Artifacts Suppression of Passive Millimeter-Wave SAIR Imaging
- Resource Type
- Conference
- Authors
- Shao, Xiaotao; Wei, Caike; Shen, Yan; Wang, Caiyun; Hao, Xiaoli; Hou, Ya-Li; Wang, Xinmin
- Source
- IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :8901-8904 Jul, 2019
- Subject
- Aerospace
Geoscience
Signal Processing and Analysis
Image reconstruction
Interpolation
Imaging
Millimeter wave technology
Small satellites
Satellite broadcasting
passive SAIR
sparse baseline
CLEAN
interpolation
- Language
- ISSN
- 2153-7003
Images retrieved from the passive millimeter-wave synthetic aperture interferometric radiometer (SAIR) with small satellites formation suffer from the artifacts due to the very sparse sampling data in the u-v plane. To reduce the artifacts, we firstly propose a UV-interpolation method to obtain more data with accurate amplitude and phase values in u-v plane; and secondly propose the local CLEAN method to keep the object structure in the spatial domain. Experimental results show that the proposed method can reconstruct the ground object with higher accuracy.