Forestry applications of high resolution imagery

Tuomas Häme, Mikael Holm, Susanna Rautakorpi, Eija Parmes

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

Abstract

In this paper a possible chain for the processing and interpretation of high resolution imagery is presented. It staxts from the basic geometric and radiometric processing of the images and ends at the numerical interpretation ap-proaches. With a spatial resolution of few meters new problems in the image analysis process are encountered. First, many images have to be combined into mosaics. Sec-ond, traditional pixel by pixel approaches in the interpretation are not successful when the neighbouring pixels represent tree crowns and the shaded space between the crowns. A test example is shown using airborne digital high resolution imagery. It was possible to create high quality mosaics automatically using more than a hundred images. The combination of textural information with spectral information in the image interpretation seemed to be a sound base for further research.
Original languageEnglish
Title of host publicationMachine Vision and Advanced Image Processing in Remote Sensing
Place of PublicationBerlin
PublisherSpringer
Pages111-120
ISBN (Electronic)978-3-642-60105-7
ISBN (Print)978-3-642-64260-9
DOIs
Publication statusPublished - 1999
MoE publication typeNot Eligible

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forestry
imagery
pixel
image analysis
spatial resolution
mosaic

Keywords

  • Digital Terrain Model
  • Image Mosaic
  • Forestry Application

Cite this

Häme, T., Holm, M., Rautakorpi, S., & Parmes, E. (1999). Forestry applications of high resolution imagery. In Machine Vision and Advanced Image Processing in Remote Sensing (pp. 111-120). Berlin: Springer. https://doi.org/10.1007/978-3-642-60105-7_10
Häme, Tuomas ; Holm, Mikael ; Rautakorpi, Susanna ; Parmes, Eija. / Forestry applications of high resolution imagery. Machine Vision and Advanced Image Processing in Remote Sensing. Berlin : Springer, 1999. pp. 111-120
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Häme, T, Holm, M, Rautakorpi, S & Parmes, E 1999, Forestry applications of high resolution imagery. in Machine Vision and Advanced Image Processing in Remote Sensing. Springer, Berlin, pp. 111-120. https://doi.org/10.1007/978-3-642-60105-7_10

Forestry applications of high resolution imagery. / Häme, Tuomas; Holm, Mikael; Rautakorpi, Susanna; Parmes, Eija.

Machine Vision and Advanced Image Processing in Remote Sensing. Berlin : Springer, 1999. p. 111-120.

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

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AB - In this paper a possible chain for the processing and interpretation of high resolution imagery is presented. It staxts from the basic geometric and radiometric processing of the images and ends at the numerical interpretation ap-proaches. With a spatial resolution of few meters new problems in the image analysis process are encountered. First, many images have to be combined into mosaics. Sec-ond, traditional pixel by pixel approaches in the interpretation are not successful when the neighbouring pixels represent tree crowns and the shaded space between the crowns. A test example is shown using airborne digital high resolution imagery. It was possible to create high quality mosaics automatically using more than a hundred images. The combination of textural information with spectral information in the image interpretation seemed to be a sound base for further research.

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Häme T, Holm M, Rautakorpi S, Parmes E. Forestry applications of high resolution imagery. In Machine Vision and Advanced Image Processing in Remote Sensing. Berlin: Springer. 1999. p. 111-120 https://doi.org/10.1007/978-3-642-60105-7_10