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...

Full description

Bibliographic Details
Main Authors: Kai-Shiun Yang, 楊凱勛
Other Authors: Jean-Fu Kiang
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/s9489x