Forestry applications of high resolution imagery

Tuomas Häme; Mikael Holm; Susanna Rautakorpi; Eija Parmes

doi:10.1007/978-3-642-60105-7_10

Forestry applications of high resolution imagery

Tuomas Häme, Mikael Holm, Susanna Rautakorpi, Eija Parmes

BA16 Data-driven solutions

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Machine Vision and Advanced Image Processing in Remote Sensing
Place of Publication	Berlin
Publisher	Springer
Pages	111-120
ISBN (Electronic)	978-3-642-60105-7
ISBN (Print)	978-3-642-64260-9
DOIs	https://doi.org/10.1007/978-3-642-60105-7_10
Publication status	Published - 1999
MoE publication type	Not Eligible

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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). Springer. https://doi.org/10.1007/978-3-642-60105-7_10

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N2 - 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.

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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KW - Image Mosaic

KW - Forestry Application

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DO - 10.1007/978-3-642-60105-7_10

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Access to Document

10.1007/978-3-642-60105-7_10