| DOI: | 10.5194/tc-9-357-2015
|
| Scopus记录号: | 2-s2.0-84923198957
|
| 论文题名: | Comparing C- and L-band SAR images for sea ice motion estimation |
| 作者: | Lehtiranta J; , Siiriä S; , Karvonen J
|
| 刊名: | Cryosphere
|
| ISSN: | 19940416
|
| 出版年: | 2015
|
| 卷: | 9, 期:1 | | 起始页码: | 357
|
| 结束页码: | 366
|
| 语种: | 英语
|
| 英文关键词: | estimation method
; ice movement
; iceberg
; image analysis
; sea ice
; surface roughness
; synthetic aperture radar
; Atlantic Ocean
; Baltic Sea
|
| 英文摘要: | Pairs of consecutive C-band synthetic-aperture radar (SAR) images are routinely used for sea ice motion estimation. The L-band radar has a fundamentally different character, as its longer wavelength penetrates deeper into sea ice. L-band SAR provides information on the seasonal sea ice inner structure in addition to the surface roughness that dominates C-band images. This is especially useful in the Baltic Sea, which lacks multiyear ice and icebergs, known to be confusing targets for L-band sea ice classification. In this work, L-band SAR images are investigated for sea ice motion estimation using the well-established maximal cross-correlation (MCC) approach. This work provides the first comparison of L-band and C-band SAR images for the purpose of motion estimation. The cross-correlation calculations are hardware accelerated using new OpenCL-based source code, which is made available through the author's web site. It is found that L-band images are preferable for motion estimation over C-band images. It is also shown that motion estimation is possible between a C-band and an L-band image using the maximal cross-correlation technique. © Author(s) 2015. |
| Citation statistics: |
|
| 资源类型: | 期刊论文
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/75338
|
| Appears in Collections: | 影响、适应和脆弱性
气候变化与战略
|
|
There are no files associated with this item.
|
|
作者单位: | Finnish Meteorological Institute, Marine Research Programme, Helsinki, PB 503, Finland
|
| Recommended Citation: | |
Lehtiranta J,, Siiriä S,, Karvonen J. Comparing C- and L-band SAR images for sea ice motion estimation[J]. Cryosphere,2015-01-01,9(1)
|
|
|