# Inverse Synthetic Aperture Fourier Ptychography

arXiv: https://arxiv.org/abs/2507.03733 · HTML: https://mlsanity.com/paper/2507.03733/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 7 of its 47 references that are in the map.
- First posted on arXiv 4 Jul 2025.

## Builds on (most cited first, 7 of 7)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [Experimental robustness of Fourier Ptychography phase retrieval algorithms](https://mlsanity.com/paper/1511.02986/) (2015)
- [Efficient illumination angle self-calibration in Fourier ptychography](https://mlsanity.com/paper/1804.03299/) (2018)
- [Predicting ptychography probe positions using single-shot phase retrieval neural network](https://mlsanity.com/paper/2405.20910/) (2024)
- [Coherent synthetic aperture imaging for visible remote sensing via reflective Fourier ptychography](https://mlsanity.com/paper/2008.00388/) (2020)
- [Snapshot Ptychography on Array cameras](https://mlsanity.com/paper/2111.03517/) (2021)
- [Computational Imaging Through Atmospheric Turbulence](https://mlsanity.com/paper/2411.00338/) (2024)

## Abstract (arXiv)

Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allows one to reconstruct a high-resolution, wide field-of-view image by computationally integrating a diverse collection of low-resolution, far-field measurements. Typically, FP measurement diversity is introduced by changing the angle of the illumination or the position of the camera; either approach results in sampling different portions of the target's spatial frequency content, but both approaches introduce substantial costs and complexity to the acquisition process. In this work, we introduce Inverse Synthetic Aperture Fourier Ptychography, a novel approach to FP that foregoes changing the illumination angle or camera position and instead generates measurement diversity through target motion. Critically, we also introduce a novel learning-based method for estimating k-space coordinates from dual plane intensity measurements, thereby enabling synthetic aperture imaging without knowing the rotation of the target. We experimentally validate our method in simulation and on a tabletop optical system.