Super-resolution scatterometer image reconstruction using total variation regularization method

Author

Qian Wang ; Ting Yun ; Xiaolong Dong

Author_Institution

CAS Key Lab. of Microwave Remote Sensing, Nat. Space Sci. Center, Beijing, China

fYear

2014

fDate

13-18 July 2014

Firstpage

3065

Lastpage

3068

Abstract

The resolution of the present spaceborne scatterometers are challenged by some applications like polar ice mapping and soil moisture mapping. In this paper, a new image reconstruction method is proposed to apply to the scatterometer image reconstruction for the rotating fan-beam spaceborne scatterometer (RFSCAT) called the total variation regularization. The simulation experiments show that the new method can improve the quality of the reconstructed image through both resolution enhancement and noise reduction at the same time.

Keywords

geophysical image processing; geophysical techniques; image denoising; image reconstruction; image resolution; variational techniques; RFSCAT; noise reduction; polar ice mapping; resolution enhancement; rotating fan-beam spaceborne scatterometer; same time; soil moisture mapping; spaceborne scatterometers; super-resolution scatterometer image reconstruction; total variation regularization; total variation regularization method; Extraterrestrial measurements; Image reconstruction; Image resolution; Radar measurements; Spaceborne radar; TV; Tropical cyclones; Image reconstruction; Scatterometer; Total variation regularization;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947124

Filename

6947124