World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Reflectance Calibration Scheme for Airborne Frame Camera Images : Volume Xxxix-b7, Issue 1 (25/07/2012)

By Beisl, U.

Click here to view

Book Id: WPLBN0004016816
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Reflectance Calibration Scheme for Airborne Frame Camera Images : Volume Xxxix-b7, Issue 1 (25/07/2012)  
Author: Beisl, U.
Volume: Vol. XXXIX-B7, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Beisl, U. (2012). Reflectance Calibration Scheme for Airborne Frame Camera Images : Volume Xxxix-b7, Issue 1 (25/07/2012). Retrieved from

Description: Leica Geosystems AG, 9435 Heerbrugg, Switzerland. The image quality of photogrammetric images is influenced by various effects from outside the camera. One effect is the scattered light from the atmosphere that lowers contrast in the images and creates a colour shift towards the blue. Another is the changing illumination during the day which results in changing image brightness within an image block. In addition, there is the so-called bidirectional reflectance of the ground (BRDF effects) that is giving rise to a view and sun angle dependent brightness gradient in the image itself. To correct for the first two effects an atmospheric correction with reflectance calibration is chosen. The effects have been corrected successfully for ADS linescan sensor data by using a parametrization of the atmospheric quantities. Following Kaufman et al. the actual atmospheric condition is estimated by the brightness of a dark pixel taken from the image. The BRDF effects are corrected using a semi-empirical modelling of the brightness gradient. Both methods are now extended to frame cameras. Linescan sensors have a viewing geometry that is only dependent from the cross track view zenith angle. The difference for frame cameras now is to include the extra dimension of the view azimuth into the modelling. Since both the atmospheric correction and the BRDF correction require a model inversion with the help of image data, a different image sampling strategy is necessary which includes the azimuth angle dependence. For the atmospheric correction a sixth variable is added to the existing five variables visibility, view zenith angle, sun zenith angle, ground altitude, and flight altitude – thus multiplying the number of modelling input combinations for the offline-inversion. The parametrization has to reflect the view azimuth angle dependence. The BRDF model already contains the view azimuth dependence and is combined with a new sampling strategy.



Click To View

Additional Books

  • Monitoring the Changes of Lakes in the S... (by )
  • An Analysis of Surface Subsidence in Chi... (by )
  • 3D-antlers: Virtual Reconstruction and T... (by )
  • Short Baseline Terrasar-x Psi for Monito... (by )
  • The Eurosdr Project Radiometric Aspects ... (by )
  • Participatory Gis in Action, a Public He... (by )
  • The Performance Analysis of an Indoor Mo... (by )
  • Feature Line Based Building Detection an... (by )
  • Utilizing the Global Land Cover 2000 Ref... (by )
  • Segmentation of Planar Surfaces in Lidar... (by )
  • Urban Area Extraction in Sar Data : Volu... (by )
  • Challenges of Remote Sensing and Spatial... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.