Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems.

ABSTRACT: Recent developments in the miniaturization of hyperspectral imaging sensors have given rise to the increased use of hyperspectral imagery as the primary data for evaluating spectral unmixing algorithms in applications such as industrial quality control, agriculture, mineral mapping, military, etc. This article presents an ultra-high-resolution hyperspectral imagery dataset for undertaking benchmark studies on spectral unmixing. A terrestrial hyperspectral imager (THI) is used for imaging the target scene with the camera sensor pointing horizontally towards the target scene. The datasets are acquired at various spatial resolutions ranging from 1 mm to 2 cm. The targeted scene contains several paper-based panels, each size of 2 cm x 2 cm and filled with different colours and proportions, glu

SUBMITTER: Manohar Kumar CVSS 

PROVIDER: S-EPMC9189777 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature