Abstract
Abstract. Multispectral images are the main data source of optical satellite remote sensing application. Consistent geometric accuracy is the basis of image registration and fusion. But the multispectral images usually collected by the nadir imaging camera are of weak geometric intersection, which will lead to the rank defect of the adjustment equation when performing block adjustment (BA) directly, making the solution unstable. Thus, a planar BA aided by additional digital surface model (DSM) which can overcome this weak geometry is often used to improve the geometric accuracy and consistency of regional planar images. However, the inevitable elevation error and the indispensable ground control points (GCPs) make the method limited in practical application. In this paper, a new method aiming to the BA of planer multispectral images of ZY-3 satellite without use of GCPs is presented. This method introduces the constraint of stereo images to assist the BA of planar images. By configuring appropriate weights of different observations, the integrated optimization of positioning models of planar and stereo images can be achieved together. The effectiveness of the method was verified by the planar multispectral images and stereo three linear camera (TLC) images collected by ZY-3 satellite. The satisfactory results indicated the rationality and effectiveness of the presented method.
Highlights
The multispectral images of ZY-3 satellite contain four spectral bands and have a spatial resolution of 5.8 m (Li, 2012)
We present a new block adjustment (BA) method for planar multispectral images without use of ground control points (GCPs), inspired by the fact that a desirable stereo observing model with sufficient intersection can be derived from stereo satellite images
The bundle BA method is used to perform the mixed adjustment of multispectral planar images and three linear camera (TLC) stereo images, and the rational function model (RFM) model of single image was used as the basic adjustment unit (Tao, et al, 2001)
Summary
The multispectral images of ZY-3 satellite contain four spectral bands (red, green, blue, and near-infrared) and have a spatial resolution of 5.8 m (Li, 2012). ZY-3 satellite has been calibrated in orbit, the attitude error and some random influence on the satellite still cause significant accuracy differences between multispectral images and between multispectral and panchromatic images, attenuating the reliability in subsequent applications Aiming to eliminating this accuracy differences and ensuring the geometric consistency among the ZY-3 images, we developed an effective block adjustment (BA) method to improve the geometric accuracies of multispectral and panchromatic images together. High resolution nadir images and multispectral images usually have such geometric characteristics, and these images with high spatial resolution and spectral resolution are the main data sources for the follow-up satellite remote sensing applications The latter planar block adjustment is always adopted for the geometric process of these planar images, in which an available digital surface model (DSM) is usually used as elevation constraint to overcome the weak intersection geometry, suppressing the instability in calculation. The elimination of DSM makes it suitable for the BA without the use of GCPs and more practical
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