首页> 外文期刊>American Journal of Geographic Information System >Uncover Fully Ignored Vital Bathymetric Data Mysteriously Hidden in Digital Elevation Model Combining with Remote Sensing Imagery (Part 1: Methodology and Theoretical Interpretation)
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Uncover Fully Ignored Vital Bathymetric Data Mysteriously Hidden in Digital Elevation Model Combining with Remote Sensing Imagery (Part 1: Methodology and Theoretical Interpretation)

机译:发现结合数字遥感模型的数字高程模型中神秘隐藏的被完全忽略的重要测深数据(第1部分:方法和理论解释)

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This is an interdisciplinary research to uncover a miss-observed and very important phenomenon in remote sensing. The high valuable bathymetric data hidden in digital elevation models have completely been ignored by scientists and researchers including main organizations in the world for a long time. The contents have been classified into two parts to demonstrate them. In the part 1, the focus is on introducing a special technique of discovering bathymetric data of lakes and rivers by means of remote sensing Image processing and the fact of water depths found in seeking for a resolution to water pollution for a large scale inland lake. The further performance is in analysing causes starting from radar interferometry. The more attentions are paid to how the microwave emitted and received by antennas of synthetic aperture radar installed in satellites during its propagation and scattering back interacts with molecules of chemical compounds in water body using spectral analysis in spectroscopy such as Raman scattering, nuclear magnetic resonance combining with knowledge of quantum mechanics and physical chemistry. The causes of losing those data have been found from phase shifting interferometry during phase detection and terrain mapping. The outcomes of this research have proved a fact that the capacity of microwave detecting depths of water relies on molecular structure, communication and strength of external electromagnetic fields and bathymetric data could also exist near sea coast. Researchnot only offered difference between optical imaging and radar imaging but also established correlation of effectively using individual data.
机译:这是一项跨学科研究,旨在发现遥感中遗漏的,非常重要的现象。长期以来,数字高程模型中隐藏的高价值测深数据已被包括世界主要组织在内的科学家和研究人员完全忽略。内容已分为两部分进行演示。在第1部分中,重点是介绍一种特殊的技术,该技术通过遥感图像处理来发现湖泊和河流的测深数据,并找到水深的事实,以寻求解决大规模内陆湖泊水污染的方法。进一步的性能是从雷达干涉测量法分析原因。借助安装在卫星中的合成孔径雷达的天线,在其传播和散射回波过程中,通过拉曼散射,核磁共振结合等光谱分析方法,如何将其发射和接收的微波与水体中的化合物分子相互作用,从而引起更多关注具备量子力学和物理化学知识。从相位检测和地形图绘制过程中的相移干涉仪中发现了丢失这些数据的原因。这项研究的结果证明了一个事实,即微波检测水深的能力取决于分子结构,外部电磁场的通讯和强度以及测深数据,也可能存在于沿海地区。研究不仅提供了光学成像和雷达成像之间的区别,而且建立了有效利用单个数据的相关性。

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