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Solving for ambiguities in radar geophysical exploration of planetary bodies by mimicking bats echolocation

机译:通过模拟蝙蝠的回声定位来解决行星地球雷达地球物理探测中的歧义

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摘要

Sounders are spaceborne radars which are widely employed for geophysical exploration of celestial bodies around the solar system. They provide unique information regarding the subsurface structure and composition of planets and their moons. The acquired data are often affected by unwanted artifacts, which hinder the data interpretation conducted by geophysicists. Bats possess a remarkable ability in discriminating between a prey, such as a quick-moving insect, and unwanted clutter (e.g., foliage) by effectively employing their bio-sonar perfected in million years of evolution. Striking analogies occur between the characteristics of bats sonar and the one of a radar sounder. Here we propose an adaptation of the unique bat clutter discrimination capability to radar sounding by devising a novel clutter detection model. The proposed bio-inspired strategy proves its effectiveness on Mars experimental data and paves the way for a new generation of sounders which eases the data interpretation by planetary scientists.
机译:测深仪是星载雷达,广泛用于太阳系周围天体的地球物理探测。它们提供有关行星及其卫星的地下结构和组成的独特信息。采集的数据通常会受到不想要的伪影的影响,这些伪影会妨碍地球物理学家进行数据解释。蝙蝠通过有效利用经过数百万年进化而完善的生物声纳,具有非凡的能力来区分猎物(例如快速移动的昆虫)和有害杂物(例如树叶)。蝙蝠声纳的特性与雷达测深仪之一之间具有惊人的类比。在这里,我们通过设计一种新颖的杂波检测模型,提出了一种独特的蝙蝠杂波识别能力对雷达探测的适应方法。拟议中的以生物为灵感的策略在火星实验数据上证明了其有效性,并为新一代发声器铺平了道路,从而简化了行星科学家对数据的解释。

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