遥感影像几何校正的GCP残差模拟分析

doi:10.11873/j.issn.1004-0323.2011.2.226

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2011, Vol. 26 鈥衡�� Issue (2): 226-232.DOI: 10.11873/j.issn.1004-0323.2011.2.226

鈥� 鍥惧儚澶勭悊鈥� 涓婁竴绡� 涓嬩竴绡�

閬ユ劅褰卞儚鍑犱綍鏍℃鐨凣CP娈嬪樊妯℃嫙鍒嗘瀽

鐜嬫睙娴�^1,2,钁涘拸¹

锛�1.涓浗绉戝闄㈠湴鐞嗙瀛︿笌璧勬簮鐮旂┒鎵�璧勬簮涓庣幆澧冧俊鎭郴缁熷浗瀹堕噸鐐瑰疄楠屽,鍖椾含100101锛涱��
2.涓浗绉戝闄㈢爺绌剁敓闄�,鍖椾含100049锛�

鏀剁鏃ユ湡:2010-09-10 淇洖鏃ユ湡:2010-11-12 鍑虹増鏃ユ湡:2011-04-20 鍙戝竷鏃ユ湡:2011-07-25
閫氳浣滆��: 钁涘拸(1972-),濂�,鏂扮枂濂庡悲浜猴紝鍗氬＋,鍓爺绌跺憳,涓昏浠庝簨绌洪棿鏁版嵁鍒嗘瀽涓庤川閲忚瘎浠风爺绌躲�侲mail锛歡ey@lreis.ac.cn銆�
浣滆�呯畝浠�:鐜嬫睙娴�(1985-),鐢�,姹熻嫃瀹胯縼浜猴紝鍗氬＋鐮旂┒鐢�,涓昏浠庝簨绌洪棿鏁版嵁涓嶇‘瀹氭�у垎鏋愮爺绌躲�侲mail锛歸angjh@lreis.ac.cn銆�
鍩洪噾璧勫姪:
鍥藉鑷劧绉戝鍩洪噾椤圭洰锛�40971222锛�,鍥藉863閲嶇偣椤圭洰锛�2006AA120106锛夎祫鍔┿��

Simulation Analysis of GCP Residuals in the Remote Sensing Image Registration

WANG Jiang-hao^1,2,GE Yong¹

锛�1.State Key Laboratory of Resources and Environment Information System,Institute of Geographic顎�
Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China; 顎�
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China锛�

Received:2010-09-10 Revised:2010-11-12 Online:2011-04-20 Published:2011-07-25

鎽樿/Abstract

鎽樿锛�

澶氭簮閬ユ劅鏁版嵁鍒嗘瀽搴旂敤鍓嶉渶瑕佽瘎浠峰奖鍍忓嚑浣曟牎姝ｆ垨閰嶅噯鐨勮川閲忎互纭繚婊¤冻搴旂敤鐨勯渶姹傘�備紶缁熺殑鍧囨柟鏍硅宸紙RMSE锛変綅缃簿搴﹁瘎浠锋柟娉曞浐鐒剁畝鍗�,鐒惰�屾棤娉曟弿杩版牎姝ｅ悗鎺у埗鐐癸紙GCP锛夋畫宸殑鍒嗗竷鐗规��,鍥犺�屽叿鏈変竴瀹氬眬闄愭�с�傞噰鐢ㄤ氦鍙夐獙璇佹硶骞朵粠GCP娈嬪樊瑙掑害鍑哄彂,鍒嗗埆寮曞叆浜哅orans I绌洪棿鑷浉鍏崇郴鏁板拰鏍囧噯鍋忓樊妞渾鐢ㄤ簬璇勪环GCP娈嬪樊鐨勯殢鏈烘�у拰鏂瑰悜鎬с�傛ā鎷熷疄楠岀粨鏋滆〃鏄�,Morans I鍜屾爣鍑嗗亸宸き鍦嗗彲鐢ㄤ簬瀹氶噺琛￠噺GCP娈嬪樊鐨勭┖闂撮殢鏈烘�у拰鍒嗗竷鏂瑰悜鎬�,浠庤�屾洿娣卞叆鍦板垎鏋愬嚑浣曟牎姝ｇ殑鏁堟灉,鎸囧閫夋嫨鎭板綋鐨勬牎姝ｆā鍨�,鎻愰珮褰卞儚鏍℃鐨勭簿搴︺��

