An Investigation into the Capability of Compact Polarized SAR to Classify Multi-Sea-Surface Characteristics. Issue 2 (4th March 2018)
- Record Type:
- Journal Article
- Title:
- An Investigation into the Capability of Compact Polarized SAR to Classify Multi-Sea-Surface Characteristics. Issue 2 (4th March 2018)
- Main Title:
- An Investigation into the Capability of Compact Polarized SAR to Classify Multi-Sea-Surface Characteristics
- Authors:
- Wang, Xiaochen
Shao, Yun
Tian, Wei
Bian, Xiaolin - Abstract:
- ABSTRACT: This paper assesses the capability of Compact Polarized (CP) Synthetic Aperture Radar (SAR) to classify multi-sea-surface characteristics (defined as typical sea surface suspended sediments, such as oil spills algal look-alikes and algal blooms). CP reconstruction is carried out on two C-band RADARSAT-2 quad-polarized (QP) SAR images using Nord's algorithm. The accuracies of the reconstructed polarized signatures of the multi-sea-surface characteristics of open water, oil spills and algal blooms derived from QP original quad-polarized data (quad-pol) and CP reconstructed approximate quad-polarized data (namely pseudo quad-pol) are then compared and analyzed. In addition, 10 types of polarization parameters are chosen in order to investigate the accuracy of the reconstruction for open water, oil spills and algal blooms. A comparison of the results shows that, of the chosen parameters, the reconstruction accuracies for σ 0 HH, σ 0 VV, ρ, l 1, l 2 and α are the highest whereas the accuracies obtained for σ 0 HV, l 3, H and A are unsatisfactory. The influence of reconstructed CP polarization parameters on the classification of multi-sea-surface characteristics is also assessed. Based on an assessment of this classification, it is concluded that the hybrid polarization (CTLR) mode should be adopted for the reconstruction of σ 0 HH, σ 0 VV, l 1, H and α whereas the π/4 mode should be used for the reconstruction of σ 0 HV, ρ, l 2 and l 3 .
- Is Part Of:
- Canadian journal of remote sensing. Volume 44:Issue 2(2018)
- Journal:
- Canadian journal of remote sensing
- Issue:
- Volume 44:Issue 2(2018)
- Issue Display:
- Volume 44, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 44
- Issue:
- 2
- Issue Sort Value:
- 2018-0044-0002-0000
- Page Start:
- 91
- Page End:
- 103
- Publication Date:
- 2018-03-04
- Subjects:
- Remote sensing -- Periodicals
621.367805 - Journal URLs:
- http://www.tandfonline.com/toc/ujrs20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/07038992.2018.1461554 ↗
- Languages:
- English
- ISSNs:
- 0703-8992
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14204.xml