prototype signal atoms that make a dictionary. The JSR indicates that different signals from the various sensors of the same scene form an ensemble. These signals have a common sparse component and each individual sig...

This paper describes a method for propagation-based spacial interpolation of missing color information on satellite images. Most of the land-observation satellites produce two types of imagery for every scene multispectral and panchromatic. The first kind is characterized by lower spatial resolution but higher spectral one, while the second is a graylevel image at higher resolution. In order to...

* Corresponding author. ** This work was sponsored by CAPES and SELPER (Brazil). Abstract – The simulation of one or more bands of a multispectral sensor by combination of other bands is a useful tool as an image processing technique. This work presents a simulation technique for the ETM+ panchromatic band based on linear combination of ETM+ multispectral bands. The simulation method takes into...

The spatial resolution of hyperspectral image is often low due to the limitation of the imaging spectrometer. Fusing the original hyperspectral image with high-spatialresolution panchromatic image is an effective approach to enhance the resolution of hyperspectral image. However, it is hard to preserve the spectral information at the same time of enhancing the resolution by the traditional fusi...