title: An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data.
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.
authors.affiliation: College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China. liusjtj@tongji.edu.cn.|Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai 200092, China. liusjtj@tongji.edu.cn.
authors.forename: Shijie
authors.initials: S
authors.lastname: Liu
authors.affiliation: College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China. 2009hello@tongji.edu.cn.
authors.forename: Yi
authors.initials: Y
authors.lastname: Lv
authors.affiliation: College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China. xhtong@tongji.edu.cn.|Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai 200092, China. xhtong@tongji.edu.cn.
authors.forename: Xiaohua
authors.initials: X
authors.lastname: Tong
authors.affiliation: College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China. huanxie@tongji.edu.cn.|Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai 200092, China. huanxie@tongji.edu.cn.
authors.forename: Huan
authors.initials: H
authors.lastname: Xie
authors.affiliation: College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China. 10junliurs@tongji.edu.cn.|Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai 200092, China. 10junliurs@tongji.edu.cn.
authors.forename: Jun
authors.initials: J
authors.lastname: Liu
authors.affiliation: College of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China. 103495chen@tongji.edu.cn.|Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai 200092, China. 103495chen@tongji.edu.cn.
authors.forename: Lei
authors.initials: L
authors.lastname: Chen
keywords: ASTER; Antarctica; ICESat; ZY-3; feature line; feature point; registration