顾及面积和位置差异的高分遥感影像分割质量评价方法

doi:10.11873/j.issn.1004-0323.2016.1.0186

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2016, Vol. 31 鈥衡�� Issue (1): 186-193.DOI: 10.11873/j.issn.1004-0323.2016.1.0186

鈥� 鏁版嵁涓庡浘鍍忓鐞� 鈥� 涓婁竴绡� 涓嬩竴绡�

椤惧強闈㈢Н鍜屼綅缃樊寮傜殑楂樺垎閬ユ劅褰卞儚鍒嗗壊璐ㄩ噺璇勪环鏂规硶顎�

姣涘彫姝�,绋嬬粨娴�,琚佸崰鑹�

(娌冲崡鐞嗗伐澶у娴嬬粯涓庡浗鍦熶俊鎭伐绋嬪闄�,娌冲崡鐒︿綔454003)

鏀剁鏃ユ湡:2014-12-05 淇洖鏃ユ湡:2015-03-14 鍑虹増鏃ユ湡:2016-02-20 鍙戝竷鏃ユ湡:2016-04-05
閫氳浣滆��: 绋嬬粨娴凤紙1980-锛夛紝鐢凤紝瀹夊窘澶箹浜猴紝鍓暀鎺堬紝鍗氬＋,涓昏浠庝簨绌洪棿淇℃伅鍒嗘瀽涓庝笉纭畾鎬х爺绌躲�侲mail:chengjiehai@gmail.com銆�
浣滆�呯畝浠�:姣涘彫姝︼紙1990-锛夛紝鐢凤紝瀹夊窘鑲ヨタ浜猴紝纭曞＋鐮旂┒鐢�,涓昏浠庝簨楂樺垎閬ユ劅淇℃伅鎻愬彇鏂归潰鐨勭爺绌躲�侲mail:mzhw1990@163.com銆�
鍩洪噾璧勫姪:
鍥藉鑷劧绉戝鍩洪噾椤圭洰锛�41271347锛夛紝娌冲崡鐪佹暀鑲插巺绉戝鎶�鏈噸鐐圭爺绌堕」鐩紙14A420004锛夛紝娌冲崡鐪侀珮鏍″熀鏈鐮斾笟鍔¤垂涓撻」璧勯噾璧勫姪(NSFRF140114),娌冲崡鐞嗗伐澶у鍗氬＋鍩洪噾椤圭洰锛圔2014\|014锛夈��

A Method to Assessing the Segmentation Quality of High-spatial Resolution Remote Sensing Images by Considering Area and Position Discrepancies

Mao Zhaowu,Cheng Jiehai,Yuan Zhanliang

(School of Surveying & Land Information Engineering,顎�
Henan Polytechnic University,Jiaozuo 454003,China)

Received:2014-12-05 Revised:2015-03-14 Online:2016-02-20 Published:2016-04-05

鎽樿/Abstract

鎽樿锛�

楂樺垎閬ユ劅褰卞儚鍒嗗壊璐ㄩ噺瀵归潰鍚戝璞″垎绫荤簿搴︽湁鐫�閲嶈鐨勫奖鍝�,鑹ソ鐨勫奖鍍忓垎鍓茶川閲忔湁鍒╀簬寰楀埌杈冮珮鐨勫垎绫荤簿搴︺�傚楂樺垎閬ユ劅褰卞儚鍒嗗壊璐ㄩ噺杩涜璇勪环,浠庤�屾壘鍒版渶浼樼殑鍒嗗壊缁撴灉灏辨樉寰楀崄鍒嗛噸瑕併�傞�氳繃瀵规瘮鍙傝�冨璞″拰鍒嗗壊瀵硅薄涔嬮棿鐨勯潰绉拰浣嶇疆宸紓,鎻愬嚭浜嗕竴绉嶆柊鐨勯珮鍒嗛仴鎰熷奖鍍忓垎鍓茶川閲忚瘎浠锋柟娉曘�傚皢璇ヨ瘎浠锋柟娉曞簲鐢ㄤ簬GeoEye\|1楂樺垎閬ユ劅褰卞儚鍒嗗壊璐ㄩ噺璇勪环,璇曢獙缁撴灉琛ㄦ槑:璇ヨ瘎浠锋柟娉曡兘瀹㈣鍦拌瘎浠峰奖鍍忓垎鍓茶川閲�,鎵�寰楀埌鐨勬渶浼樺垎鍓茬粨鏋滀笌鍙傝�冨璞¤竟鐣屽尮閰嶇▼搴﹂珮,鏈夊埄浜庡奖鍍忓悗缁殑鍒嗙被銆�

鍏抽敭璇�: 楂樺垎閬ユ劅褰卞儚, 鍒嗗壊璐ㄩ噺璇勪环, 闈㈢Н宸紓, 浣嶇疆宸紓

Abstract:

The segmentation quality of high\|spatial resolution remote\|sensing images has a significantly impact on image classification accuracy.The better image segmentation results will facilitate to get higher classification accuracy.Therefore,it’s necessary to obtain optimal segmentation results by assessing image segmentation quality.A method for assessing the segmentation of high\|spatial resolution remote\|sensing images is proposed by measuring both area and position discrepancies between reference image and segmented image in this paper.This method has been applied to assess the segmentation result quality of image from GeoEye\|1 satellite.The experimental results show that this new method can objectively assess the image segmentation quality,and with the high matching degree of boundary between the obtained optimal segmentation results and reference image is benefit for subsequent image classification.

