| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
In this research, we propose useful techniques for accurately understanding the situation of stricken area, by making full use of quad-pol SAR data. Here, two useful algorithms are proposed as 1) Water level estimation algorithm by considering the distance between bridge and water surface in flooded area, and 2) Stricken man-made objects detection algorithm based on eigenvalue/eigenvector analysis. In both algorithms, polarimetric orientation angle compensation is carried out as a pre-processing to each main process. It was confirmed by the result of PolSAR image analysis for ALOS/PALSAR and ALOS-2/PALSAR-2 data that each algorithm is valid for the water level estimation and the man-made objects detection. Furthermore, it was verified for the quad-pol SAR data acquired by polarimetric scattering measurement for a scaled man-made object model with inclined sidewalls in anechoic chamber that the detection algorithm is still effective even for the deformed/inclined objects.
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