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Image Quality of Optical Remote Sensing Data

机译:光学遥感数据的图像质量

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摘要

Photogrammetry and remote sensing (RS) provide procedures for deriving geometric, radiometric and thematic information from image data. A variety of aircraft and space-borne sensors are available to capture image data. Different standards and specifications of quality assessment for optical remote sensing data are available. Due to the possibilities of absolute geometric and radiometric calibration digital sensors provide new promising opportunities to create value added products like digital elevation models, land-use maps etc. Such cameras combine the high geometric quality with the radiometric standards of earth observation systems. The determination of image quality of remote sensing data can be distinguished in (spectral) radiometric and geometric aspects. Standards contains different metrics for accuracy issues (spectral, radiometric and geometric accuracy) and for performance parameters like SNR, MTF. Image artefacts (caused e.g. by compression) are an additional important topic. The paper gives an overview of the current debate and the possibility of standardization.
机译:摄影测量和遥感(RS)提供了从图像数据中导出几何,辐射和主题信息的过程。各种飞机和星载传感器均可用于捕获图像数据。提供了光学遥感数据质量评估的不同标准和规范。由于绝对几何和辐射定标的可能性,数字传感器为创建增值产品(如数字高程模型,土地使用图等)提供了新的有前途的机会。此类摄像机将高几何质量与地球观测系统的辐射标准结合在一起。遥感数据图像质量的确定可以在(光谱)辐射和几何方面进行区分。标准针对精度问题(光谱,辐射度和几何精度)以及诸如SNR,MTF之类的性能参数包含不同的度量标准。图像伪像(例如通过压缩引起)是另一个重要的主题。本文概述了当前的争论和标准化的可能性。

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