A Study on feature extraction from Land Date acquired by Spaceborne Polarimetric Synthetic Aperture Radar
| Project/Area Number |
20760267
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Measurement engineering
|
|---|
| Research Institution | Nagasaki University |
|---|
Principal Investigator |
MORIYAMA Toshifumi Nagasaki University, 工学部, 助教 (20452873)
|
|---|
| Project Period (FY) |
2008 – 2009
|
| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | 合成開口レーダ / 偏波 / 独立成分分析 / 偏波校正 / 散乱行列分解 / 遺伝的アルゴリズム / 偏波間相関係数 / PSO |
|---|
| Research Abstract |
This research deals with the feature extraction from land data acquired by spaceborne polarimetric synthetic aperture radar (POLSAR). In order to analyze polarimetric data, PALSAR data is used. PALSAR was the first spaceborne POLSAR in the world. In this research, I considered three subjects. First, I developed new polarimetric calibration method for spaceborne POLSAR data. Since the evolutional technique, e.g. Genetic Algorithm (GA) and Particle Swarm Optimization, the reciprocity and a polarimetric scattering property of urban area are used, the polarimetric calibration experiment can be carried out in the urban area. Next, I examined the independent component analysis (ICA) to analyze polarimetric data. In this case, I used the amplitude data only. However, it was difficult to get clear features of land area from ICA data. Finally, I considered the scattering component decomposition technique with polarization orientation angle shifts. This approach could show the difference between urban area and natural area.
|
Report
(3 results)
Research Products
(12 results)
