Advanced search
Publication Cover
International Journal of Remote Sensing Volume 42, 2021 - Issue 6
Submit an article Journal homepage
163
Views
1
CrossRef citations to date
0
Altmetric
Research Article

The influence of geometric correction on the accuracy of the extraction of the remote sensing reflectance of water

Aimin LiSchool of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9766-2702View further author information
ORCID Icon &
Guangping XiaSchool of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, ChinaView further author information
Pages 2280-2291 | Received 13 Aug 2020, Accepted 02 Nov 2020, Published online: 30 Dec 2020

References

  • Chen, J., J. Fu, and J. H. Sun. 2011. “Influences of Geometric Correction on the Accuracy of Dark Pixel Atmospheric Correctional-gorithm and Water Leaving Irradiance Retrieval: A Case Study of Lake Taihu.” Journal of Lake Sciences 23 (1): 89–94. doi:10.18307/2011.0114.
  • Gai, L. Y., Z. J. Liu, and J. X. Zhang. 2010. “Determination of Chlorophyll Concentration in Three Gorges Dam Using CHRIS/PROBA Image Data.” Science of Surveying and Mapping 35 (4): 28–30+22.
  • Itten, K. I., and P. Meyer. 1993. “Geometric and Radiometric Correction of TM Data of Mountainous Forested Areas.” IEEE Transaction on Geoscience and Remote Sensing 31 (4): 764–770. doi:10.1109/36.239898.
  • Kharbouche, S., J. P. Muller, C. K. Gatebe, T. Scanlon, and A. C. Banks. 2017. “Assessment of Satellite-derived Surface Reflectances by NASA’s CAR Airborne Radiometer over Railroad Valley Playa.” Remote Sensing 9 (6): 562. doi:10.3390/rs9060562.
  • Kim, H. G., J. H. Son, and T. Kim. 2018. “Geometric Correction for the Geostationary Ocean Color Imager from a Combination of Shoreline Matching and Frequency Matching.” Sensors 18 (11): 3599. doi:10.3390/s18113599.
  • Marsetic, A., and P. Pehani. 2019. “Towards Sub-Pixel Automatic Geometric Corrections of Very-High Resolution Panchromatic Satellite Data of Urban Areas.” Remote Sensing 11 (9): 1097. doi:10.3390/rs11091097.
  • Wu, Y. B., S. P. Peng, M. Huang, and G. M. Wu. 2007. “Quantitative Analysis of Water Depth in Huainan Ponding Subsidence Based on Remote Sensing.” Journal of China University of Mining & Technology 36 (4): 537–541+553.
  • Yuan, J. G., Z. Niu, and X. P. Wang. 2009. “Atmospheric Correction of Hyperion Hyperspectral Image Based on FLAASH.” Spectroscopy and Spectral Analysis 29 (5): 1181–1185.
  • Zhang, F. C., Z. Wang, X. H. Zhao, and X. B. Shen. 2004. “A Data Parallel Algorithm on Geometric Correction of Remote-sensing Satellite Images.” Journal of Computer Research and Development 41 (7): 1200–1206.
  • Zhang, Y. L., M. L. Liu, B. Q. Qin, H. J. Woerd, J. S. Li, and Y. L. Li. 2009. “Modeling Remote-sensing Reflectance and Retrieving Chlorophyll-a Concentration in Extremely Turbid Case-2 Waters (Lake Taihu, China).” Geoscience and Remote Sensing 47: 1937–1948. doi:10.1109/TGRS.2008.2011892.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.