Key words: High-spatial resolution remote sensing images, Segmentation quality assessment, Area discrepancy, Position discrepancy

涓浘鍒嗙被鍙�:

TP 751.1

姣涘彫姝�,绋嬬粨娴�,琚佸崰鑹�. 椤惧強闈㈢Н鍜屼綅缃樊寮傜殑楂樺垎閬ユ劅褰卞儚鍒嗗壊璐ㄩ噺璇勪环鏂规硶顎僛J]. 閬ユ劅鎶�鏈笌搴旂敤, 2016, 31(1): 186-193.

Mao Zhaowu,Cheng Jiehai,Yuan Zhanliang. A Method to Assessing the Segmentation Quality of High-spatial Resolution Remote Sensing Images by Considering Area and Position Discrepancies[J]. Remote Sensing Technology and Application, 2016, 31(1): 186-193.

鍙傝�冩枃鐚�

锛�1锛紾ong Peng,Li Xia,Xu Bing.Interpretation Theory and Application Method Development for Information Extraction from High Resolution Remotely Sensed Data锛籎锛�.Journal of Remote Sensing,2006,10(1):1-5.锛诲楣�,榛庡,寰愬啺.楂樺垎杈ㄧ巼褰卞儚瑙ｈ瘧鐞嗚涓庡簲鐢ㄦ柟娉曚腑鐨勪竴浜涚爺绌堕棶棰橈蓟J锛�.閬ユ劅瀛︽姤,2006,10(1):1-5.锛筋��

锛�2锛絃iu顎� Jianhua,Mao Zhengyuan.A Survey on Segmentation Techniques and Application Strateggy of High Spatial Resolution Remote Sensing Imagery锛籎锛�.Remote Sensing Informstion,2009,(6):95-101.锛诲垬寤哄崕,姣涙斂鍏�.楂樼┖闂村垎杈ㄧ巼閬ユ劅褰卞儚鍒嗗壊鏂规硶鐮旂┒缁艰堪锛籎锛�.閬ユ劅淇℃伅,2009,(6):95-101.锛筋��

锛�3锛絑hang顎� Bo.The Multiscale Classification Method of High Resolution Remote Sensing锛籇锛�.Chengdu:University of Electronic Science and Technology of China,2013.锛诲紶鍗�.楂樺垎杈ㄧ巼閬ユ劅褰卞儚澶氬昂搴﹀垎绫绘柟娉曠爺绌讹蓟D锛�.鎴愰兘:鐢靛瓙绉戞妧澶у,2013.锛筋��

锛�4锛絃u D,Weng Q.A Survey of Image Classification Methods and Techniques for Improving Classification Performance锛籎锛�.International Journal of Remote Sensing,2007,28(5):823-870.顎�

锛�5锛紹laschke顎� T,Lang S,Lorup E,顎奺t al顎�.Object-oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications锛籎锛�.Environmental Information for Planning,Politics and the Public,2000,2:555-570.顎�

锛�6锛紹enz U C,Hofmann P,Willhauck G,顎奺t al顎�.Multi-resolution,Object-oriented Fuzzy Analysis of Remote Sensing Data for GIS-ready Information锛籎锛�.ISPRS Journal of Photogrammetry and Remote Sensing,2004,58(3):239-258.顎�

锛�7锛紽u Zhuo,Hu Jiping,Tan Qulin,顎奺t al顎�.The Methods of Image Segmentation on Application and Analysis of Remote Sensing Image锛籎锛�.Remote Sensing Technology and Application,2006,21(5):456-462.锛讳粯鍗�,鑳″悏骞�,璋、闇�,绛�.閬ユ劅搴旂敤鍒嗘瀽涓奖鍍忓垎鍓叉柟娉曪蓟J锛�.閬ユ劅搴旂敤涓庢妧鏈�,2006,21(5):456-462.锛筋��

锛�8锛紿uang Huiping.Scale Issues in Object-oriented Image Analysis锛籇锛�.Beijing:Institute of Remote Sensing Applications,Chinese Academy of Sciences,2003.锛婚粍鎯犺悕.闈㈠悜瀵硅薄褰卞儚鍒嗘瀽涓殑灏哄害闂鐮旂┒锛籇锛�.鍖椾含:涓浗绉戝闄㈤仴鎰熷簲鐢ㄧ爺绌舵墍,2003.锛筋��

锛�9锛紺arleer A P,Debeir O,Wolff E.Assessment of Very High Spatial Resolution Satellite Image Segmentations锛籎锛�.Photogrammetric Engineering & Remote Sensing,2005,71(11):1285-1294.顎�

