DocumentCode :
2681059
Title :
Statistical models for polarimetric SAR data
Author :
Quegan, Shaun ; Rhodes, Ian ; Caves, Ron
Author_Institution :
Centre for Earth Obs. Sci., Sheffield Univ., UK
Volume :
3
fYear :
1994
fDate :
8-12 Aug 1994
Firstpage :
1371
Abstract :
Agricultural areas in low resolution AirSAR polarimetric data exhibit K distributed statistics. The order parameter of the K distribution shows considerable variation with frequency and vegetation type. At C-band, all vegetation types give large order parameters, so that they are essentially gaussian, but order parameters decrease with frequency, markedly so for cereal crops. Coniferous woodland is gaussian at all frequencies. Root crops show intermediate behaviour, being better fitted by K distributions whose order parameters are not as low as those of cereals. These results indicate that five parameters are sufficient to describe distributed agricultural targets at higher frequencies, but an extra parameter is available at lower frequencies
Keywords :
agriculture; airborne radar; backscatter; forestry; geophysical techniques; microwave imaging; radar applications; radar cross-sections; radar imaging; radar polarimetry; radar target recognition; remote sensing by radar; synthetic aperture radar; C-band; K distributed statistics; SHF microwave; UHF VHF; agricultural area; agricultural target identification; cereal crops; coniferous woodland forest forestry; geophysical measurement technique; low resolution AirSAR; order parameter; parameters; polarimetric SAR; polarimetry; radar remote sensing; radar scattering backscatter; root crops; statistical model; vegetation mapping; vegetation type; Covariance matrix; Crops; Filtering; Frequency; Geoscience; Random variables; Scattering parameters; Speckle; Statistical distributions; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399442
Filename :
399442
Link To Document :
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