Environmental Evaluation of Seto Inland Sea by Remote Sensing

近年来，酸雨问题、绿色住宅效应、臭氧层破坏等环境问题已成为人们关注的焦点，并对人类未来的生活造成了严重影响。在这项研究中，我们考虑了环境评价的濑户内海遥感数据分析。特别地，从全球环境观点来看，绿色房屋效应问题已经变得重要。对于这样一个问题，遥感技术适合于获得大范围的环境状况。但是为了将环境状况作为二维图像来获取，我们需要表面上的环境数据，这些数据被称为大真值数据。因此，在1990年，我们收集了分布在中国或四国地区的濑户内海的水污染数据，并建立了关于地面实况数据的数据库。然后在1991年利用遥感分析和地面实况数据对濑户内海的LANDSAT TM数据进行了分析。最后，在1992年，我们讨论了获得的图像和地面实况数据之间的误差。此外，我们还介绍了一种新的遥感方法，神经网络的基础上，以获得更精确的分类结果相比，传统的贝叶斯方法。

Recently, various environmental problems such as acid rain problem,green house effect, and ozonn layer damage have been focused on sice those problems are serious for our lives in the future. In this study, we have considered environmental evaluation in Seto Inland Sea by remote sensing data analysis. Especially, a green house effect problem has become important from global environmental viewpoints. For such a problem, the remote sensing technique is suitable for getting an environmental situation in a wide, range. But in order to get the environmental situation as a two-dimensional image, we need the environmental data on the surface, which are called grand truth data. Therefore, in 1990 we have gathered the water pollution data in Seto Inland Sea which have been distributed in Chugoku or Shikoku areas and constructed the data base about the ground truth data. Then in 1991 we have analysed the LANDSAT TM data in Seto Inland Sea by using the remote sensing analysis and ground truth data. Finally, in 1992 we have discussed the error between the obtained image and the ground truth data. Furthermore, we have introduced a new remote sensing method based on neural networks in order to obtain more precise classification results compared with a conventional Bayesian method.