锛�10锛絃ang顎� S,Sch顣畃fer E,Langanke T.Combined Object-based Classification and Manual Interpretation-synergies for A Quantitative Assessment of Parcels and Biotopes锛籎锛�.Geocarto International,2009,24(2):99-114.顎�

锛�11锛紺linton N,Holt A,Scarborough J,顎奺t al顎�.Accuracy Assessment Measures for Object-based Image Segmentation Goodness锛籎锛�.Photogrammetric Engineering and Remote Sensing,2010,76(3):289-299.顎�

锛�12锛絎eidner U.Contribution to the Assessment of Segmentation Quality for Remote Sensing Applications锛籎锛�.International Archives of Photogrammetry,Remote Sensing and Spatial Information Science,2008,37(B7):479-484.顎�

锛�13锛絅eubert M,Meinel G.Evaluation of Segmentation Programs for High Resolution Remote Sensing Applications锛籆锛�//Germany Proceedings the Joint ISPRS/EARSeL Workshop High Resolution Mapping from Space 2003.Hannover,2003.顎�

锛�14锛紹ie Qiang,He Lei,Zhao Chuanyan.Study on Vegetation Information Extraction based on Object-oriented Image Analysis锛籎锛�.Remote Sensing Technology and Application,2014,29(1):164-171.锛诲埆寮�,浣曠,璧典紶鐕�.鍩轰簬褰卞儚铻嶅悎鍜岄潰鍚戝璞℃妧鏈殑妞嶈淇℃伅鎻愬彇鐮旂┒锛籎锛�.閬ユ劅鎶�鏈笌搴旂敤,2014,29(1):164-171.锛筋��

锛�15锛絑hang Y J.A Survey on Evaluation Methods for Image Segmentation锛籎锛�.Pattern Recognition Letters,1996,29(8):1335-1346.顎�

锛�16锛絑hang H,Fritts J E,Goldman S A.Image Segmentation Evaluation:A Survey of Unsupervised Methods锛籎锛�.Computer Vision and Image Understanding,2008,110(2):260-280.顎�

锛�17锛紺heng J H,Bo Y C,Zhu Y X,顎奺t al顎�.A Novel Method for Assessing the Segmentation Quality of High-spatial Resolution Remote-sensing Images锛籎锛�.International Journal of Remote Sensing,2014,35(10):3861-3839.顎�

锛�18锛組顣甽ler M,Lymburner L,Volk M.The Comparison Index:A Tool for Assessing the Accuracy of Image Segmentation锛籎锛�.International Journal of Applied Earth Observation and Geoinformation,2007,9(3):311-321.顎�

锛�19锛絃ucieer A,Stein A.Existential Uncertainty of Spatial Objects Segmented from Satellite Sensor Imagery锛籎锛�.IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2518-2521.顎�

锛�20锛絑han Q,Molenaar M,Tempfli K,顎奺t al顎�.Quality Assessment for Geo-spatial Objects Derived from Remotely Sensed Data锛籎锛�.International Journal of Remote Sensing,2005,26(14):2953-2974.顎�

锛�21锛紺hen Qiuxiao,Chen Shupeng,Zhou Chenghu.Segmentation Approach for Remote Sensing Image based on Local Homogeneity Gradient and Its Evaluation锛籎锛�.Journal of Remote Sensing,2006,10(3):357-365.锛婚檲绉嬫檽,闄堣堪褰�,鍛ㄦ垚铏�.鍩轰簬灞�鍩熷悓璐ㄦ�ф搴︾殑閬ユ劅鍥惧儚鍒嗗壊鏂规硶鍙婂叾璇勪环锛籎锛�.閬ユ劅瀛︽姤,2006,10(3):357-365.锛�

[1]	寰愪腹,鏋楁枃楣�,椹竻. 鍩轰簬鏈哄櫒瀛︿範鐨勬鎴峰尯璇嗗埆搴旂敤鈥斺�斾互涓婃捣妫氭埛鍖轰负渚�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2023, 38(4): 990-1002.
[2]	绁濅竴璇�,楂樺┓,鐜嬫湳涓�,鍛ㄧ,鏉滄槑涔�. 鍩轰簬杩佺Щ瀛︿範鍐嶈缁冩ā鍨嬪拰楂樺垎閬ユ劅鏁版嵁鐨勫缓绛戝瀮鍦捐嚜鍔ㄨ瘑鍒柟娉�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2021, 36(2): 314-323.

椤惧強闈㈢Н鍜屼綅缃樊寮傜殑楂樺垎閬ユ劅褰卞儚鍒嗗壊璐ㄩ噺璇勪环鏂规硶顎�

A Method to Assessing the Segmentation Quality of High-spatial Resolution Remote Sensing Images by Considering Area and Position Discrepancies

PDF (PC)

鍙鍖�

鎽樿/Abstract

寮曠敤鏈枃

浣跨敤鏈枃

鍙傝�冩枃鐚�

鐩稿叧鏂囩珷 2

缂栬緫鎺ㄨ崘

Metrics

鏈枃璇勪环