鍏抽敭璇�: 浜ゅ弶楠岃瘉娉�, Morans I, 鏍囧噯鍋忓樊妞渾, 娈嬪樊鍒嗘瀽, 鍑犱綍鏍℃

Abstract:

Prior to multiple\|sources remote sensing data analysis and applications,a quality assessment of geometric correction or registration is needed.Traditional position accuracy assessment is root\|mean\|square error (RMSE),which is easy to calculate.However,it can not describe the spatial distribution characteristics of GCP residuals after geometric correction or registration.In this paper,cross validation is employed here to overcome traditional RMSE limitations.Furthermore,to assess the spatial characteristics of GCP residuals,Moran's 顎奍顎� is adopted to test the spatial independent of GCP residuals,and standard deviational ellipse is introduced to measure the distribution trend and investigated the spatial isotropy or anisotropy for a set of GCP residuals points.Simulation experiments show that with the aid of those measurements,it can be insight into the principle of transformation function and help users to select an appropriate correction model to improve both accuracy of remote sensing image geometric correction.

Key words: Cross validation, Morans I, Standard deviational ellipse, Residual analysis, Geometric correction

涓浘鍒嗙被鍙�:

TP 75

鐜嬫睙娴�,钁涘拸. 閬ユ劅褰卞儚鍑犱綍鏍℃鐨凣CP娈嬪樊妯℃嫙鍒嗘瀽[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2011, 26(2): 226-232.

WANG Jiang-hao,GE Yong顎�. Simulation Analysis of GCP Residuals in the Remote Sensing Image Registration[J]. Remote Sensing Technology and Application, 2011, 26(2): 226-232.

鍙傝�冩枃鐚�

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锛�2锛紽oody G M.Status of Land Cover Classification Accuracy Assessment锛籎锛�.Remote Sensing of Environment,2002,80(1):185-201.顎�

锛�3锛紺ressie N A C.Statistics for Spatial Data锛籑锛�.New York:John Wiley,1991.

锛�4锛紹uiten H J,Putten B V.Quality Assessment of Remote Sensing Image Registration\|Analysis and Testing of Control Point Residuals锛籎锛�.ISPRS Journal of Photogrammetry and Remote Sensing,1997,52(2):57-73.

锛�5锛紺arlos V,Giuliano M,Dalto R,et al.Visualizing Positional Uncertainties of Geometric Corrected Remote Sensing Images锛籆锛�//Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences,Shanghai,China,2008:327-334.

锛�6锛紸rmston J D,Danaher T J,Goulevitch B M,et al.Geometric Correction of Landsat MSS,TM,and ETM+ Imagery for Mapping of Woody Vegetation Cover and Change Detection锛籆锛�//Queensland Proceedings 11th Australasian Remote Sensing and Photogrammetry Conference,Brisbane,2002.顎�

锛�7锛紾lasbey C A,Mardia K V.A Review of Image\|warping Methods锛籎锛�.Journal of Applied Statistics,1998,25(2):155-171.

锛�8锛絋outin T.Geometric Processing of Remote Sensing Images:Models,Algorithms and Methods锛籎锛�.International Journal of Remote Sensing,2004,25(10):1893-1924.顎�

锛�9锛紹rovelli M A,Crespi M,Fratarcangeli F,et al.Accuracy Assessment of High Resolution Satellite Imagery Orientation by Leave\|one\|out Method锛籎锛�.ISPRS Journal of Photogrammetry and Remote Sensing,2008,63(4):427-440.

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閬ユ劅褰卞儚鍑犱綍鏍℃鐨凣CP娈嬪樊妯℃嫙鍒嗘瀽

Simulation Analysis of GCP Residuals in the Remote Sensing Image Registration

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