Reflectance retrieval for hyperspectral imagery collected over urban environments

• Online Access: http://hdl.handle.net/2047/D20294168

Hyperspectral Imaging (HSI) aims to classify targets based upon the extracted spectral reflectance signatures of objects within an image. This reflectance retrieval process estimates and compensates for the atmospheric effects on measured radiance data. Traditional reflectance retrieval methods rely upon simplifying assumptions about the target scene geometry. In particular, these methods require the target to exist in an open environment, in which all scene-incident solar and atmospheric illumination reach the target. When the open environment assumption is invalid, such as in urban environments where targets exist in complex lighting conditions, traditional reflectance retrieval methods will fail.