光电前沿PhotonBrief · LiGRP
← 文献库 / Library

REVIEW

Improving Object Imaging With Sea Glinted Background Using Polarization Method: Analysis and Operator Survey

Roy Avrahamy, Benny Milgrom, Moshe Zohar, M. Auslender, S. Hava

IEEE Transactions on Geoscience and Remote Sensing · 2019

Research context

Research on electrical energy conversion, storage and generation dates back to the nineteenth century, but only in recent years have scientists begun to investigate the impact of electron spin on these processes. The ability to control and manipulate this intrinsically quantum property of matter opens new approaches to addressing energy science challenges. The chiral-induced spin selectivity (CISS) effect is central to this effort, as it enables control over the transport and generation of both pure spin currents and spin-polarized charge currents. In this Review, we first introduce design strategies for implementing CISS in materials and then describe examples of how CISS has been used to improve electrocatalysis and spintronics. We conclude with a forward-looking perspective on the next steps for leveraging CISS in energy science.

Keywords: Computer science, Computer vision, Artificial intelligence, Polarizer, Remote sensing, Pixel, Histogram, Image processing, Object detection, Optics, Geology, Segmentation, Physics, Image (mathematics), Birefringence

Source & review

Bibliographic record reviewed for relevance and publication quality. Full-text findings have not been extracted; consult the original publication for methods and results.

OpenAlex cited-by 12; topical title/abstract and venue audit passed.

12 citations · OpenAlex · observed 2026-09-08

Metadata: OpenAlex · source record ↗

Cite / 引用

Roy Avrahamy, Benny Milgrom, Moshe Zohar, M. Auslender, S. Hava. Improving Object Imaging With Sea Glinted Background Using Polarization Method: Analysis and Operator Survey. IEEE Transactions on Geoscience and Remote Sensing (2019). https://doi.org/10.1109/tgrs.2019.2922827

分享:本论文的永久链接