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...

[1] This paper presents a satellite-based retrieval method for inferring the vertical variation of cloud droplet effective radius (DER) by utilizing multispectral near-infrared (NIR) measurements at 1.25, 1.65, 2.15, and 3.75 mm, available from the Moderate Resolution Imaging Spectrometer (MODIS) satellite observations. The method is based on the principle that these multispectral NIR measureme...

High and accelerating rate of the urban changes and extensions, in developing countries such as Egypt, calls for an efficient and fast technique for mapping. The availability of the new generation commercial one-meter resolution satellite images has opened a new era for producing and updating large-scale digital maps. The main objective of this study is to evaluate the potential of VHR satellit...

Satellite jitter (SJ) is an important error source that affects the geometric accuracy of high resolution satellite imagery. In this paper, the quantitative relationship between the jitter displacement (image displacement caused by SJ) and relative registration error obtained from parallax images is deduced to be theoretical in detail, and the jitter displacement estimation model is built to es...

This paper presents an original research for hyperspectral satellite image compression using a fully neural system with the following processing stages: (1) a Hebbian network performing the principal component selection; (2) a system of "k" circular self-organizing maps for vector quantization of the previously extracted components. The software implementation of the above system has been train...

1. Abstract Multispectral sensors are increasingly being employed in military applications. Just as in satellite imagery of the earth, multispectral data is required in order to extract the maximum amount of information from a scene. The advantages of image fusion have been postulated for navigation, surveillance, fire control, and missile guidance to improve accuracy and contribute to mission ...

A Gaussian process regression technique is proposed to predict ground-based aerosol optical depth measurements from satellite multispectral images, and to select the most informative ground-based sites by active learning. Satellite images provide spatial and temporal information in addition to the spectral features, and such heterogeneity of available features is captured in the Gaussian proces...

A wide range of software tools have been developed for visualising three-dimensional range data of topographic surfaces. Digital Elevation Models (DEMs), derived from photogrammetric measurements and from digitised contour maps are here used for illustration. To increase our understanding of the information content in DEMs in isolation or in combination with remotelysensed images and to facilit...

Major technical constraints like minimum data storage at satellite platform in space, less bandwidth for communication with earth station, etc. limits the satellite sensors from capturing images with high spatial and high spectral resolutions simultaneously. To overcome this limitation, image fusion has proved to be a potential tool in remote sensing applications which integrates the informatio...