Paper
23 November 2011 Analysis on the interaction between image quality and optical Q based on NIIRS for remote sensing systems
Honggang Bai
Author Affiliations +
Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80060H (2011) https://doi.org/10.1117/12.899169
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
The relationship between image quality and optical Q is sensitive to the system design parameters such as modulation transfer function (MTF), signal-to-noise ratio (SNR), and ground sampled distance (GSD). In this paper, two concepts about Q and NIIRS for remote sensing imager quality analysis and design are presented, and each part physics mean in model and formula are illustrated separately, the influence of Q on the image quality of remote sensing system is specific analyzed, the system performance of Q = 1 and Q = 2 of remote sensing base on NIIRS are compared, the interaction between remote sensing image quality and Q is obtained based on NIIRS by image simulations and comparing with each other simulation results, the optimum design of remote sensors are mainly discussed. Finally, a method to improve the image quality scale is posed for remote sensing systems, the image quality scale of remote sensing systems can be improved by increasing along-scan sampling. Comparisons with preliminary results show that the interaction between image quality and Q is very sensitive to the system design parameters although more validation experiments are needed.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Honggang Bai "Analysis on the interaction between image quality and optical Q based on NIIRS for remote sensing systems", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060H (23 November 2011); https://doi.org/10.1117/12.899169
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KEYWORDS
Image quality

Remote sensing

Signal to noise ratio

Sensing systems

Modulation transfer functions

Sensors

Imaging systems

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