2P2-C12 ヘリコプタ画像の融合による衛星リモートセンシング

概要

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Recently, field imageries became easy to obtain by QuickBird-2, SPOT and other satellites ; however, they are still negatively affected by atmospheric conditions, and their spatial resolution remains fairly low causing large position errors. Moreover, a large number of reference points is also required to estimate the field conditions accurately. The objective of this study is to develop a reliable field monitoring system combining helicopter-base and satellite-base remote-sensing. An ambient illumination (AI) sensor was attached to the unmanned helicopter to compensate for the effect of atmospheric conditions. The normalized difference vegetation index (NDVI) of satellite images is transformed to reflectance value through corresponding images acquired by the unmanned helicopter, which are then used for calibration of satellite imagery. Therefore, the helicopter-base system effectively contributes to the enhancement of the satellite-base remote-sensing.
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