Pantze, Andreas
- Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet
Sammanfattning
In this study, we assess the efficiency of using L-band satellite SAR for forest change monitoring, by applying a combination of change detection techniques to SAR backscatter intensity images acquired over Swedish forest. We use a bi-temporal change detection approach based on image rationing. Histogram based techniques are used both for radiometric normalization and thresholding. For a final classification step, we evaluate a data fusion based change detection method that exploits the spatial and spectral information from one or multiple SAR channels. Pre-applied filters are also evaluated as alternatives to tackle low resolution and speckle. HH and HV polarized Fine Beam Dual images, acquired 34 degrees off nadir (FBD34) by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR), are used to find clear-cuts in Swedish boreal forest. Our results show that clear-cuts can be clearly extracted from L-band SAR data.
Nyckelord
Synthetic aperture radar; forest; change detection; histogram matching; thresholding; data fusion
Publicerad i
IEEE International Geoscience and Remote Sensing Symposium proceedings
2010, sidor: 1226-1229
Titel: 2010 IEEE International Geoscience & Remote Sensing Symposium
Utgivare: Institute of Electrical and Electronics Engineers
Konferens
IGARSS 2010 Symposium, Remote Sensing: Global Vision for Local Action, 30th Anniversary
SLU författare
Fransson, Johan
- Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet
- Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet
UKÄ forskningsämne
Skogsvetenskap
Publikationens identifierare
- DOI: https://doi.org/10.1109/IGARSS.2010.5650677
- ISBN: 978-1-4244-9565-8
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/30932