Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr)
Land use and land cover maps are essentially needed for socio-economic development and environment protection. Accurate and up to date maps play an important role in urban planning. Synthetic Aperture Radar (SAR) sensors provides unique information from the Earth surface due to their imaging capabil...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
I.R. of Iran Meteorological Organization
2022-09-01
|
| Series: | Nīvār |
| Subjects: | |
| Online Access: | https://nivar.irimo.ir/article_167435_469bc500c9bc194929a2340a93b5fc70.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559948755992576 |
|---|---|
| author | Mohammad Hossein Hajarian Sara Attarchi Seyyed Kazem Alavi Panah |
| author_facet | Mohammad Hossein Hajarian Sara Attarchi Seyyed Kazem Alavi Panah |
| author_sort | Mohammad Hossein Hajarian |
| collection | DOAJ |
| description | Land use and land cover maps are essentially needed for socio-economic development and environment protection. Accurate and up to date maps play an important role in urban planning. Synthetic Aperture Radar (SAR) sensors provides unique information from the Earth surface due to their imaging capabilities in all-weather condition. However, inherent speckle effect limits their application. In this study, the effect of speckle filtering on the land use/land cover (LULC) classification map in Bander-Mahshahr, Iran has been studied. Dual-polarimetric Sentinel 1-A (VH,VV) and multispectral Sentinel-2B were fused for classification purposes. Different speckle removing methods such as Boxcar, Median, Frost, Refined Lee, Lee Sigma, Intensity-Driven Adaptive-Neighborhood, Gamma Map, and Lee filters were applied on the Sentinel-1A dataset. The Gram–Schmidt (GS) fusion process was chosen to integrate the multispectral Sentinel-2 data and VH, VV bands of Sentinel-1 data. Then, the LULC (land use/land cover) was produced with a random forest classifier. IDAN filter has reached the highest overall accuracy (i.e., 76.64%) and Kappa coefficient (i.e., 0.72) on the combined VH polarization image and sentinel-2 bands. Also, in combining VV polarization with Sentinel 2 bands, the median filter provides the highest performance with overall accuracy of 76.6% and Kappa coefficient of 0.7. As the study area is located in a coastal environment and there is frequent cloud cover, the combination of two polarizations VV and VH without using Sentinel-2 bands was also studied. The highest performance was provided by the boxcar filter with an overall accuracy of 95.56% and a Kappa coefficient of 0.94. The obtained results confirm the high capabilities of SAR images in LULC mapping in a coastal city |
| format | Article |
| id | doaj-art-7bd3c656ffea4fb8bcaeaecb0988f55e |
| institution | Kabale University |
| issn | 1735-0565 2645-3347 |
| language | fas |
| publishDate | 2022-09-01 |
| publisher | I.R. of Iran Meteorological Organization |
| record_format | Article |
| series | Nīvār |
| spelling | doaj-art-7bd3c656ffea4fb8bcaeaecb0988f55e2025-01-05T11:56:52ZfasI.R. of Iran Meteorological OrganizationNīvār1735-05652645-33472022-09-0146118-1199511210.30467/nivar.2022.167435167435Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr)Mohammad Hossein Hajarian0Sara Attarchi1Seyyed Kazem Alavi Panah2M.Sc. Student, Remote sensing and GIS Department, Faculty of Geography, University of TehranAssistant professor, University of Tehran, Faculty of Geography, Tehran, IranProfessor of Faculty of Geography, University of TehranLand use and land cover maps are essentially needed for socio-economic development and environment protection. Accurate and up to date maps play an important role in urban planning. Synthetic Aperture Radar (SAR) sensors provides unique information from the Earth surface due to their imaging capabilities in all-weather condition. However, inherent speckle effect limits their application. In this study, the effect of speckle filtering on the land use/land cover (LULC) classification map in Bander-Mahshahr, Iran has been studied. Dual-polarimetric Sentinel 1-A (VH,VV) and multispectral Sentinel-2B were fused for classification purposes. Different speckle removing methods such as Boxcar, Median, Frost, Refined Lee, Lee Sigma, Intensity-Driven Adaptive-Neighborhood, Gamma Map, and Lee filters were applied on the Sentinel-1A dataset. The Gram–Schmidt (GS) fusion process was chosen to integrate the multispectral Sentinel-2 data and VH, VV bands of Sentinel-1 data. Then, the LULC (land use/land cover) was produced with a random forest classifier. IDAN filter has reached the highest overall accuracy (i.e., 76.64%) and Kappa coefficient (i.e., 0.72) on the combined VH polarization image and sentinel-2 bands. Also, in combining VV polarization with Sentinel 2 bands, the median filter provides the highest performance with overall accuracy of 76.6% and Kappa coefficient of 0.7. As the study area is located in a coastal environment and there is frequent cloud cover, the combination of two polarizations VV and VH without using Sentinel-2 bands was also studied. The highest performance was provided by the boxcar filter with an overall accuracy of 95.56% and a Kappa coefficient of 0.94. The obtained results confirm the high capabilities of SAR images in LULC mapping in a coastal cityhttps://nivar.irimo.ir/article_167435_469bc500c9bc194929a2340a93b5fc70.pdfmahshahr portsentinel 1specklerandom forestland use |
| spellingShingle | Mohammad Hossein Hajarian Sara Attarchi Seyyed Kazem Alavi Panah Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) Nīvār mahshahr port sentinel 1 speckle random forest land use |
| title | Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) |
| title_full | Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) |
| title_fullStr | Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) |
| title_full_unstemmed | Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) |
| title_short | Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) |
| title_sort | speckle filtering impact on land cover mapping using the combination of sentinel 1 and sentinel 2 images case study bandar mahshahr |
| topic | mahshahr port sentinel 1 speckle random forest land use |
| url | https://nivar.irimo.ir/article_167435_469bc500c9bc194929a2340a93b5fc70.pdf |
| work_keys_str_mv | AT mohammadhosseinhajarian specklefilteringimpactonlandcovermappingusingthecombinationofsentinel1andsentinel2imagescasestudybandarmahshahr AT saraattarchi specklefilteringimpactonlandcovermappingusingthecombinationofsentinel1andsentinel2imagescasestudybandarmahshahr AT seyyedkazemalavipanah specklefilteringimpactonlandcovermappingusingthecombinationofsentinel1andsentinel2imagescasestudybandarmahshahr |