Focal plane resolution and overlapped array time delay and integrate imaging

Thomas J. Grycewicz; Stephen A. Cota; Terrence S. Lomheim; Linda S. Kalman

doi:10.1117/1.3355378

1 June 2010 Focal plane resolution and overlapped array time delay and integrate imaging

Thomas J. Grycewicz, Stephen A. Cota, Terrence S. Lomheim, Linda S. Kalman

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 4, Issue 1, 043537 (June 2010). https://doi.org/10.1117/1.3355378

Abstract

In this paper we model sub-pixel image registration for a generic earth-observing satellite system with a focal plane using two offset time delay and integrate (TDI) arrays in the focal plane to improve the achievable ground resolution over the resolution achievable with a single array. The modeling process starts with a high-resolution image as ground truth. The Parameterized Image Chain Analysis & Simulation Software (PICASSO) modeling tool is used to degrade the images to match the optical transfer function, sampling, and noise characteristics of the target system. The model outputs a pair of images with a separation close to the nominal half-pixel separation between the overlapped arrays. A registration estimation algorithm is used to measure the offset for image reconstruction. The two images are aligned and summed on a grid with twice the capture resolution. We compare the resolution in images between the inputs before overlap, the reconstructed image, and a simulation for the image which would have been captured on a focal plane with twice the resolution. We find the performance to always be better than the lower resolution baseline, and to approach the performance of the high-resolution array in the ideal case. We show that the overlapped array imager significantly outperforms both the conventional high- and low-resolution imagers in conditions with high image smear.

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Thomas J. Grycewicz, Stephen A. Cota, Terrence S. Lomheim, and Linda S. Kalman "Focal plane resolution and overlapped array time delay and integrate imaging," Journal of Applied Remote Sensing 4(1), 043537 (1 June 2010). https://doi.org/10.1117/1.3355378

Published: 1 June 2010

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