Remote sensing and vision problems under adverse imaging conditions

Zhu Li

doi:10.1117/12.3030944

8 June 2024 Remote sensing and vision problems under adverse imaging conditions

Zhu Li

Proceedings Volume 13039, Automatic Target Recognition XXXIV; 130390G (2024) https://doi.org/10.1117/12.3030944
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Remotes sensing and vision problems like object detection and recognition from various active and passive sensors are of great value to many DoD use cases. Usually due to sensor or communication link limitations the images received are of low resolution, quality and have compression artifacts. To combat this we developed a new direct vision task feature pyramid recovery with a joint frequency and pixel domain neural learning approach. It had many successes in problems like ATR from low resolution SAR and EO images, joint delburring and target detection, as well as the very low bit rate complex SAR image compression for phase recovery.

Conference Presentation

Citation Download Citation

Zhu Li "Remote sensing and vision problems under adverse imaging conditions", Proc. SPIE 13039, Automatic Target Recognition XXXIV, 130390G (8 June 2024); https://doi.org/10.1117/12.3030944

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