基于质量权重的Savitzky-Golay时间序列滤波方法

doi:10.11873/j.issn.1004-0323.2013.2.232

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2013, Vol. 28 鈥衡�� Issue (2): 232-239.DOI: 10.11873/j.issn.1004-0323.2013.2.232

鈥� 鍥惧儚涓庢暟鎹鐞� 鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬璐ㄩ噺鏉冮噸鐨凷avitzky-Golay鏃堕棿搴忓垪婊ゆ尝鏂规硶顎�

鍛ㄥ鍏�^1,2,鍞愬▔¹

(1.涓浗绉戝闄㈤仴鎰熷簲鐢ㄧ爺绌舵墍閬ユ劅褰卞儚澶勭悊鐮旂┒瀹�,鍖椾含 100101锛�2.涓浗绉戝闄㈠ぇ瀛�,鍖椾含 100049)

鏀剁鏃ユ湡:2012-02-27 淇洖鏃ユ湡:2012-12-24 鍑虹増鏃ユ湡:2013-04-20 鍙戝竷鏃ユ湡:2013-06-24
閫氳浣滆��: 鍞愬▔(1968-),濂�,瀹佸涓崼浜�,鍗氬＋,鐮旂┒鍛�,涓昏浠庝簨閬ユ劅鍥惧儚澶勭悊鐮旂┒銆侲mail:tangping@irsa.ac.cn銆�
浣滆�呯畝浠�:鍛ㄥ鍏�(1987-),鐢�,灞辫タ涓存本浜�,纭曞＋鐮旂┒鐢�,涓昏浠庝簨閬ユ劅鍥惧儚鏃堕棿搴忓垪鐮旂┒銆侲mail:yourszhou@gmail.com銆�
鍩洪噾璧勫姪:
鍥藉863璁″垝椤圭洰瀛愯棰�“鍏ㄧ悆閬ユ劅褰卞儚澶勭悊涓庢暟鎹泦鎴愮爺绌�”(2009AA122002)銆�

VI-Quality-Based Savitzky-Golay Method for Filtering Time Series Data

Zhou Zengguang^1,2,Tang Ping¹

(1.Image Processing Division,Institute of Remote Sensing Applications,顎�
Chinese Academy of Sciences,Beijing 100101,China;顎�
2.University of Chinese Academy of Sciences,Beijing 100049,China)

Received:2012-02-27 Revised:2012-12-24 Online:2013-04-20 Published:2013-06-24

鎽樿/Abstract

鎽樿锛�

褰掍竴鍖栨琚寚鏁�(NDVI)鏃堕棿搴忓垪鏁版嵁鍥犲惈鏈夊ぇ閲忓櫔澹�,缁欏叾搴旂敤甯︽潵璇稿涓嶄究,鐢氳嚦浜х敓閿欒缁撴灉銆傝嚜閫傚簲Savitzky\|Golay婊ゆ尝鍣ㄨ兘澶熸湁鏁堝湴鎶戝埗绐侀檷鍣０,浣嗗湪瀵归珮鍊煎櫔澹扮殑鎶戝埗鍜岀獊闄嶉潪鍣０鏁版嵁鐨勪繚鎶ゆ柟闈㈠瓨鍦ㄤ笉瓒炽�傚皢MODIS VI浜у搧涓殑璐ㄩ噺鍥犲瓙浣滀负鏉冮噸,鎻愬嚭鍩轰簬璐ㄩ噺鏉冮噸鐨凷avitzky\|Golay婊ゆ尝鏂规硶,缁忛獙璇佽鏂规硶鑳藉淇濇寔楂樿川閲廚DVI鏁版嵁鐨勭ǔ瀹氭�у拰鐩稿叧鎬�,骞惰兘澶熸湁鏁堟姂鍒跺櫔澹扮殑褰卞搷銆�

鍏抽敭璇�: NDVI, 鏃堕棿搴忓垪, 婊ゆ尝, 璐ㄩ噺, Savitzky-Golay

Abstract:

NDVI time-series data contain disturbances that limit their use and even yield false results.Although the adaptive Savitzky-Golay method could effectively filter some sudden fall - noisy data which is assumed traditionally to be contaminated by clouds or poor atmosphere conditions,it cannot preserve some sudden fall data with good quality,and cannot suppress the sudden rise noisy data.Although maximum NDVI values greatly reduce clouds and aerosols,the highest NDVI value does not necessarily correspond to small sensor viewing angles or to the least-contaminated measurement.This paper presents a VI-quality-weighted Savitzky-Golay method which is based on the Savitzky-Golay filter and weighted by VI qualities derived from MODIS VI product.The results illustrate that the quality-weighted methods could filter more noises,especially sudden rise noisy data,effectively preserve high-quality data and meanwhile do not sensibly elevate the values of the whole time-series.It can appropriately fit high quality data among serious fluctuations and better reconstructs wave crests compared with the traditional Distance-weighted Savitzky-Golay method.Statistically,the proposed method here has the following characteristics:(1) it has lower mean variation (or less shift) effect on original NDVI data;(2) it stabilizes high quality NDVI data;and (3) the resulting high quality data are better correlated with original good data,meanwhile the original noise are greatly decorrelated.

Key words: NDVI, Time series, Filter, Quality, Savitzky-Golay

涓浘鍒嗙被鍙�:

TP 75

鍛ㄥ鍏�,鍞愬▔顎�. 鍩轰簬璐ㄩ噺鏉冮噸鐨凷avitzky-Golay鏃堕棿搴忓垪婊ゆ尝鏂规硶顎僛J]. 閬ユ劅鎶�鏈笌搴旂敤, 2013, 28(2): 232-239.

Zhou Zengguang,Tang Ping顎�. VI-Quality-Based Savitzky-Golay Method for Filtering Time Series Data[J]. Remote Sensing Technology and Application, 2013, 28(2): 232-239.

鍙傝�冩枃鐚�

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鍩轰簬璐ㄩ噺鏉冮噸鐨凷avitzky-Golay鏃堕棿搴忓垪婊ゆ尝鏂规硶顎�

VI-Quality-Based Savitzky-Golay Method for Filtering Time Series Data

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