Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947124
