Lab Home | Phone | Search
	Center for Nonlinear Studies
	Home  ▶ People   Current   Executive Committee   Postdocs   Visitors   Students   Research   Publications  ▶ Conferences   Workshops   Sponsorship  ▶ Talks   Seminars   Postdoc Seminars Archive   Quantum Lunch   Quantum Lunch Archive   P/T Colloquia   Archive   Ulam Scholar     Postdoc Nominations  ▶ Student Requests   Student Program  ▶ Visitor Requests   Description   Past Visitors  ▶ Services   General     History of CNLS     Maps, Directions   CNLS Office   T-Division   LANL				Wednesday, August 05, 20153:00 PM - 4:00 PMCNLS Conference Room (TA-3, Bldg 1690) Seminar Target detection in hyperspectral imagery: when less is more Stanley R. RotmanBen-Gurion University Hyperspectral data provides increased spectral resolution for such tasks as point target detection, area classification and change detection. With such a plethora of data, we must ask if we always want to use all the bands in the datacube. In addition, the use of too many endmembers to define the background can often result in overspecification and lead to reduced target detectability. In this talk, we will examine both of these issues, defining cases in which using only part of the available information can actually result in improved target detection results. Host: James Theiler