Abstract
Accurate sea-ice segmentation from satellite synthetic aperture radar (SAR) images plays an important role for understanding the interactions between sea-ice, ocean and atmosphere in the Arctic. Processing sea-ice SAR images are challenging due to poor spatial resolution and severe speckle noise. In this paper, we present a multi-stage method for the sea-ice SAR image segmentation, which includes edge-preserved filtering for preprocessing, k-means clustering for segmentation and conditional morphology filtering for post-processing. As such, the effect of noise has been suppressed and the under-segmented regions are successfully corrected.
| Language | English |
|---|---|
| Title of host publication | 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1040-1043 |
| Number of pages | 4 |
| Volume | 2015-November |
| ISBN (Electronic) | 9781479979295 |
| DOIs | |
| Publication status | Published - 10 Nov 2015 |
| Externally published | Yes |
| Event | IEEE International Geoscience and Remote Sensing Symposium - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015 https://www2.securecms.com/IGARSS2015/Default.asp (Link to Conference Website ) |
Conference
| Conference | IEEE International Geoscience and Remote Sensing Symposium |
|---|---|
| Abbreviated title | IGARSS 2015 |
| Country | Italy |
| City | Milan |
| Period | 26/07/15 → 31/07/15 |
| Internet address |
|
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Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach. / Ren, Jinchang; Hwang, Byongjun; Murray, Paul; Sakhalkar, Soumitra; McCormack, Samuel.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 1040-1043 7325947.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Effective SAR sea ice image segmentation and touch floe separation using a combined multi-stage approach
AU - Ren, Jinchang
AU - Hwang, Byongjun
AU - Murray, Paul
AU - Sakhalkar, Soumitra
AU - McCormack, Samuel
PY - 2015/11/10
Y1 - 2015/11/10
N2 - Accurate sea-ice segmentation from satellite synthetic aperture radar (SAR) images plays an important role for understanding the interactions between sea-ice, ocean and atmosphere in the Arctic. Processing sea-ice SAR images are challenging due to poor spatial resolution and severe speckle noise. In this paper, we present a multi-stage method for the sea-ice SAR image segmentation, which includes edge-preserved filtering for preprocessing, k-means clustering for segmentation and conditional morphology filtering for post-processing. As such, the effect of noise has been suppressed and the under-segmented regions are successfully corrected.
AB - Accurate sea-ice segmentation from satellite synthetic aperture radar (SAR) images plays an important role for understanding the interactions between sea-ice, ocean and atmosphere in the Arctic. Processing sea-ice SAR images are challenging due to poor spatial resolution and severe speckle noise. In this paper, we present a multi-stage method for the sea-ice SAR image segmentation, which includes edge-preserved filtering for preprocessing, k-means clustering for segmentation and conditional morphology filtering for post-processing. As such, the effect of noise has been suppressed and the under-segmented regions are successfully corrected.
KW - conditional morphology filtering
KW - edge-preserved filtering
KW - k-means clustering
KW - remote sensing
KW - satellite synthetic aperture radar
KW - Sea ice image segmentation
UR - http://www.scopus.com/inward/record.url?scp=84962606517&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7325947
DO - 10.1109/IGARSS.2015.7325947
M3 - Conference contribution
VL - 2015-November
SP - 1040
EP - 1043
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -