Abstract

Compensating for distortions in pushbroom satellite imagery has a bearing on subsequent earth observation applications. Traditional distortion correction methods usually depend on ground control points (GCPs) acquired from a high-accuracy geometric calibration field (GCF). Due to the high construction costs and site constraints of GCF, it is difficult to perform distortion detection regularly. To solve this problem, distortion detection methods without using GCPs have been proposed, but their application is restricted by rigorous conditions, such as demanding a large amount of calculation or good satellite agility which are not met by most remote sensing satellites. This paper proposes a novel method to correct interior distortions of satellite imagery independent of GCPs. First, a classic geometric calibration method for pushbroom satellite is built and at least three images with overlapping areas are collected, then the forward intersection residual between corresponding points in the images are used to calculate interior distortions. Experiments using the Gaofen-1 (GF-1) wide-field view-1 (WFV-1) sensor demonstrate that the proposed method can increase the level of orientation accuracy from several pixels to within one pixel, thereby almost eliminating interior distortions. Compared with the orientation accuracy by classic GCF method, there exists maximum difference of approximately 0.4 pixel, and the reasons for this discrepancy are analyzed. Generally, this method could be a supplementary method to conventional methods to detect and correct the interior distortion.

Highlights

  • Interior distortions of pushbroom satellite images are mostly caused by camera lens aberrations, and results in nonlinear geo-positioning errors that are difficult to eliminate in practical applications with few ground control points (GCPs)

  • At least three images with overlapping areas are needed, and corresponding points are acquired captured by the GF-1 wide-field view-1 (WFV-1) camera

  • Images captured by Gaofen-1 (GF-1) wide field view-1 (WFV-1) camera were collected as experimental data

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Summary

Introduction

Interior distortions of pushbroom satellite images are mostly caused by camera lens aberrations, and results in nonlinear geo-positioning errors that are difficult to eliminate in practical applications with few ground control points (GCPs). Obtaining higher geo-positioning accuracy through the detection and compensation of interior distortions is crucial for improving the performance and potential of satellite images. This has a bearing on subsequent earth observation applications, such as ortho-rectification, digital elevation model (DEM) generation [1,2], or surface change detection. It is critical to detect and correct interior distortion of satellite images. Several methods have been proposed to correct interior distortions in pushbroom satellite images. GCF is composed of a sub-meter or sub-decimeter digital orthophoto map (DOM) and DEM model that are Remote Sens. 2018, 10, 98; doi:10.3390/rs10010098 www.mdpi.com/journal/remotesensing

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