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/).

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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  -