ABSTRACT

The identification and evaluation of the quality of water reserves will be needed after the landing of man on the Mars’ surface. To solve this problem, we propose two decision-making systems that result from searching for and estimating the ice thickness or the aquifer depth on Mars. These decision-making systems are based on the use of both multi-channel microwave radiometry, spectral optical tools and the corresponding software. Decision-making systems allow the specification and spatial identification of potential water resources and the evaluation of the depth of the ice-water layer. Algorithms for the functional classification of water samples are proposed and the method for diagnosing water quality is described. The technique is based on the recognition of optical spectral images using a database of spectral patterns. The scheme for passive microwave measurements of ice thickness or groundwater is presented. More efficient radiometers are recommended as components of the microwave decision-making system. The 35-channel spectrophotometer and the 128-channel spectroellipsometer are presented as optical tools for the synthesis of spectral images of ice and water samples. An algorithm of optical inverse task solution is given.

摘要

人类登陆火星表面后，将需要对水资源质量进行识别和评估。为了解决这个问题，我们提出了两个决策系统，它们是通过搜索和估计火星上的冰层厚度或含水层深度而产生的。这些决策系统基于多通道微波辐射测量、光谱光学工具和相应软件的使用。决策系统允许潜在水资源的规范和空间识别以及冰水层深度的评估。提出了水样功能分类算法，描述了水质诊断方法。该技术基于使用光谱模式数据库对光谱图像的识别。提出了被动微波测量冰层厚度或地下水的方案。建议使用更高效的辐射计作为微波决策系统的组成部分。35 通道分光光度计和 128 通道分光椭偏仪是用于合成冰和水样品光谱图像的光学工具。给出了一种光学逆任务求解算法。