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不同时间间隔下的遥感时间序列重构模型比较分析
  • ISSN号:1560-8999
  • 期刊名称:《地球信息科学学报》
  • 时间:0
  • 分类:P315.5[天文地球—地震学;天文地球—固体地球物理学;天文地球—地球物理学]
  • 作者机构:[1]中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101, [2]中国科学院大学,北京100049, [3]中科遥感科技集团有限公司,北京100101
  • 相关基金:国家“863”计划项目(2012AA12A301); 国家自然科学基金项目(41371359); 中国科学院遥感与数字地球研究所所长青年基金项目(Y5SJ2000CX).
中文摘要:

遥感时间序列被广泛用于地表信息探测。然而受传感器和外部条件的影响,时间序列存在不同程度的噪声。时间序列重构模型能够实现时间序列去噪,但不同重构模型应用于不同时间间隔时间序列的精度不同。本文以辽宁省朝阳市为研究区,分别利用1、4、8、16和30 d间隔归一化植被指数(Normalized Difference Vegetable Index,NDVI)时间序列,进行模拟数据实验和物候监测实验,从波形还原能力和物候期提取精度2方面,评价了SG滤波、DL拟合、HANTS 3种模型在不同时间间隔下的重构效果。结果表明,SG滤波模型适用于较大时间间隔的时间序列数据,DL拟合模型适用于较小时间间隔的时间序列数据,HANTS模型对较小间隔的时间序列重构精度较低。在此基础上,从模型自身的角度分析了3者在不同时间间隔下表现的原因,并为面向不同时间间隔时间序列数据的重构模型选择提供了参考。

英文摘要:

Remotely sensed time series are being widely used in land surface information detection. However, influenced by the sensors and external conditions, different levels of noises exist in the remotely sensed time series. Although reconstruction models can reduce the noises in times series effectively, different reconstruction models provide different levels of accuracy when they are used at various intervals. This study took the city of Chaoyang in Liaoning Province as a case. We utilized the time series of Normalized Difference Vegetation Index(NDVI) at intervals of 1-day, 4-day, 8-day, 16-day and 30-day, respectively, to carry out experiments of simulation and phenology observation. We also assessed the reconstruction results of the SG filter model, the DL fitting model and the HANTS model based on their capabilities of keeping waveform of time series and their accuracy of phenological date extraction. In addition, we also analyzed sensitivity of these three models to various intervals. The results showed that the SG filter model performed better at larger intervals, the DL fitting model gave better reconstruction accuracy at smaller intervals and the Hants model gave better accuracy when it is used at larger intervals. Moreover, the reasons of the different performance of the three reconstruction models were analyzed from the theories of these models. On this basis, we gave the suggestions on the choice of reconstruction models of time series at different intervals.

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期刊信息
  • 《地球信息科学学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院地理科学与资源研究所 中国地理学会
  • 主编:徐冠华
  • 地址:北京大屯路甲11号
  • 邮编:100101
  • 邮箱:sxfu@lreis.ac.cn
  • 电话:010-64888891
  • 国际标准刊号:ISSN:1560-8999
  • 国内统一刊号:ISSN:11-5809/P
  • 邮发代号:82-919
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:3181