Abstract
| 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 | |
| Publication status | Published - 1999 |
| MoE publication type | Not Eligible |
Fingerprint
Keywords
- Digital Terrain Model
- Image Mosaic
- Forestry Application
Cite this
}
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 proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Forestry applications of high resolution imagery
AU - Häme, Tuomas
AU - Holm, Mikael
AU - Rautakorpi, Susanna
AU - Parmes, Eija
PY - 1999
Y1 - 1999
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.
KW - Digital Terrain Model
KW - Image Mosaic
KW - Forestry Application
U2 - 10.1007/978-3-642-60105-7_10
DO - 10.1007/978-3-642-60105-7_10
M3 - Conference article in proceedings
SN - 978-3-642-64260-9
SP - 111
EP - 120
BT - Machine Vision and Advanced Image Processing in Remote Sensing
PB - Springer
CY - Berlin
ER -