基于面特征的遥感图像几何校正模型

传统的遥感图像几何校正模型是基于控制点建立的。然而在很多情况下，图像的面特征比点特征更易自动提取。提出面特征之间距离的定义及算法，在此基础上利用控制面建立误差方程，实现基于面特征的几何校正。以Land-sat、ALOS和Quickbird影像为例进行了试验，结果表明，本文的方法可用于不同的卫星影像和成像模型。当控制资料不合粗差时，利用控制面和控制点的校正精度基本一致，可达到1个像素以内；当控制资料含有粗差时，基于面特征的几何校正模型比基于点特征的几何校正模型具有更强的容错能力。...

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Bibliographic Details
Published in	测绘学报 Vol. 42; no. 4; pp. 540 - 545
Main Author	龙腾飞焦伟利王威
Format	Journal Article
Language	Chinese
Published	中国科学院遥感与数字地球研究所,北京100094 2013 中国科学院大学北京100049%中国科学院遥感与数字地球研究所,北京,100094
Subjects	几何校正模型距离遥感图像面特征遥感图像 areal feature remotely sensed images distance geometric correction model 面特征几何校正模型距离
Online Access	Get full text
ISSN	1001-1595

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Summary:	传统的遥感图像几何校正模型是基于控制点建立的。然而在很多情况下，图像的面特征比点特征更易自动提取。提出面特征之间距离的定义及算法，在此基础上利用控制面建立误差方程，实现基于面特征的几何校正。以Land-sat、ALOS和Quickbird影像为例进行了试验，结果表明，本文的方法可用于不同的卫星影像和成像模型。当控制资料不合粗差时，利用控制面和控制点的校正精度基本一致，可达到1个像素以内；当控制资料含有粗差时，基于面特征的几何校正模型比基于点特征的几何校正模型具有更强的容错能力。
Bibliography:	LONG Tengfei, JIAO Weili, WANG Wei. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100094, China 2. University of Chinese cademy of Sciences, Beijing 100049, China 11-2089/P remotely sensed images geometric correction model areal feature distance Traditional remote sensing image geometric correction model is based on control points. However, the areal features in images can be easier extracted automatically than the point features in many cases. The definitions and algorithms of the distance between the area features and how to establish the error equation using ground control area are proposed, and geometric correction based on areal features is achieved. Landsat, ALOS and QuickBird images are used as examples for the test and the experimental results to show that the proposed method can be used for different satellite images and imaging models. The calibration accuracies in the test are basically the same, both are less than one pixel, when the control data does not contain
ISSN:	1001-1595