Image subpixel estimation by evaluation of ON satellite sensor model

A. Orun
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引用次数: 3

Abstract

Mis-registration of ground control points caused by mixed pixels are the most significant error sources in remote sensing. Even though the effects of these errors on land-cover application have been so far widely investigated, no sufficient attention has been given to their impacts on satellite sensor geometry. In this paper the effect of such errors on sensor model accuracy and the possibility of using orbital epipolarity constrains of Orun & Natarajan (ON) satellite sensor model to avoid such errors are investigated.
基于ON卫星传感器模型评估的图像亚像素估计
混合像元引起的地面控制点配准误差是遥感中最重要的误差源。尽管迄今为止已广泛研究了这些误差对土地覆盖应用的影响,但对它们对卫星传感器几何形状的影响却没有给予足够的重视。本文研究了这种误差对传感器模型精度的影响,以及利用Orun & Natarajan (on)卫星传感器模型的轨道极极约束来避免这种误差的可能性。
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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