Abstract
Aquacultural rafts are important for a large-scale utilisation and conservation of marine resources. Synthetic Aperture Radar (SAR) sensors are viable for mapping and monitoring aquacultural structures. This research offers a novel method that uses dual polarimetric Sentinel-1 and Sentinel-2 data. We project the covariance matrix, obtained from Sentinel-1 onto random normalised scattering configurations. Following this we obtain a spectrum of the dual-polarimetric scattering-type parameter θDP. This θDP spectrum is used with the Random Forest Classifier to classify the rafts from water surface. These classified maps are compared with the conventional eigen decomposition based approach. It is found that the classification accuracy of the proposed technique outperforms the accuracy obtained from the eigen-based technique.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 4116-4119 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350320107 |
| DOIs | |
| State | Published - 1 Jan 2023 |
| Externally published | Yes |
| Event | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 |
Publication series
| Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
|---|---|
| Volume | 2023-July |
Conference
| Conference | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 |
|---|---|
| Country/Territory | United States |
| City | Pasadena |
| Period | 16/07/23 → 21/07/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
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SDG 15 Life on Land
Keywords
- Aquaculture
- Dual polarimetry
- Raft
- SAR
- Sentinel-1
- Target characterization
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences
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