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

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 present...

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Published in:Sensors
Main Authors: Liu, Shijie, Lv, Yi, Tong, Xiaohua, Xie, Huan, Liu, Jun, Chen, Lei
Format: Text
Language:English
Published: MDPI 2016
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190989/
http://www.ncbi.nlm.nih.gov/pubmed/27898048
https://doi.org/10.3390/s16122008
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5190989 2023-05-15T13:31:05+02:00 An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data Liu, Shijie Lv, Yi Tong, Xiaohua Xie, Huan Liu, Jun Chen, Lei 2016-11-27 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190989/ http://www.ncbi.nlm.nih.gov/pubmed/27898048 https://doi.org/10.3390/s16122008 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190989/ http://www.ncbi.nlm.nih.gov/pubmed/27898048 http://dx.doi.org/10.3390/s16122008 © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). CC-BY Article Text 2016 ftpubmed https://doi.org/10.3390/s16122008 2017-01-08T01:28:47Z 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. Text Antarc* Antarctic PubMed Central (PMC) Antarctic Sensors 16 12 2008
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Liu, Shijie
Lv, Yi
Tong, Xiaohua
Xie, Huan
Liu, Jun
Chen, Lei
An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data
topic_facet Article
description 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.
format Text
author Liu, Shijie
Lv, Yi
Tong, Xiaohua
Xie, Huan
Liu, Jun
Chen, Lei
author_facet Liu, Shijie
Lv, Yi
Tong, Xiaohua
Xie, Huan
Liu, Jun
Chen, Lei
author_sort Liu, Shijie
title An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data
title_short An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data
title_full An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data
title_fullStr An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data
title_full_unstemmed An Alternative Approach for Registration of High-Resolution Satellite Optical Imagery and ICESat Laser Altimetry Data
title_sort alternative approach for registration of high-resolution satellite optical imagery and icesat laser altimetry data
publisher MDPI
publishDate 2016
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190989/
http://www.ncbi.nlm.nih.gov/pubmed/27898048
https://doi.org/10.3390/s16122008
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190989/
http://www.ncbi.nlm.nih.gov/pubmed/27898048
http://dx.doi.org/10.3390/s16122008
op_rights © 2016 by the authors; licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
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