Hyperspectral linear unmixing: Quantitative evaluation of novel target design and edge unmixing technique

Daniel S. Goldberg, John P. Kerekes, Kelly A. Canham
2012 2012 Western New York Image Processing Workshop  
Remotely sensed hyperspectral images (HSI) have the potential to provide large amounts of information about a scene. HSI, in this context, are images of the Earth collected with a spatial resolution of 1m to 30m in dozens to hundreds of contiguous narrow spectral bands over different wavelengths so that each pixel is a vector of data. Spectral unmixing is one application which can utilize the large amount of information in HSI. Unmixing is a process used to retrieve a material's spectral
more » ... and its fractional abundance in each pixel since a single pixel contains a mixture of material spectra. Unmixing was used with images collected during an airborne hyperspectral collect at the Rochester Institute of Technology in 2010 with 1m resolution and a 390nm to 2450nm spectral range. The goal of our experiment was to quantitatively evaluate unmixing results by introducing a novel unmixing target. In addition, a single-band, edge unmixing technique is introduced with preliminary experimentation which showed results with mean unmixing fraction error of less than 10%. The results of the methods presented above helped in the design of future collection experiments.
doi:10.1109/wnyipw.2012.6466651 fatcat:el7tfnufcbhtdcrmlazooxpfwi