Comparison of Algorithms and Input Vectors for Sea-Ice Classification with L-band PolSAR Data
碩士 === 國立臺灣大學 === 電信工程學研究所 === 107 === Both supervised and unsupervised methods are applied to L-band PolSAR data in advanced-melt phase and winter phase, respectively, to classify sea-ice type. Several types of input vector are derived from the covariance matrix of PolSAR data, based on the key fea...
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/s9489x |
| Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 107 === Both supervised and unsupervised methods are applied to L-band PolSAR data in advanced-melt phase and winter phase, respectively, to classify sea-ice type. Several types of input vector are derived from the covariance matrix of PolSAR data,
based on the key features embedded in the data. The accuracy rate of sea-ice classification by using these methods and input vectors are compared by simulations. The effects of parameters in different algorithms and constituents in different input vectors are elaborated and related to the underlying physical mechanisms.
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