Sea Ice Image Processing Research Based On GOCI Satellite
- DOI
- 10.2991/isci-15.2015.286How to use a DOI?
- Keywords
- Sea Ice Monitoring; Satellite Remote Sensing; SIFT Algorithm; Feature Extraction; Image Matching
- Abstract
The GOCI (Geostationary Ocean Color Imager) satellite with high spatial resolution and high temporal resolution can satisfy the needs of monitoring drift of sea ice to provide real-time and high frequency data. The real-time and accurate monitoring information can be obtained to support the economic activities related with sea. The SIFT (Scale-invariant feature transform) algorithm is improved to realize two optimization schemes of the automatic selection of threshold and manual elimination of edge points to make use of the GOCI satellite image information effectively. The improved SIFT algorithm is utilized to extract the feature points of images of sea ice and match images. The feasibility and practicability of the improved algorithm is verified through comparison between the improved algorithm and conventional algorithm.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - ShengWen Gong PY - 2015/01 DA - 2015/01 TI - Sea Ice Image Processing Research Based On GOCI Satellite BT - Proceedings of the 2015 International Symposium on Computers & Informatics PB - Atlantis Press SP - 2184 EP - 2191 SN - 2352-538X UR - https://doi.org/10.2991/isci-15.2015.286 DO - 10.2991/isci-15.2015.286 ID - Gong2015/01 ER -