Title :
The fusion of polarimetric AirSAR data with digital aerial photography to improve aquatic macrophtye classification in a tropical reservoir
Author :
Bartolo, Renee E. ; Forner, Joshua ; Bell, Darren ; Menges, C.H. ; Hill, Greg J E
Author_Institution :
Fac. of SITE, Northern Territory Univ., Darwin, NT, Australia
Abstract :
Previous attempts to map wetland environments in northern Australia using optical satellite sensors have highlighted the difficulties in mapping the vegetation in these systems using remotely sensed data. Recently, more promising results have been achieved through the use of polarimetric AirSAR obtained during the 1996 PACRIM campaign. The mapping has been conducted on a tropical floodplain containing a reservoir, Fogg Dam, that is characterised by a permanent water supply. A maximum likelihood supervised classification was implemented on four data sets: CIR photography; a Cloude decomposed 9 band AirSAR image; the optimum 3 band combination Cloude decomposed image; and the fused data. The macrophtye classification was improved when utilising AirSAR data, with the 3 band decomposed image yielding the most accurate results
Keywords :
airborne radar; image classification; maximum likelihood estimation; photography; radar imaging; radar polarimetry; remote sensing by radar; sensor fusion; vegetation mapping; Australia; CIR photography; Cloude decomposed 9 band AirSAR image; Fogg Dam; PACRIM; aquatic macrophtye classification; digital aerial photography; maximum likelihood supervised classification; optical satellite sensors; optimum 3 band combination Cloude decomposed image; polarimetric AirSAR data; tropical floodplain; tropical reservoir; vegetation; wetland environments; Australia; Electromagnetic scattering; Optical scattering; Optical sensors; Photography; Radar scattering; Remote monitoring; Reservoirs; Sea measurements; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976862