Physic based aggregation model for the unmixing of temperature and optical properties in the infrared domain

Manuel Cubero-Castan, Xavier Briottet, Michal Shimoni, Véronique Achard, Jocelyn Chanussot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The new generation of airborne hyperspectral image sensors sensitive in the thermal infrared domain gives the opportunity for new urban applications like classification, thermal budget at building level, etc. Nevertheless, due to the high spatial variability of such landscape, the signal acquired by each pixel remains complex as it results of the contribution of several radiative signals coming from different materials. The understanding of such signal requires the developement of an aggregation model that modelize the optical properties and surface temperature aggregating at different spatial scales. This paper proposes to justify the unicity of the aggregation model, proposed by Fontanilles et al, on LWIR spectral range (8 - 14 μm) for small temperature variations (≤ 20K).

Original languageEnglish
Title of host publication2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479934065
DOIs
Publication statusPublished - 2012
Event2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 - Shanghai, China
Duration: 4 Jun 20127 Jun 2012

Publication series

NameWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
ISSN (Print)2158-6276

Conference

Conference2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
Country/TerritoryChina
CityShanghai
Period4/06/127/06/12

Keywords

  • Aggregation model
  • temperature and emissivity unmixing
  • thermal spectral domain

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