Land Cover Classification using EM Algorithm based Multi-Polarized ALOS PALSAR Image Fusion

被引：0
|
作者：
Mittal, Vikas [1 ]
Singh, D. [2 ]
Saini, L. M. [3 ]
机构：
[1] NIT Kurukshetra, ECE Deptt, Kurukshetra, Haryana, India
[2] IIT, Ec & Co Engn Dept, Roorkee, Uttar Pradesh, India
[3] NIT, Dept Elect Engn, Kurukshetra, Haryana, India
来源：
2013 INTERNATIONAL CONFERENCE ON MICROWAVE AND PHOTONICS (ICMAP) | 2013年
关键词：
SAR imaging; EM algorithm; image fusion; land cover classification; POLARIMETRIC SAR DATA;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an attempt has been made to improve information of an image by fusion technique, so it may be more effectively used. Full polarimetric images of ALOS PALSAR are fused by exploiting the nice properties of Expectation Maximization (EM) algorithm. Maximum likelihood classifier is applied on the composite unfused singlet and fused doublet images and results are compared on the basis of producer, user, overall accuracies and Kappa Coefficient.
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页数：5
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