SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA
Under the background of the increasingly unified management of natural resources, remote sensing big-data will become the main data source to support a number of major projects. How to sample the natural resources results efficiently and reliably in the process of quality evaluation is always a rese...
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2020-02-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/11/2020/isprs-archives-XLII-3-W10-11-2020.pdf |
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doaj-1e52a892982a45fab822442576797dce2020-11-25T01:48:02ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-02-01XLII-3-W10111610.5194/isprs-archives-XLII-3-W10-11-2020SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATAY. Dang0J. X. Zhang1P. C. Zhang2F. J. Luo3J. Bai4National Quality Inspection and Testing Centre for Surveying and Mapping Products, P. R. ChinaNational Quality Inspection and Testing Centre for Surveying and Mapping Products, P. R. ChinaNational Quality Inspection and Testing Centre for Surveying and Mapping Products, P. R. ChinaNational Quality Inspection and Testing Centre for Surveying and Mapping Products, P. R. ChinaNational Quality Inspection and Testing Centre for Surveying and Mapping Products, P. R. ChinaUnder the background of the increasingly unified management of natural resources, remote sensing big-data will become the main data source to support a number of major projects. How to sample the natural resources results efficiently and reliably in the process of quality evaluation is always a research hotspot when it comes to the natural resources results involving remote sensing big-data. A sequential quality evaluation model based on root mean square error (RMSprop) optimization algorithm is constructed by theoretical analysis with an numerical experiments to validate the effectiveness of this method.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/11/2020/isprs-archives-XLII-3-W10-11-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Y. Dang J. X. Zhang P. C. Zhang F. J. Luo J. Bai |
spellingShingle |
Y. Dang J. X. Zhang P. C. Zhang F. J. Luo J. Bai SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
Y. Dang J. X. Zhang P. C. Zhang F. J. Luo J. Bai |
author_sort |
Y. Dang |
title |
SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA |
title_short |
SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA |
title_full |
SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA |
title_fullStr |
SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA |
title_full_unstemmed |
SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA |
title_sort |
sampling method analysis and quality evaluation strategy for remote sensing big data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2020-02-01 |
description |
Under the background of the increasingly unified management of natural resources, remote sensing big-data will become the main data source to support a number of major projects. How to sample the natural resources results efficiently and reliably in the process of quality evaluation is always a research hotspot when it comes to the natural resources results involving remote sensing big-data. A sequential quality evaluation model based on root mean square error (RMSprop) optimization algorithm is constructed by theoretical analysis with an numerical experiments to validate the effectiveness of this method. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/11/2020/isprs-archives-XLII-3-W10-11-2020.pdf |
work_keys_str_mv |
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_version_ |
1725013353694232576 |