A5084702002- Atmospheric aerosols and clouds
- Adaptive optics and wavefront sensing
- Air Quality Monitoring and Forecasting
- Geochemistry and Geologic Mapping
- Coral and Marine Ecosystems Studies
- Aeolian processes and effects
- Scientific Research and Discoveries
- Optical Wireless Communication Technologies
- Infrared Target Detection Methodologies
- Air Traffic Management and Optimization
- Advanced Computational Techniques and Applications
- Marine Ecology and Invasive Species
- Genomics and Phylogenetic Studies
- Atmospheric chemistry and aerosols
- Geophysical Methods and Applications
- Electromagnetic Scattering and Analysis
- Marine Invertebrate Physiology and Ecology
- Microwave Imaging and Scattering Analysis
- Advanced Image Processing Techniques
- Allergic Rhinitis and Sensitization
- Plant Surface Properties and Treatments
- Risk and Safety Analysis
- Image Enhancement Techniques
Harvard University
2018-2020
Harvard University Press
2018
U.S. Air Force Institute of Technology
2018
Revolutionary advancements in underwater imaging, robotics, and genomic sequencing have reshaped marine exploration. We present demonstrate an interdisciplinary approach that uses emerging quantitative imaging technologies, innovative robotic encapsulation system with situ RNA preservation next-generation to gain comprehensive biological, biophysical, data from deep-sea organisms. The synthesis of these provides rich morphological genetic information for species description, surpassing...
Accurate characterization of atmospheric turbulence is useful for performance assessment optical systems operating in real environments and designing to mitigate effects. Irradiance-based techniques such as scintillometry, suffer from saturation, hence commercial scintillometers have limited operational ranges. A method estimate parameters, path weighted Cn2 Fried's coherence diameter r0 turbulence-induced random, differential motion extended features the time-lapse imagery a distant target...
This paper explores the through-the-wall inverse scattering problem via machine learning. The reconstruction method seeks to discover shape, location, and type of hidden objects behind walls, as well identifying certain material properties targets. We simulate RF sources receivers placed outside room generate observation data with randomly inside room. experiment two types neural networks use an 80-20 train-test split for classification.
In recent times, there has been a growing interest in measuring atmospheric turbulence over long paths. Irradiance based techniques such as scintillometry, suffer from saturation and hence commercial scintillometers have limited operational ranges. the present work, method to estimate path weighted C<sub>n</sub><sup>2</sup> induced random, differential motion of extended features time-lapse imagery distant target is presented. Since phase based, it can be applied longer The an added...
Abstract We present 4k video and whole transcriptome data for seven deep-sea invertebrate animals collected in the Eastern Pacific Ocean during a research expedition onboard Schmidt Institute’s R/V Falkor August of 2021. The include one jellyfish ( Atolla sp.), three siphonophores Apolemia sp., Praya Halistemma larvacean Bathochordaeus mcnutti ), tunicate Pyrosomatidae ctenophore Lampocteis sp.). Four were sequenced with long-read RNA sequencing technology, such that reads themselves define...