XPGR结合小波变换的南极冰盖冻融探测  

Antarctic Ice-Sheet Freeze-Thaw Detection Based on XPGR Combined with Wavelet Transform

作　　者：王星东[1] 李新武[2] 熊章强[1] 梁雷[2] 

机构地区：[1]中南大学地球科学与信息物理学院,湖南长沙410083 [2]中国科学院遥感与数字地球研究所,北京100094

出　　处：《东北大学学报（自然科学版）》2014年第5期650-654,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(41076129;41274123)

摘　　要：针对微波辐射计的交叉极化比率(cross-polarized gradient ratio,XPGR)算法在冰盖冻融探测中存在的问题,提出了不依赖于实地观测数据的XPGR结合小波变换模型进行南极冰盖冻融探测的方法,即运用小波变换模型对XPGR的长时间序列数据做小波变换,得到南极冰盖融化开始、持续和结束时间分布图.此方法由于能自动选取大量样本点且具有一定的去噪效果,不仅提高了冰盖冻融探测的计算效率、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,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.In view of the problem of XPGR （ cross-polarized gradient ratio） algorithm existed in the ice-sheet freeze-thaw detection, an XPGR combined with wavelet transform algorithm was proposed, which did not depend on the field observations. The proposed algorithm was used in the Antarctic ice-sheet freeze-thaw detection by microwave radiometer. That was the processing for the long time series data of XPGR algorithm by the use of wavelet transform model to automatically get the distribution of Antarctic ice-sheet melting onset date, melting duration and melting end date. The computational efficiency, usability and operability of detecting were improved in the ice-sheet freeze-thaw detection because many samples could be automatically selected by the algorithm with certain denoising effect. To some extent, the accuracy of detecting ice-sheet freezing and thawing was also improved and the goal of Antarctic ice-sheet monitoring system construction was better achieved.

关 键 词：冰盖冻融探测 微波辐射计 XPGR 小波变换 精度 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]