Hyperspectral remote sensing enables establishing semantics from an image by providing spectral details used for differentiating materials. The airborne/satellite setup for remote sensing are typically expensive in terms ...
Compressive Snapshot Spectral Imaging combines compressive sensing and snapshot spectral imaging (SSI) for restoring the image of the scene in both spatial and spectral contexts by using only a fewer number of sampling ...
This project is about the development of band selection (BS) techniques for better
target detection and classification in remote sensing and hyperspectral imaging
(HSI). Conventionally, this is achieved just by using ...
This thesis presents the development of a spectral reconstruction method for multispectral (MSI) and hyperspectral (HSI) applications through an enhanced dictionary learning and spectral unmixing methodologies. Earth ...