Surveillance and reconnaissance imaging systems : modeling and performance prediction
著者
書誌事項
Surveillance and reconnaissance imaging systems : modeling and performance prediction
(The Artech House optoelectronics library)
Artech House, c2001
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
An up-to-date, comprehensive review of surveillance and reconnaissance (S&R) imaging system modelling and performance prediction. This resource helps the reader predict the information potential of new surveillance system designs, compare and select from alternative measures of information extraction, relate the performance of tactical acquisition sensors and surveillance sensors, and understand the relative importance of each element of the image chain on S&R system performance. It provides system descriptions and characteristics, S&R modelling history, and performance modelling details. With an emphasis on validated prediction of human observer performance, this book addresses the specific design and analysis techniques used with today's S&R imaging systems. It offers in-depth discussions on everything from the conceptual performance prediction model, linear shift invariant systems, and measurement variables used for S&R information extraction to predictor variables, target and environmental considerations, CRT and flat panel display selection, and models for image processing.
Conversion methods between alternative modelling approaches are examined to help the reader perform system comparisons.
目次
Introduction - Modeling Applications. Conceptual S&R Model. Performance Prediction Approaches. Surveillance and Reconnaissance Systems - Introduction. Imaging with IR and EO Sensors. Image Formation. Imaging System parameters. Synthetic Aperture Radar. Choice of Imaging Sensors. Examples of Surveillance and Reconnaissance Sensors. Historical Review of S&R Modeling - Pre-1950. 1950-1970. 1970-Present. Linear Shift Invariant Imaging Systems - Linearity and Shift Invariance. The Impulse Function. The Fourier Series and Fourier Transform. LSI Imaging System. Imaging in the Space and Frequency Domain. Imaging With Components. Simplifying LSI Imager Analysis to One Dimension. Sampled Imaging Systems. SAR Impulse Response and Transfer Function. Information Extraction Measures - Direct Performance Measures. Theory of Signal Detection. Range/Time Measures. Performance Estimate Measures. Information and Difference Metrics. Information Extraction Performance Predictors - Scale, Resolution, and Sharpness. Contrast and Noise. Artifacts. Summary Measures. Target and Environmental Considerations - Target Effects. Deception and Denial. Atmospheric Effects. Image Processing Considerations - Bandwidth Compression. Enhancement Processing. Display and Observer Considerations - Displays. Observer Characteristics. Observer Models. Performance Prediction Models - Parameter-based Models. Image-Based Models. Sensor Performance Conversions - Johnson Criteria and NIIRS. Conversion with Models. Comparing Sensor Performance Conversions. Performance Conversion as a Function of Target Size. Conclusions and Future Directions - Spectral Domain. Temporal Effects. Search. SAR.
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