Application-driven Spectral Image Quality Assessment and Prediction
نویسندگان
چکیده
The assignment of a quantitative spectral image quality metric is discussed with an approach proposed. Quality is divided into fidelity and utility components, with utility studied in the context of object detection in hyperspectral imagery. ©2010 Optical Society of America OCIS codes: (110.3000) Image quality assessment; (110.4234) Multispectral and hyperspectral imaging; (280.4788) Optical sensing and sensors; (100.4145) Motion, hyperspectral image processing; (100.4999) Pattern recognition, target tracking, (100.2960) Image analysis
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