DocumentCode
3348779
Title
An entropy based classification scheme for polarimetric SAR data
Author
Cloude, S.R.
Author_Institution
IRESTE, Nantes Univ., France
Volume
3
fYear
34881
fDate
10-14 Jul1995
Firstpage
2000
Abstract
Considers a new unsupervised classification scheme for polarimetric SAR data. This scheme makes use of a local estimate of the scattering entropy in the scene to determine the number of discernible classes in the data. Examples are presented of application of the scheme to AIRSAR data provided by NASA/JPL
Keywords
electromagnetic wave scattering; entropy; geophysical signal processing; image classification; polarimetry; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; unsupervised learning; AIRSAR data; discernible classes; entropy based classification scheme; polarimetric SAR data; scattering entropy; scene; unsupervised classification scheme; Additive noise; Eigenvalues and eigenfunctions; Entropy; Equations; Image analysis; Layout; Radar imaging; Radar scattering; Scattering parameters; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.524090
Filename
524090
Link To Document