Technical Program

Paper Detail

Paper Title PREDICTION AND ASSESSMENT COMPARISON FOR OPTIMIZING SPECTRAL IMAGING SYSTEM DESIGN
Paper IdentifierWE1.R11.3
Authors Sanghui Han, John Kerekes, Rochester Institute of Technology, United States; Shawn Higbee, Lawrence Siegel, Alex Pertica, Lawrence Livermore National Laboratory, United States
Session Target and Anomaly Detection in Hyperspectral Images
Location Room 419
Session Time Wednesday, 31 July, 08:40 - 09:40
Presentation Time Wednesday, 31 July, 08:40 - 09:00
Presentation Mode Oral
Topic Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Target Detection and Unmixing