This on going seminal work presents a new methodology for the design and implementation of highperformance artificial raw data generation algorithms for remote-sensed imaging applications. Special attention is given ...
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ISBN:
(纸本)078037536X
This on going seminal work presents a new methodology for the design and implementation of highperformance artificial raw data generation algorithms for remote-sensed imaging applications. Special attention is given in this work to synthetic aperture radar (SAR) system modeling and simulation imaging applications in the geosciences. Of particular importance are processes such as soil moisture content, backscattering from crops, nearshore ocean surface currents, and subsurface imaging in hyperarid regions. Our computing approach is based on the successful use of cross-ambiguity functions, in a Weyl-Heisenberg computational framework, as surface point target response functions for nonlinearly modulated, time-frequency structured, artificially created transmitted signals for our SAR system raw data modeling and simulation efforts. The functions are correlated with prescribed target reflectivity density functions to produce the desired results.
This paper discusses the need for geospatial information technologies in developing countries to support sustainable development. One of the major issues facing many developing countries is the need for better utiliza...
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ISBN:
(纸本)078037536X
This paper discusses the need for geospatial information technologies in developing countries to support sustainable development. One of the major issues facing many developing countries is the need for better utilization and protection of their natural resources. In the world's industrialized nations remotesensing and GIS technologies are used in many applications that include, but not limited to, natural resources management and protection, environmental monitoring, agriculture, geology, hydrology and water resource management, disaster management, urban planning, monitoring spread of infectious diseases, and marine studies. These nations have made heavy investment in building and deploying space assets to monitor earth resources. However, very little has been done to promote the leveraging of this investment in technology by developing countries. There are far reaching benefits to these emerging economies through the exploitation of this technology. Not only could they be forewarned about natural disasters to minimize loss of life and property, but, they could use it to enhance their country's critical food supply and water resources and even develop an effective natural resource exploitation (e.g. oil and gas) capability. These capabilities will allow developing countries to become more self-reliant and less dependent on other countries and international aid agencies. remotesensing and GIS technologies can be transferred to developing countries for implementation of large-scale and national GIS systems. Such systems will integrate advanced computing platforms, high-speed networks, highperformance image processing and GIS products, sophisticated data capturing devices, state-of-the-art product generation equipment, and robust archival and dissemination elements. A variety of remotely sensed data (multi-temporal, spatial, and spectral resolution), geospatial, and in-situ data will be integrated to generate value-added products, extract thematic/spatial features
Compute performance and algorithm design are key problems of image processing and scientific computing in general. For example, imaging spectrometers are capable of producing data in hundreds of spectral bands with mi...
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ISBN:
(纸本)0819437778
Compute performance and algorithm design are key problems of image processing and scientific computing in general. For example, imaging spectrometers are capable of producing data in hundreds of spectral bands with millions of pixels. These data sets show great promise for remotesensing applications, but require new and computationally intensive processing. The goal of the Deployable Adaptive Processing Systems (DAPS) project at Los Alamos National Laboratory is to develop advanced processing hardware and algorithms for high-bandwidth sensor applications. The project has produced electronics for processing multi- and hyper-spectral sensor data, as well as LIDAR data, while employing processing elements using a variety of technologies. The project team is currently working on reconfigurable computing technology and advanced feature extraction techniques, with an emphasis on their application to image and RF signal processing. This paper presents reconfigurable computing technology and advanced feature extraction algorithm work and their application to multi- and hyperspectral image processing. Related projects on genetic algorithms as applied to image processing will be introduced, as will the collaboration between the DAPS project and the DARPA Adaptive computing Systems program. Further details are presented in other talks during this conference and in other conferences taking place during this symposium.
remote-sensing data about the Earth's environment is being created at an ever-increasing rate and distributed among heterogeneous remote sites. Traditional models of distributed computing are inadequate to support...
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remote-sensing data about the Earth's environment is being created at an ever-increasing rate and distributed among heterogeneous remote sites. Traditional models of distributed computing are inadequate to support such complex applications, which generally involve a large quantity of data. The authors describe a mobile agent based architecture for analyzing and managing data for the Synthetic Aperture Radar Atlas (SARA) remotesensing library. A scalable and flexible architecture based on mobile agents is presented. SARA is a digital library of multi spectral remotesensing imagery of the Earth. We show how to efficiently support on-demand processing of such a remotesensing archive, using a combination of mobility and parallel computing techniques. Our architecture can support a large number of agents, where agents perform specialized roles.
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