Image quality, statistical and textural properties of SAREX data from the Tapajos test site

Author

Grover, K.D. ; Quegan, S. ; Tissi, P. ; Alves, A. Hiroshi

Author_Institution

Centre for Earth Obs. Sci., Sheffield Univ., UK

Volume

2

fYear

1994

fDate

8-12 Aug. 1994

Firstpage

1054

Abstract

The image quality of the SAREX data set from the Tapajos test site is examined in the light of the available CCRS calibration data. Noise removal and its effects on the statistical properties of the data is addressed. Mathematical modeling is used to predict HH/VV differences, incidence angle effects and general trends; these are compared to the SAREX date. Model results are close to observations up to near grazing angles of incidence. Observed large HH/VV differences seen at near grazing angles may be due to surface scattering from the top of the forest canopy allied with Brewster angle effects. Textural discrimination of surface cover types is investigated; preliminary results are presented.

Keywords

forestry; geophysical signal processing; geophysical techniques; image classification; image texture; radar applications; radar imaging; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; Amazon; Brazil; Brewster angle effect; HH; SAR synthetic aperture radar VV; SAREX; Tapajos test site; forest canopy; forestry; geophysical measurement technique; grazing angle; image classification; image quality; image texture; mathematical model; polarization polarimetry; radar remote sensing; surface scattering; terrain mapping land surface; textural properties; tropical forest; vegetation mapping; Azimuth; Calibration; Geoscience; Image quality; Light scattering; Mathematical model; Noise generators; Noise level; Radar remote sensing; Radar scattering; Surface texture; Testing;

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

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399341

Filename

399341