Content Validity Requirements for Simulated Sensor Imagery
| Autor: | Michael S. Brickner, Ayelet Oettinger |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Synthetic aperture radar
Engineering business.industry Image quality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition Image processing Target acquisition Set (abstract data type) Pattern recognition (psychology) Computer vision Artificial intelligence Forward looking infrared business |
| DOI: | 10.21236/ada387943 |
| Popis: | The present study was designed to perform a survey of sensor imagery simulation capabilities and requirements, with emphasis on SAR (Synthetic Aperture Radar) and FLIR (Forward Looking Infrared) imagery. The study includes a literature search and review of sensor image quality attributes and of their effects on object recognition and target acquisition performance. Applications for simulated imagery have been identified and their features are described in the report. Qualitative/quantitative requirements for these applications have been derived in terms of image quality and image content. A set of criteria for the performance of pattern and object recognition and target acquisition tasks, with each type of simulated imagery (FLIR and SAR), has been developed. The proposed set of criteria for the evaluation of required simulation fidelity of various types and purposes was examined with the help of ten expert users of sensor imagery (subject matter experts - SMEs). |
| Databáze: | OpenAIRE |
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