The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data

LIU Meijie; DAI Yongshou; ZHANG Jie; REN Guangbo; MENG Junmin; ZHANG Xi

doi:10.3969/j.issn.0253-4193.2013.04.010

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LIU Meijie, DAI Yongshou, ZHANG Jie, REN Guangbo, MENG Junmin, ZHANG Xi. The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data[J]. Haiyang Xuebao, 2013, 35(4): 80-87. doi: 10.3969/j.issn.0253-4193.2013.04.010

Citation:

LIU Meijie, DAI Yongshou, ZHANG Jie, REN Guangbo, MENG Junmin, ZHANG Xi. The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data[J]. Haiyang Xuebao, 2013, 35(4): 80-87. doi: 10.3969/j.issn.0253-4193.2013.04.010

Citation:

LIU Meijie, DAI Yongshou, ZHANG Jie, REN Guangbo, MENG Junmin, ZHANG Xi. The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data[J]. Haiyang Xuebao, 2013, 35(4): 80-87. doi: 10.3969/j.issn.0253-4193.2013.04.010

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The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data

doi: 10.3969/j.issn.0253-4193.2013.04.010

1.
College of Information and Control Engineering, China University of Petroleum (Huadong), Qingdao 266555, China;First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;College of Physical Science, Qingdao University, Qingdao 266071, China
2.
College of Information and Control Engineering, China University of Petroleum (Huadong), Qingdao 266555, China
3.
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2011-08-29
Rev Recd Date: 2013-03-21

Abstract

Abstract

Along with the appearance of a great deal of high-resolution quad-polarization synthetic aperture radar (SAR) images, the traditional classification methods lead to worse results with lower classification precision due to the speckle. Therefore, the object-based method based on the context has been used to classify the types of sea ice of RADARSAT-2 SAR image in the Liaodong Gulf. The classification result is compared with that of professional classification and Wishard supervised classification based on H-α decomposition, It is showed that this method can eliminate the speckle with better visual effect and higher classification precision．
- high-resolution,
- Quad-polarization,
- types of sea ice,
- object-based

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References(18)

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