The remote detection of minefields has a high priority with the armed forces of several countries, including Canada. The Defence Research Establishment Suffield and the University of British Columbia are jointly devel...
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ISBN:
(纸本)0819406953
The remote detection of minefields has a high priority with the armed forces of several countries, including Canada. The Defence Research Establishment Suffield and the University of British Columbia are jointly developing methods to identify surface-laid minefields by real- time analysis of airborne sensor imagery. Passive multispectral imaging has been investigated, but the problem of analyzing monochromatic images from active infrared scanners is considered here. Among the severe constraints are that one must find clusters of bright regions each only several pixels wide, sparsely distributed over large areas. Also, the sharply forward peaked scattering from the mines and variable terrain roughness leads to the result that some mines are not detected. The required very high input data rate suggests simple, high speed target cuing which is amenable to hardware implementation. This is incompatible with slower image understanding techniques needed to identify mines by their shapes, and minefields by the spatial relationships between mines. A hierarchical algorithm is thus presented as a solution to the problem. In progressing from lower to higher levels, computational operations become more complex and less able to be implemented on conventional high-speed devices but the volume of data to be analyzed decreases. At the lowest level, non-suspect regions are rejected to drastically reduce the data rate. At the next higher level, suspect regions are segmented into homogeneous sub-regions. The next level consists of extraction of morphological features of the sub-regions. One level higher, sub-regions are classified based on extracted features. At the top level, spatial relationships between `mine-like' regions are determined and are used by knowledge-based methods to classify the imaged area as being a minefield with a specified likelihood. The algorithm, which includes a novel region segmenter, has been developed up to and including sub-region classification. Studies u
Technology to implement very high speed digital signal processing has experienced rapid growth during the last decade. Techniques using this technology to reduce the data channel width required by an imaging reconnais...
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Technology to implement very high speed digital signal processing has experienced rapid growth during the last decade. Techniques using this technology to reduce the data channel width required by an imaging reconnaissance system to achieve the timely transmission of data from sensor subsystems to remote exploitation subsystems are being developed at an increasing rate. The incorporation of these techniques into imaging reconnaissance systems promises payoffs in performance and co-operability with other collection systems within the restrictions imposed by existing and near-term projected data channels. This paper presents a summary overview of techniques available to designers using current technology. An analysis performed on a hypothetical system is used to illustrate the sensitivities of various algorithms to characteristics of and errors in individual system components;an analysis of the impact of the techniques considered on system performance. The techniques treated are restricted to lossy algorithms which preserve the essential imaging nature of the system to the end user i.e., the system output is in image form, not alphanumeric. Performance is defined as the ability of the system to collect and reconstruct scene image information. DPCM, ADPCM, and DCT compression techniques will be considered in the detailed treatment.
imageprocessingalgorithms and photographic techniques have been developed to allow objective, reproducible quantification of facial skin wrinkles, age spots, pores, and other visible skin features. The methods have ...
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>The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks, and nature inspired algorithms. In the past few decades, there has been an exponential rise in th...
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ISBN:
(数字)9789811056994
ISBN:
(纸本)9789811056987
>The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks, and nature inspired algorithms. In the past few decades, there has been an exponential rise in the application of soft computing techniques for solving complex and intricate problems arising in different spheres of life. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. SoCTA is the first international conference being organized at Amity University Rajasthan (AUR), Jaipur. The objective of SoCTA 2016 is to provide a common platform to researchers, academicians, scientists, and industrialists working in the area of soft computing to share and exchange their views and ideas on the theory and application of soft computing techniques in multi-disciplinary areas. The aim of the conference is to bring together young and experienced researchers, academicians, scientists, and industrialists for the exchange of knowledge. SoCTA especially encourages the young researchers at the beginning of their career to participate in this conference and present their work on this platform.
This two-volume book gathers the proceedings of the Sixth International Conference on Soft Computing for Problem Solving (SocProS 2016), offering a collection of research papers presented during the conference at Thap...
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ISBN:
(数字)9789811033223
ISBN:
(纸本)9789811033216
This two-volume book gathers the proceedings of the Sixth International Conference on Soft Computing for Problem Solving (SocProS 2016), offering a collection of research papers presented during the conference at Thapar University, Patiala, India. Providing a veritable treasure trove for scientists and researchers working in the field of soft computing, it highlights the latest developments in the broad area of “Computational Intelligence” and explores both theoretical and practical aspects using fuzzy logic, artificial neural networks, evolutionary algorithms, swarm intelligence, soft computing, computational intelligence, etc.
The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016.;The total of 86 pa...
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ISBN:
(数字)9783319624280
ISBN:
(纸本)9783319624273
The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016.;The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections:;Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; imageprocessing and computer vision; robotics.;Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.
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