Title :
The Design and Analysis Based on NIIRS for Remote Sensing Systems
Author_Institution :
Dept. of Basic Courses Eng., Univ. of Armed Police Force, Xi`an, China
Abstract :
Remote sensing image quality 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 NIIRS and optical Q are presented, and each part physics means in model and formula are illustrated separately, then three influencing factor of sampling rate, pixels of smear, and SNR for the image quality are specific analyzed by simulating and comparing, finally, the optimum design of remote sensors are discussed, and the method to improve the image quality scale is posed for remote sensing systems. Comparisons with preliminary calculation results show that image quality scale of remote sensing systems can be improved by increasing along-scan sampling although more validation experiments are needed.
Keywords :
geophysical image processing; remote sensing; NIIRS; National Imagery Interpretability Rating Scale; along-scan sampling; ground sampled distance; image quality scale; modulation transfer function; optical Q; remote sensing image quality; remote sensing systems; remote sensor optimum design; sampling rate; signal-to-noise ratio; smear pixels; system design parameters; Image quality; Optical diffraction; Optical imaging; Optical sensors; Remote sensing; Signal to noise ratio;
Conference_Titel :
Photonics and Optoelectronics (SOPO), 2012 Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0909-8
DOI :
10.1109/SOPO.2012.6270433
