Abstract
High precision geometric rectification of High Resolution Satellite Imagery (HRSI) is the basis of digital mapping and Three-Dimensional (3D) modeling. Taking advantage of line features as basic geometric control conditions instead of control points, the Line-Based Transformation Model (LBTM) provides a practical and efficient way of image rectification. It is competent to build the mathematical relationship between image space and the corresponding object space accurately, while it reduces the workloads of ground control and feature recognition dramatically. Based on generalization and the analysis of existing LBTMs, a novel rigorous LBTM is proposed in this paper, which can further eliminate the geometric deformation caused by sensor inclination and terrain variation. This improved nonlinear LBTM is constructed based on a generalized point strategy and resolved by least squares overall adjustment. Geo-positioning accuracy experiments with IKONOS, GeoEye-1 and ZiYuan-3 satellite imagery are performed to compare rigorous LBTM with other relevant line-based and point-based transformation models. Both theoretic analysis and experimental results demonstrate that the rigorous LBTM is more accurate and reliable without adding extra ground control. The geo-positioning accuracy of satellite imagery rectified by rigorous LBTM can reach about one pixel with eight control lines and can be further improved by optimizing the horizontal and vertical distribution of control lines.
Highlights
Nowadays, with the successful launch of many high resolution land observation satellites, such as Pleiades-II, WorldView-3, Jilin-1, etc., higher requirements for image processing technology have been put forward
A rigorous Line-Based Transformation Model (LBTM) is proposed in this study for high precision geometric rectification of High Resolution Satellite Imagery (HRSI) based on line features
A novel rigorous line-based transformation model has been proposed for high precision geometric rectification of high resolution satellite imagery
Summary
With the successful launch of many high resolution land observation satellites, such as Pleiades-II, WorldView-3, Jilin-1, etc., higher requirements for image processing technology have been put forward. High Resolution Satellite Imagery (HRSIs) has high spatial, radiometric and temporal resolution. It can supply accurate and abundant information of the Earth’s surface [1,2] and has been an important data source for accurate mapping at large scales (up to 1:10,000) and map updating (up to 1:5000) [3]. The geometric rectification technology of HRSIs needs improvement to fit more various and higher precision demands in actual applications. The imaging geometric models for geometric rectification of HRSIs are mainly divided into two categories: rigorous sensor models and non-rigorous mathematical models.
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