科技报告详细信息
Next-Generation Sensing Technologies for Exploring Ocean Worlds
Chirayath, Ved
关键词: REMOTE SENSING;    OCEANS;    OCEAN SURFACE;    DETECTION;    NEURAL NETS;    REFLECTANCE;    SPECTRAL REFLECTANCE;    IMAGING TECHNIQUES;    CORAL REEFS;    AERIAL RECONNAISSANCE;    UNMANNED AIRCRAFT SYSTEMS;    SAMOA;    AUSTRALIA;   
RP-ID  :  ARC-E-DAA-TN65987,ARC-E-DAA-TN61144,ARC-E-DAA-TN60494
学科分类:海洋学与技术
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】
Dr. Ved Chirayath's plenary presentation will highlight two instrument technologies he invented at NASA including Fluid Lensing, the first remote sensing technology capable of imaging through ocean waves in 3D at sub-cm resolutions, and MiDAR (Multispectral Imaging, Detection and Active Reflectance), a next-generation active hyperspectral remote sensing and optical communications instrument. Fluid Lensing has been used to provide the first 3D multispectral imagery of shallow marine systems from unmanned aerial vehicles (UAVs, or drones), including coral reefs in American Samoa and stromatolite reefs in Hamelin Pool, Western Australia. MiDAR is being deployed on aircraft, and underwater remotely operated vehicles (ROVs) as a new method to remotely sense living and nonliving structures in extreme environments. MiDAR images targets with high-intensity narrowband structured optical radiation to measure an object's non-linear spectral reflectance, image through fluid interfaces such as ocean waves with active fluid lensing, and simultaneously transmit high-bandwidth data. As an active instrument, MiDAR is capable of remotely sensing reflectance at the centimeter (cm) spatial scale with a signal-to-noise ratio (SNR) multiple orders of magnitude higher than passive airborne and spaceborne remote sensing systems with significantly reduced integration time. This allows for rapid video-frame-rate hyperspectral sensing into the far ultraviolet and VNIR wavelengths. Finally, Chirayath will present preliminary results from NASA NeMO-Net (Neural Multi-Modal Observation and Training Network), the first neural network for global coral reef classification using fluid lensing and MiDAR.
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