Title :
A high-resolution imaging of small objects for subsurface radar data processing
Author :
Sato, Toru ; Wakayama, Toshio ; Takemura, Kentaro ; Kimura, I.
Author_Institution :
Dept. of Electron. & Commun., Kyoto Univ., Japan
Abstract :
In subsurface radar applications, it is often experienced that the requirements for the resolution and the penetration depth contradict each other. For example, pre-excavation survey of archaeological sites may require one to detect buried objects of the order of 10 cm at a depth of 1 m. In such a case, the compromise will be the use of around 500 MHz, for which the target is on the order of a radar wavelength. We refer to the target in such a situation as a `small object´. It is thus hard to identify the shape of the object with conventional signal processing such as the synthetic aperture method. Our objective is to develop a robust high-resolution imaging algorithm applicable to targets whose dimension is close to the radar wavelength. In order to avoid instabilities in super-resolution techniques, we limit the freedom in the estimation by properly modeling the target as well as the parameters of the medium
Keywords :
image resolution; radar detection; radar imaging; remote sensing by radar; 500 MHz; archaeological sites; buried objects; estimation; freedom; high-resolution imaging; penetration depth; pre-excavation survey; shape; small object; small objects; subsurface radar data processing; super-resolution techniques; target; Buried object detection; Ground penetrating radar; High-resolution imaging; Radar detection; Radar imaging; Radar signal processing; Robustness; Shape; Signal processing algorithms; Signal resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516471