Review article: Geometric processing of remote sensing images: models, algorithms and methods

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Review article: Geometric processing of remote sensing images: models, algorithms and methods

机译：评论文章：遥感图像的几何处理：模型，算法和方法

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The geometric processing of remote sensing images becomes a key issue in multi-source data integration, management and analysis for many geomatic applications. This paper first reviews the source of geometric distortions, compares the different mathematical models being currently used for geometric distortion modelling, details the algorithms, methods and processing steps and finally tracks the error propagation from the input to the final output data.

机译：遥感图像的几何处理已成为许多地理应用的多源数据集成，管理和分析中的关键问题。本文首先回顾了几何失真的来源，比较了当前用于几何失真建模的不同数学模型，详细介绍了算法，方法和处理步骤，最后跟踪了从输入到最终输出数据的误差传播。

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来源
《International journal of remote sensing》 |2004年第10期|p.1893-1924|共32页
作者
T. TOUTIN;
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作者单位

Natural Resources Canada, Canada Centre for Remote Sensing, 588 Booth Street, Ottawa, Ontario, K1A 0Y7, Canada;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类遥感技术;
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机译：评论文章：遥感图像的几何处理：模型，算法和方法

Review article: Geometric processing of remote sensing images: models, algorithms and methods

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