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Physical Sciences and Mathematics
University of Nebraska - Lincoln
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Restoration And Reconstruction Of Avhrr Images, Stephen E. Reichenbach, Daniel Kohler, Dennis Strelow
Restoration And Reconstruction Of Avhrr Images, Stephen E. Reichenbach, Daniel Kohler, Dennis Strelow
School of Computing: Faculty Publications
This paper describes the design of small convolution kernels for the restoration and reconstruction of Advanced Very High Resolution Radiometer (AVHRR) images. The kernels are small enough to be implemented efficiently by convolution, yet effectively correct degradations and increase apparent resolution. The kernel derivation is based on a comprehensive, end-to-end system model that accounts for scene statistics, image acquisition blur, sampling effects, sensor noise, and postfilter reconstruction. The design maximizes image fidelity subject to explicit constraints on the spatial support and resolution of the kernel. The kernels can be designed with h e r resolution than the image to perform …
Accessing Earth System Science Data And Applications Through High-Bandwidth Networks, R. Vetter, M. Ali, M. Daily, J. Gabrynowic, Sunil G. Narumalani, K. Nygard, W. Perrizo, P. Ram, S. Reichenbach, G. A. Seielstad, W. White
Accessing Earth System Science Data And Applications Through High-Bandwidth Networks, R. Vetter, M. Ali, M. Daily, J. Gabrynowic, Sunil G. Narumalani, K. Nygard, W. Perrizo, P. Ram, S. Reichenbach, G. A. Seielstad, W. White
School of Computing: Faculty Publications
In this paper, we discuss gigabit network applications enabled by "Mission to Planet Earth," an international effort to monitor the Earth as a system. We describe the design of a network architecture to support applications developed as part of this program; introduce a new component, public access resource centers (PARC9s); and discuss how PARC's would facilitate access by users outside the traditional research community. We also describe how a particular class of users, agriculture users, might to Planet Earth program and delivered in a value-added form to them by a so-called AgPARC. The suggested architecture requires the deployment of high-bandwidth …
A Comprehensive, Automated Approach To Determining Sea Ice Thickness From Sar Data, Donna Haverkamp, Leen-Kiat Soh, Costas Tsatsoulis
A Comprehensive, Automated Approach To Determining Sea Ice Thickness From Sar Data, Donna Haverkamp, Leen-Kiat Soh, Costas Tsatsoulis
School of Computing: Faculty Publications
This paper documents an approach to sea ice classification through a combination of methods, both algorithmic and heuristic. The resulting system is a comprehensive technique, which uses dynamic local thresholding as a classification basis and then supplements that initial classification using heuristic geophysical knowledge organized in expert systems. The dynamic local thresholding method allows separation of the ice into thickness classes based on local intensity distributions. Because it utilizes the data within each image, it can adapt to varying ice thickness intensities to regional and seasonal charges and is not subject to limitations caused by using predefined parameters.