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Content Provider | IET Digital Library |
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Author | Rangzan, Kazem Kabolizadeh, Mostafa Karimi, Danya |
Abstract | This study proposed methods based on Sentinel-2 and Landsat-8 cross-fusion for improving water quality mapping (WQM). Therefore, four traditional fusion methods including intensity–hue–saturation, Gram–Schmidt transform, wavelet transform and Brovey transform and different scenarios of cross-fusion have been implemented. The proposed cross-fusion methods highly improved the correlation coefficient (CR) between the images and the water quality parameter (WQP). Considering the higher CR values, the created WQP maps showed very good accuracy, in which the root-mean-square error values were 0.03, 0.59, 0.96, 0.26 and 279.76 for potential hydrogen (PH), dissolved oxygen (DO), chemical oxygen demand (COD), biological oxygen demand (BOD) and electrical conductivity (EC) maps, respectively. Also, the effect of considering 1 px value or the mean of a 3×3 window of the input images for calculating the regression models on the accuracy of the final maps was tested. Only the best outputs for mapping PH and DO parameters were based on applying the mean of a 3×3 window. The results also showed that increasing the window size could increase the computational complexity and decrease the WQM accuracy. Comparing the output maps with the traditional maps confirmed the higher accuracy of the proposed methods. |
Starting Page | 1382 |
Ending Page | 1392 |
Page Count | 11 |
ISSN | 17519659 |
Volume Number | 14 |
e-ISSN | 17519667 |
Issue Number | Issue 7, May (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/14/7 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1503 |
Journal | IET Image Processing |
Publisher Date | 2020-02-21 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Biological Oxygen Demand Chemical Oxygen Demand Cross-fusion Method Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Dissolved Oxygen Electrical Conductivity Maps Final Maps Geophysical Image Processing Geophysical Signal Processing Geophysical Technique And Equipment Gram–Schmidt Transform Higher CR Value Image Colour Analysis Image Fusion Image Processing Improved Water Quality Mapping Input Image Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Landsat-8 Cross-fusion Landsat-8 Imageries Mapping PH Mean Square Error Method Measurement And Control Technique And Instrumentation in Environmental Science Original Image Output Maps Probability Theory Regression Analysis Remote Sensing Restoration Root-mean-square Error Value Sentinel-2 Statistics Stochastic Linearised SCUC Traditional Fusion Methods Including Intensity–hue–saturation Traditional Maps Water Quality Water Quality And Water ReSource Water Quality Parameter Wavelet Transform WQM Accuracy WQP Maps |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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