Shaun S. Gleason 1, Mesfin Dema 2, Hamed Sari-Sarraf 2, Anil Cheriyadat 1, Raju Vatsavai 1, Regina Ferrell 1 1 Oak Ridge National Laboratory, Oak Ridge,
Nonlinear Dimensionality Reduction for Hyperspectral Image Classification Tim Doster Advisors: John Benedetto & Wojciech Czaja.
The Spectral Reflectance of Ship Wakes between 400 and 900 nm Summary- Summary- The objective of this research is to define the spectral reflectance characteristics.
Brainrich IEEE Project Titles 2013 - 2014
Jonatan Gefen 28/11/2012. Outline Introduction to classification Whole Pixel Subpixel Classification Linear Unmixing Matched Filtering (partial unmixing)
Regularized Double Nearest Neighbor Feature Extraction for Hyperspectral Image Classification Hsiao-Yun Huang Department of Statistics and Information.
Regularized Double Nearest Neighbor Feature Extraction for Hyperspectral Image Classification
Keng-Hao Liu and Chein-I Chang Remote Sensing Signal and Image Processing Laboratory (RSSIPL)
Introduction to Hyperspectral Image Analysis
Detecting Emerald Ash Borer Infestation with Hyperspectral data using Spectral Mixture Analysis Silvia Petrova Objective The objective of this project.
Department of Information and Communications Engineering Universitat Autònoma de Barcelona, Spain
zirconia and titanium implant abutments
