Full text of this article is only available in PDF format.

Guangxing Wang (email), Simo Poso, Mark-Leo Waite, Markus Holopainen

The use of digitized aerial photographs and local operation for classification of stand development classes

Wang G., Poso S., Waite M.-L., Holopainen M. (1998). The use of digitized aerial photographs and local operation for classification of stand development classes. Silva Fennica vol. 32 no. 3 article id 682. https://doi.org/10.14214/sf.682

Abstract

The increasing capacity of modern computers has created the opportunity to routinely process the very large data sets derived by digitizing aerial photographs. The very fine resolution of such data sets makes them better suited than satellite imagery for some applications; however, there may be problems in implementation resulting from variation in radial distortion and illumination across an aerial photograph. We investigated the feasibility of using local operators (e.g., non-overlapping moving window means and standard deviations) as auxiliary data for generating stand development classes via three steps: (i) derive 6 local operators intended to represent texture for a 16 by 16 m window corresponding to a forest inventory sampling unit, (ii) apply a calibration process (e.g., accounting for location relative to a photo's principal point and solar position) to these local operators, and (iii) apply the calibrated local operators to classify the forest for stand development. Results indicate that calibrated local operators significantly improve the classification compared to what is possible using uncalibrated local operators and satellite images.

Keywords
digitized aerial photographs; plot window location; calibration; classification; local operation

Author Info
  • Wang, Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, IL, USA ORCID ID:E-mail wang12@staff2.cso.uiuc.edu (email)
  • Poso, Department of Forest Resource Management, P.O. Box 24, FIN-00014 University of Helsinki, Finland ORCID ID:
  • Waite, Department of Forest Resource Management, P.O. Box 24, FIN-00014 University of Helsinki, Finland ORCID ID:
  • Holopainen, Department of Forest Resource Management, P.O. Box 24, FIN-00014 University of Helsinki, Finland ORCID ID:

Received 21 July 1997 Accepted 8 July 1998 Published 31 December 1998

Available at https://doi.org/10.14214/sf.682 | Download PDF

Creative Commons License

Register
Click this link to register for Silva Fennica submission and tracking system.
Log in
If you are a registered user, log in to save your selected articles for later access.
Contents alert
Sign up to receive alerts of new content

Your selected articles
Your search results