The Design and Analysis Based on NIIRS for Remote Sensing Systems

Honggang Bai
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引用次数: 1

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.
基于NIIRS的遥感系统设计与分析
遥感图像质量受系统设计参数的影响,如调制传递函数(MTF)、信噪比(SNR)、地采样距离(GSD)等。本文提出了近红外光谱(NIIRS)和光学Q的两个概念,并分别说明了模型和公式中各部分的物理含义,然后通过仿真比较,具体分析了采样率、涂片像元和信噪比三个因素对图像质量的影响,最后讨论了遥感器的优化设计,提出了提高遥感系统图像质量尺度的方法。与初步计算结果的比较表明,增加沿扫描采样可以提高遥感系统的图像质量尺度,但还需要进行更多的验证实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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