基于改进的小波变换的南极冰盖冻融探测

doi:10.3969/j.issn.0372-2112.2013.02.030

电子学报 ›› 2013, Vol. 41 ›› Issue (2): 402-406.DOI: 10.3969/j.issn.0372-2112.2013.02.030

基于改进的小波变换的南极冰盖冻融探测

王星东^1,2, 熊章强¹, 李新武², 梁雷²

1. 中南大学有色金属成矿预测教育部重点实验室,地球科学与信息物理学院,湖南长沙 410083;
2. 中国科学院对地观测与数字地球科学中心,北京 100094

收稿日期:2012-02-09 修回日期:2012-08-06 出版日期:2013-02-25
- 作者简介:
- 王星东 男,1982年生于陕西宝鸡,2010年秋进入中南大学攻读博士学位,2011年初进入中国科学院对地观测与数字地球科学中心从事主被动微波遥感的冰盖冻融探测方面的有关研究. E-mail:zkywxd@163.com熊章强男,1963年生于湖南长沙,中南大学地球科学与信息物理学院教授,博士生导师,主要从事地震勘探及数据处理和波场高分辩成像方面的有关研究. E-mail:xzqxzq666@163.com
- 基金资助:
- 国家自然科学基金 (No.41076129); 国家863高技术研究发展计划 (No.2008AA121702)

Antarctic Ice-Sheet Freeze-Thaw Detection Based on Improved Wavelet Transform

WANG Xing-dong^1,2, XIONG Zhang-qiang¹, LI Xin-wu², LIANG Lei²

1. Key Laboratory of Metallogenic Prediction of Nonterrous Metals, Ministry of Education, School of Geosciences and Info-physics, Central South University, Changsha, Hunan 410083, China;
2. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China

Received:2012-02-09 Revised:2012-08-06 Online:2013-02-25 Published:2013-02-25
- Supported by:
- National Natural Science Foundation of China (No.41076129); National High-tech R&D Program of China (863 Program) (No.2008AA121702)

摘要/Abstract

摘要： 小波变换模型算法中的双高斯模型拟合干湿雪分类的最优阈值时,受初始值影响且典型样本区的选取比较费时,针对这些缺点提出了自动阈值分割的改进的小波变换算法,即用广义高斯模型自动拟合干湿雪分类的最优阈值.该算法继承和发展了冰盖冻融探测无需依赖于实测数据的优点,更好地实现了南极地区冰盖冻融监测系统建设的业务化运行目标.通过对改进前后的结果对比分析表明:改进后的方法与原方法相比,不仅提高了冰盖冻融探测方法的计算效率、实用性和可操作性,而且还在一定程度上提高了冰盖冻融探测的精度.

关键词: 冰盖冻融探测, 最优阈值, 改进的小波变换, 广义高斯模型

Abstract: When the double-Gaussian model of the current wavelet-transform algorithm fits the optimal threshold value of the dry and wet snow classification,it is easily affected by the initial value and has the shortcomings of consuming more time in selecting the typical sample zones.According to the fact,this paper proposed the improved wavelet-transform algorithm for the automatic threshold segmentation,that is,generalized Gaussian model automatically fits the optimal wet and dry snow classification threshold.The algorithm inherits and develops the advantage of ice-sheet freeze-thaw detection,which does not rely on the measured data and achieves the goal of Antarctic ice-sheet monitoring system business more effectively.By comparing and analyzing of the two algorithms,we can see that the improved algorithm improves the computational efficiency,usability and operability in the ice-sheet freeze-thaw detection as well as the accuracy of detection to some extent.

Key words: ice-sheet freeze-thaw detection, optimal threshold, improved wavelet transform, generalized Gaussian model

中图分类号:

P237

王星东, 熊章强, 李新武, 等. 基于改进的小波变换的南极冰盖冻融探测[J]. 电子学报, 2013, 41(2): 402-406.

WANG Xing-dong, XIONG Zhang-qiang, LI Xin-wu, et al. Antarctic Ice-Sheet Freeze-Thaw Detection Based on Improved Wavelet Transform[J]. Acta Electronica Sinica, 2013, 41(2): 402-406.

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基于改进的小波变换的南极冰盖冻融探测

Antarctic Ice-Sheet Freeze-Thaw Detection Based on Improved Wavelet Transform

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