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ENHANCEMENT OF SATELLITE IMAGERIES USING AN UNMANNED HELICOPTER FOR ENVIRONMENT MONITORING

机译:使用无人驾驶直升机进行环境监测的卫星成像仪的增强

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Recently, the satellite imageries were interested for the environment monitoring. In order to estimate soil state and the crop growth from satellite imagery, grand truth data measured at the point were usually used for calibration. Although the resolution of the satellite imagery is improving in recent years, there is a difference of imagery resolution between grand truth and satellite imagery. It causes one of the reasons of calibration errors. Moreover, an acquired satellite image contains mixel which has crops and soil data in a same pixel. In this mixel, it is difficult to separate color information and vegetation density. On the other hand, the imagery acquired by an unmanned helicopter can indicate the crop state from color information and vegetation density in precisely, because it can acquire the higher resolution imageries than satellite imageries. From these backgrounds, this study aims to develop the environment monitoring system that was precisely and could be adapted to wide area using a satellite imagery calibrated by estimated value from unmanned helicopter imagery.
机译:最近,卫星成像者对环境监测有兴趣。为了估计土壤状态和来自卫星图像的作物生长,在该点测量的大型真理数据通常用于校准。虽然近年来,卫星图像的分辨率正在改善,但在宏观真理和卫星图像之间的图像分辨率有所不同。它导致校准错误的原因之一。此外,所获取的卫星图像包含混合,其在相同的像素中具有作物和土壤数据。在这种混合物中,很难分离颜色信息和植被密度。另一方面,由无人驾驶直升机获取的图像可以精确地指示从颜色信息和植被密度的作物状态,因为它可以比卫星成像仪获取更高分辨率的成像。从这些背景中,本研究旨在开发环境监测系统,精确地,可以使用由无人直升机图像的估计值校准的卫星图像来调整到广域的广域。

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