In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral ...

Synthetic aperture radar (SAR) imaging sensor presents an important advantage for the earth change observation independently of weather conditions. However, the SAR image provides an incomplete information (as roads) of the observed scene leading thus to an ambiguous interpretation. In order to compensate the lack of features, the high spatial resolution panchromatic (P) image is often used as ...

A new image fusion algorithm of the multispectral image and the panchromatic image is proposed by using the non-subsampled contourlet transform and the lαβ color space. The non-subsampled contourlet transform is used to decompose an image into a low frequency approximate component and several high frequency detail components, and an edge enhancement method is employed to extract features from a...

In this study we have looked into the problem of vehicle detection in highresolution satellite images. Based on the input from the local road authorities, we have focused not only on highways, but also on inner city roads, where more clutter is expected. The study site is the city of Oslo, Norway. To do vehicle detection in these areas, we propose an automatic approach consisting of a segmentat...

In this paper, a framework is proposed to assess the quality of urban geospatial data using image information. An important aspect is the emphasis on accuracy and reliability of the system. The quality of the image information is quantified by characterizing the ridge detection performance in terms of detection rate. Based on statistics of a typical road and its immediate surroundings, a predic...

Extraction of individual tree crown objects in urban areas using available VHR space-borne imaging systems remains a challenging image processing task mainly because of two factors: the limited spectral information offered by the sensors and their limited spatial resolution. The spectral information of available VHR satellite sensors is not sufficient to discriminate tree crowns from other land...

The modern remote sensing imaging sensors, like those in the IKONOS and QuickBird satellites, are capable of generating panchromatic images with about one meter spatial resolution. The principal objective of fusion in remote sensing is to obtain images that can combine the spectral characteristic of the lowresolution multispectral images with the spatial information of the high-resolution panch...

This paper presents a novel image fusion method, suitable for pan-sharpening of multispectral (MS) bands, based on multi-resolution analysis (MRA). The low-resolution MS bands are sharpened by injecting high-pass directional details extracted from the high-resolution panchromatic (Pan) image by means of the curvelet transform, which is a non-separable MRA, whose basis function are directional e...