liu.seSök publikationer i DiVA
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Illumination and shadow compensation of hyperspectral images using a digital surface model and non-linear least squares estimation
Swedish Defence Research Agency, Linköping, Sweden.
Swedish Defence Research Agency, Linköping, Sweden.
Termisk Systemteknik, Linköping, Sweden.ORCID-id: 0000-0002-6763-5487
2011 (Engelska)Ingår i: Proc. SPIE 8180, Image and Signal Processing for Remote Sensing XVII / [ed] Lorenzo Bruzzone, SPIE - International Society for Optical Engineering, 2011, s. Art.nr 8180-26-Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Object detection and material classification are two central tasks in electro-optical remote sensing and hyperspectral imaging applications. These are challenging problems as the measured spectra in hyperspectral images from satellite or airborne platforms vary significantly depending on the light conditions at the imaged surface, e.g., shadow versus non-shadow. In this work, a Digital Surface Model (DSM) is used to estimate different components of the incident light. These light components are subsequently used to predict what a measured spectrum would look like under different light conditions. The derived method is evaluated using an urban hyperspectral data set with 24 bands in the wavelength range 381.9 nm to 1040.4 nm and a DSM created from LIDAR 3D data acquired simultaneously with the hyperspectral data

Ort, förlag, år, upplaga, sidor
SPIE - International Society for Optical Engineering, 2011. s. Art.nr 8180-26-
Serie
Proceedings of SPIE, ISSN 0277-786X ; 8180
Nyckelord [en]
hyperspectral, shadows, illumination model, digital surface model
Nationell ämneskategori
Fjärranalysteknik
Identifikatorer
URN: urn:nbn:se:liu:diva-120507DOI: 10.1117/12.898084ISBN: 9780819488077 (tryckt)OAI: oai:DiVA.org:liu-120507DiVA, id: diva2:845461
Konferens
Image and Signal Processing for Remote Sensing XVII, Prague, Czech Republic, 19–21 September 2011
Tillgänglig från: 2015-08-12 Skapad: 2015-08-12 Senast uppdaterad: 2015-09-22Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Personposter BETA

Friman, OlaAhlberg, Jörgen

Sök vidare i DiVA

Av författaren/redaktören
Friman, OlaAhlberg, Jörgen
Fjärranalysteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 242 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf