6533b7d5fe1ef96bd1263b14

RESEARCH PRODUCT

Affine Illumination Compensation on Hyperspectral/Multiangular Remote Sensing Images

Pedro Latorre CarmonaLuis AlonsoCrystal B. SchaafJ. MorenoFiliberto Pla

subject

business.industryComputer scienceDiagonalNormalization (image processing)Hyperspectral imagingCompensation (engineering)Remote sensing (archaeology)Infrared windowRadianceComputer visionAffine transformationArtificial intelligencebusinessRemote sensing

description

The huge amount of information some of the new optical satellites developed nowadays will create demands to quickly and reliably compensate for changes in the atmospheric transmittance and varying solar illumination conditions. In this paper three different forms of affine transformation models (general, particular and diagonal) are considered as candidates for rapid compensation of illumination variations. They are tested on a group of three pairs of CHRISPROBA radiance images obtained in a test field in Barrax (Spain), and where there is a difference in the atmospheric as well as in the geometrical acquisition conditions. Results indicate that the proposed methodology is satisfactory for practical normalization of varying illumination and atmospheric conditions in remotely sensed images required for operational applications.

yearjournalcountryeditionlanguage
2011-01-01
https://doi.org/10.1007/978-3-642-21596-4_36