DocumentCode
1900028
Title
Dual polarised Entropy/alpha decomposition and coherence optimisation for improved forest height mapping
Author
Zhou, Zheng-Shu ; Caccetta, Peter ; Lehmann, Eric ; Held, Alex ; McNeill, Stephen ; Mitchell, Anthea ; Milne, Anthony ; Tapley, Ian ; Lowell, Kim
Author_Institution
Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Canberra, ACT, Australia
fYear
2011
fDate
24-29 July 2011
Firstpage
3951
Lastpage
3954
Abstract
In this paper we propose an approach implementing the dual polarised Entropy/alpha decomposition [1] and coherence optimisation [8] for improved forest mapping. We explore the dual polarised Entropy/alpha decomposition for better forest/non-forest discrimination and the multiple partial polarimetric coherence optimisation for subsequent forest canopy/height estimation. The integrated forest discrimination and coherence-forest height estimation for the task of producing forest extent, change and trend information are examined with in situ LiDAR data.
Keywords
entropy; forestry; optical radar; optimisation; radar polarimetry; remote sensing by laser beam; vegetation mapping; alpha decomposition process; coherence-forest height estimation; dual polarised entropy; forest discrimination analysis; forest height mapping method; in situ lidar data; nonforest discrimination analysis; partial polarimetric coherence optimisation method; Biomass; Coherence; Entropy; Laser radar; Optimization; Radar polarimetry; coherence optimisation; dual polarised Entropy/alpha decomposition; multiple scattering mechanisms (MSM);
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location
Vancouver, BC
ISSN
2153-6996
Print_ISBN
978-1-4577-1003-2
Type
conf
DOI
10.1109/IGARSS.2011.6050096
Filename
6050096
Link To Document