PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India
Polarimetric decomposition models such as Freeman-Durden’s three-component and Yamaguchi’s four-component models were used to extract the scattering mechanisms. In a few cases, both the models have shown overestimation of the volume scattering from the highly-dense building instead of even-bounce sc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Science of Remote Sensing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666017221000079 |
| _version_ | 1819103096110841856 |
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| author | M.N.S. Ramya Shashi Kumar |
| author_facet | M.N.S. Ramya Shashi Kumar |
| author_sort | M.N.S. Ramya |
| collection | DOAJ |
| description | Polarimetric decomposition models such as Freeman-Durden’s three-component and Yamaguchi’s four-component models were used to extract the scattering mechanisms. In a few cases, both the models have shown overestimation of the volume scattering from the highly-dense building instead of even-bounce scattering. Deorientation process helped to reduce the overestimation of the volume scattering but didn’t accomplish completely. This paper addressed this issue by the insertion of PolInSAR coherence in the existing decomposition models. The coherence varies with features based on its temporal and volume decorrelation, hence forest results in low coherence compared to permanent scatterers helps to characterize the man-made and natural features. This paper experimented with a proposed model on the RADARSAT-2 dataset of Uttarakhand as a case study. Volume scattering was modified and extracted based on different coherence parameter assumptions. Finally, the first optimal band with spatial and temporal baseline coefficients as 1 and 0.6 thresholds gave a more reliable outcome. For qualitative analysis, the scattering mechanisms of features from different models were compared. In the proposed model, closely spaced buildings exhibited 54% and 26% dominance in the even and odd-bounce scattering while volume scattering reduced to 18%. Whereas Freeman-Durden and Yamaguchi’s model has shown dominance in volume nearly 98% and 50% while even and odd-bounce scattering were less than 1% in Freeman-Durden model and 39% and 11% in Yamaguchi’s model. Forest shows dominance in the volume scattering higher than 60% in the Freeman-Durden and the proposed models whereas 35% in the Yamaguchi’s model. Therefore, the proposed methodology successfully fused polarimetry and interferometry to overcome the ambiguity in scattering. |
| first_indexed | 2024-12-22T01:45:01Z |
| format | Article |
| id | doaj.art-6764887aedf0466186ead5e6caaab41f |
| institution | Directory Open Access Journal |
| issn | 2666-0172 |
| language | English |
| last_indexed | 2024-12-22T01:45:01Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Science of Remote Sensing |
| spelling | doaj.art-6764887aedf0466186ead5e6caaab41f2022-12-21T18:43:06ZengElsevierScience of Remote Sensing2666-01722021-06-013100020PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, IndiaM.N.S. Ramya0Shashi Kumar1Centre for Space Science and Technology Education in Asia and the Pacific, Dehradun, IndiaCentre for Space Science and Technology Education in Asia and the Pacific, Dehradun, India; Photogrammetry & Remote Sensing Department, Indian Institute of Remote Sensing, ISRO Dept. of Space, Dehradun, India; Corresponding author.Polarimetric decomposition models such as Freeman-Durden’s three-component and Yamaguchi’s four-component models were used to extract the scattering mechanisms. In a few cases, both the models have shown overestimation of the volume scattering from the highly-dense building instead of even-bounce scattering. Deorientation process helped to reduce the overestimation of the volume scattering but didn’t accomplish completely. This paper addressed this issue by the insertion of PolInSAR coherence in the existing decomposition models. The coherence varies with features based on its temporal and volume decorrelation, hence forest results in low coherence compared to permanent scatterers helps to characterize the man-made and natural features. This paper experimented with a proposed model on the RADARSAT-2 dataset of Uttarakhand as a case study. Volume scattering was modified and extracted based on different coherence parameter assumptions. Finally, the first optimal band with spatial and temporal baseline coefficients as 1 and 0.6 thresholds gave a more reliable outcome. For qualitative analysis, the scattering mechanisms of features from different models were compared. In the proposed model, closely spaced buildings exhibited 54% and 26% dominance in the even and odd-bounce scattering while volume scattering reduced to 18%. Whereas Freeman-Durden and Yamaguchi’s model has shown dominance in volume nearly 98% and 50% while even and odd-bounce scattering were less than 1% in Freeman-Durden model and 39% and 11% in Yamaguchi’s model. Forest shows dominance in the volume scattering higher than 60% in the Freeman-Durden and the proposed models whereas 35% in the Yamaguchi’s model. Therefore, the proposed methodology successfully fused polarimetry and interferometry to overcome the ambiguity in scattering.http://www.sciencedirect.com/science/article/pii/S2666017221000079Synthetic aperture radarFreeman-durden decomposition modelYamaguchi decomposition modelPolInSAR coherencePolInSAR coherence decomposition model |
| spellingShingle | M.N.S. Ramya Shashi Kumar PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India Science of Remote Sensing Synthetic aperture radar Freeman-durden decomposition model Yamaguchi decomposition model PolInSAR coherence PolInSAR coherence decomposition model |
| title | PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India |
| title_full | PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India |
| title_fullStr | PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India |
| title_full_unstemmed | PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India |
| title_short | PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India |
| title_sort | polinsar coherence based decomposition modeling for scattering characterization a case study in uttarakhand india |
| topic | Synthetic aperture radar Freeman-durden decomposition model Yamaguchi decomposition model PolInSAR coherence PolInSAR coherence decomposition model |
| url | http://www.sciencedirect.com/science/article/pii/S2666017221000079 |
| work_keys_str_mv | AT mnsramya polinsarcoherencebaseddecompositionmodelingforscatteringcharacterizationacasestudyinuttarakhandindia AT shashikumar polinsarcoherencebaseddecompositionmodelingforscatteringcharacterizationacasestudyinuttarakhandindia |