| Project/Area Number |
17560369
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Measurement engineering
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| Research Institution | Niigata University |
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Principal Investigator |
YAMAGUCHI Yoshio Niigata University, Institute of Science and Technology, Professor, 自然科学系, 教授 (50115086)
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| Co-Investigator(Kenkyū-buntansha) |
YAMADA Hiroyoshi Niigata University, Institute of Science and Technology, Associate Professor, 自然科学系, 助教授 (20251788)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2006: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 2005: ¥1,900,000 (Direct Cost: ¥1,900,000)
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| Keywords | polarization / Synthetic Aperture Radar / Scattering matrix / Classification of target / Identification / Satellite |
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| Research Abstract |
Preservation of the healthy earth environment is vital for all human beings. For monitoring the earth environment, remote sensing by airborne radar or space borne radar play important role for the purpose. Fortunately, Advanced Land Observing Satellite named "Daichi" was successfully launched by JAXA on Jan.24,2006. This satellite is the first space borne polarimetric SAR in the world. It has been attracting attention among world research institutions because of its fully polarimetric data take function.
The purpose of the project has been "how to use the polarimetric data" and "what kind of information can be obtained?" In this regard, we carried out the research on decomposition of scattering power acquired by polarimetric radar. The results are summarized as follows :
1)Four independent information can be extracted from polarimetric data
2)Based on the second order statistics, we can construct various matrices. However, the essential components can be regarded as four.
3)The covariance
… More
matrix and the coherency matrix can be decomposed into 4 sub-matrices which represent physical scattering nature. These are surface scattering, double bounce scattering, volume scattering, and helix scattering. The 4 scattering powers can be generated from these matrices. This decomposition technique is natural extension of the 3-component decomposition method previously proposed by Durden and Freeman at JPL, USA. The decomposition algorithm developed during the project is simple and easy to implement. Therefore it is quite useful for classification and identification of targets.
4)The four components represent physical scattering characteristics very well so that one can see the scattering phenomena just looking into the decomposed color-coded POLSAR image.
5)The result has been confirmed by airborne Pi-SAR datasets in Niigata Area.
In addition, the principle of radar polarimetry together with the decomposition scheme and the project results are described in detail in a report so that students and/or beginners can join this important field. Less
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