An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data.

Shijie Liu,Jun Liu,Lei Chen,Xiaohua Tong,Yi Lv,Huan Xie

doi:10.3390/s16122008

Abstract

Satellite optical images and altimetry data are two major data sources used in Antarctic research. The integration use of these two datasets is expected to provide more accurate and higher quality products, during which data registration is the first issue that needs to be solved. This paper presents an alternative approach for the registration of high-resolution satellite optical images and ICESat (Ice, Cloud, and land Elevation Satellite) laser altimetry data. Due to the sparse distribution characteristic of the ICESat laser point data, it is difficult and even impossible to find same-type conjugate features between ICESat data and satellite optical images. The method is implemented in a direct way to correct the point-to-line inconsistency in image space through 2D transformation between the projected terrain feature points and the corresponding 2D image lines, which is simpler than discrepancy correction in object space that requires stereo images for 3D model construction, and easier than the indirect way of image orientation correction via photogrammetric bundle adjustment. The correction parameters are further incorporated into imaging model through RPCs (Rational Polynomial Coefficients) generation/regeneration for the convenience of photogrammetric applications. The experimental results by using the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) images and ZY-3 (Ziyuan-3 satellite) images for registration with ICESat data showed that sub-pixel level registration accuracies were achieved after registration, which have validated the feasibility and effectiveness of the presented approach.

Highlights

Remote sensing observation of the Antarctic ice sheets, compared to traditional in situ measurements, is an important and relatively efficient method to acquire the spatial information of the ice-sheet topography as well as its change, and provides essential information for the study of global climate change and sea level rise [1,2,3,4]
Different scenarios of scenarios of parameterization were tested to compare the effectiveness of the four transformation parameterization were tested to compare the effectiveness of the four transformation models indicated models indicated in Section 2.2 and the results are listed in Table 1, from which we can see that in Section 2.2 and the results are listed in Table 1, from which we can see that before registration, before registration, the average discrepancies are more than four pixels between the ASTER images theand average discrepancies are more than four pixels between images and thethe the ICESat data
Due to the difference in platform and systematic errors inherent in sensor calibration and orientation observations, inconsistency exists errors between two different typescalibration of datasets, Due to the difference geometric in platform and systematic inherent in sensor and orientation observations, geometric inconsistency exists between two different types of datasets, even between datasets obtained at different times from the same sensor, for which data registration orientation observations, geometric inconsistency exists between two different types of datasets, even between datasets obtained at different times from the same sensor, for which data registration

Summary

Introduction

Remote sensing observation of the Antarctic ice sheets, compared to traditional in situ measurements, is an important and relatively efficient method to acquire the spatial information of the ice-sheet topography as well as its change, and provides essential information for the study of global climate change and sea level rise [1,2,3,4]. The radar altimetry data has accuracy challenge over rough topographic areas and small mountain glaciers or ice caps [5]. Laser altimetry can provide higher accuracy observation, e.g., the norminal accuracy of the ICESat (Ice, Cloud, and land Elevation Satellite) altimetry data is as high as 0.15 m [4]. The sparse distribution of the ICESat points leaves quite a large

Methods

Results

Discussion

Conclusion