Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8
The velocity of an ice shelf is an important characteristic to understand its dynamics and interaction with the internal ice sheet. Therefore, we develop an improved multi-scale image matching method for producing a complete and accurate Amery ice shelf velocity field from Landsat 8 images. First, w...
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Online Access: | http://dx.doi.org/10.1080/22797254.2018.1556073 |
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doaj-5def4041a6ce4acaabee16323484b2ad2021-01-26T12:33:43ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542019-01-01521567210.1080/22797254.2018.15560731556073Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8Ze Yang0Zhizhong Kang1Xiao Cheng2Juntao Yang3China University of GeosciencesChina University of GeosciencesBeijing Normal UniversityChina University of GeosciencesThe velocity of an ice shelf is an important characteristic to understand its dynamics and interaction with the internal ice sheet. Therefore, we develop an improved multi-scale image matching method for producing a complete and accurate Amery ice shelf velocity field from Landsat 8 images. First, we investigate the relationship between the template size and the image entropy and propose an image entropy-based preliminary operation for distinguishing the high-contrast regions from the low-contrast regions prior to iteratively determining the optimum template size. Second, a Gaussian pyramid image-based hierarchical data structure is designed to support a coarse-to-fine image matching strategy.The image entropy-based matching method is applied on the top layer of the image pyramid to guarantee the matching results have optimal completeness and high accuracy. Finally, a postprocess procedure is performed to derive a complete and accurate Amery ice shelf velocity field. Experimental results demonstrate that the proposed method can significantly improve computational efficiency. Moreover, the proposed method provides more accurate and robust matching results than other existing methods, particularly over the low-contrast surfaces. Additionally, the derived velocity field also shows good consistency with the one acquired from MEaSUREs Annual Antarctic Ice Velocity Maps 2016–2017.http://dx.doi.org/10.1080/22797254.2018.1556073image entropymulti-scale image matchingnormalized cross-correlationamery ice shelf velocity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ze Yang Zhizhong Kang Xiao Cheng Juntao Yang |
spellingShingle |
Ze Yang Zhizhong Kang Xiao Cheng Juntao Yang Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8 European Journal of Remote Sensing image entropy multi-scale image matching normalized cross-correlation amery ice shelf velocity |
author_facet |
Ze Yang Zhizhong Kang Xiao Cheng Juntao Yang |
author_sort |
Ze Yang |
title |
Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8 |
title_short |
Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8 |
title_full |
Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8 |
title_fullStr |
Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8 |
title_full_unstemmed |
Improved multi-scale image matching approach for monitoring Amery ice shelf velocity using Landsat 8 |
title_sort |
improved multi-scale image matching approach for monitoring amery ice shelf velocity using landsat 8 |
publisher |
Taylor & Francis Group |
series |
European Journal of Remote Sensing |
issn |
2279-7254 |
publishDate |
2019-01-01 |
description |
The velocity of an ice shelf is an important characteristic to understand its dynamics and interaction with the internal ice sheet. Therefore, we develop an improved multi-scale image matching method for producing a complete and accurate Amery ice shelf velocity field from Landsat 8 images. First, we investigate the relationship between the template size and the image entropy and propose an image entropy-based preliminary operation for distinguishing the high-contrast regions from the low-contrast regions prior to iteratively determining the optimum template size. Second, a Gaussian pyramid image-based hierarchical data structure is designed to support a coarse-to-fine image matching strategy.The image entropy-based matching method is applied on the top layer of the image pyramid to guarantee the matching results have optimal completeness and high accuracy. Finally, a postprocess procedure is performed to derive a complete and accurate Amery ice shelf velocity field. Experimental results demonstrate that the proposed method can significantly improve computational efficiency. Moreover, the proposed method provides more accurate and robust matching results than other existing methods, particularly over the low-contrast surfaces. Additionally, the derived velocity field also shows good consistency with the one acquired from MEaSUREs Annual Antarctic Ice Velocity Maps 2016–2017. |
topic |
image entropy multi-scale image matching normalized cross-correlation amery ice shelf velocity |
url |
http://dx.doi.org/10.1080/22797254.2018.1556073 |
work_keys_str_mv |
AT zeyang improvedmultiscaleimagematchingapproachformonitoringameryiceshelfvelocityusinglandsat8 AT zhizhongkang improvedmultiscaleimagematchingapproachformonitoringameryiceshelfvelocityusinglandsat8 AT xiaocheng improvedmultiscaleimagematchingapproachformonitoringameryiceshelfvelocityusinglandsat8 AT juntaoyang improvedmultiscaleimagematchingapproachformonitoringameryiceshelfvelocityusinglandsat8 |
_version_ |
1724322591902007296 |