Modeling and optimal design of optical remote sensing payloads

Richard W. Tarde; Eric Donley; James L. Carr

doi:10.1117/12.735424

27 September 2007 Modeling and optimal design of optical remote sensing payloads

Richard W. Tarde, Eric Donley, James L. Carr

Proceedings Volume 6677, Earth Observing Systems XII; 66771G (2007) https://doi.org/10.1117/12.735424
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Traditionally, optical remote sensing payload design satisfies highly defined specifications arrived at by consensus of the scientific constituency. Designs are constrained by required performance such as resolution, Modulation Transfer Function (MTF), and Signal-to-Noise-Ratio (SNR). Payload designers satisfy the specification by performing hardware and cost trades. This process may lack continuous feedback between the performance of the scientific algorithms and the payload design, potentially missing optimal design points. The traditional method has produced separate and specific designs for imagery (over-sampling ratio Q > 0.8) vs. radiometry (Q < 0.8). Radiometers are scientifically precise, with highly accurate scene collection over a tightly defined pixel size exclusive of other scene points, often across several spectral channels. Imagers reveal sharper features, but have considerable "bleeding" of scene radiance into adjacent pixels, causing errors in application of multispectral scientific algorithms. Recently, we created end-to-end models that optimize end scientific data products by considering the payload design and data processing algorithms together, rather than simply satisfying a payload specification. In this process, we uncovered optimal payload design points and insights. We explore end-to-end modeling results that show an optimal single converged payload design, and data processing algorithms that produce simultaneous radiometer and imager products. We show how payload design choices for Instantaneous Field of View (IFOV) and Ground Sampling Distance (GSD) maximize SNR for multiple data products, resulting in an optimized design that increases flexibility of space assets. This approach is beneficial as we move towards distributed and fused image systems.

Citation Download Citation

Richard W. Tarde, Eric Donley, and James L. Carr "Modeling and optimal design of optical remote sensing payloads", Proc. SPIE 6677, Earth Observing Systems XII, 66771G (27 September 2007); https://doi.org/10.1117/12.735424

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available