Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2004, Vol. 19 Issue (6): 521-525    DOI: 10.11873/j.issn.1004-0323.2004.6.521
    
Expectation and Evaluation of the Methods on RemoteSensing Image Classifications
DU Feng-lan, TIAN Qing-jiu, XIA Xue-qi
(International Institute for Earth System Science,Nanjing University,Nanjing210093,China)
Download:  PDF (0KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

This paper is based on the concept and characteristic of Remote Sensing classifications, combining thepredecessors' fruits, then sums up all the methods (including traditional and new classifications, such as: objec-t-oriented, sub-pixel classification etc.), detailed analyzes and evaluates each of them. Afterwards, it attemptsto analyze the methods and the arithmetic of classifications, such as principles, effects, functions and limitedconditions. It also compares the excellence, the defects and adapting conditions of each method, and summa-rizes all of the methods in different views. Finally, summary and prospect are described, in order to give guid-ance to practical work.

Key words:  Remote sensing      Image      Classification      Object-oriented image classification      Sub-pixel classification     
Received:  20 May 2004      Published:  26 December 2011
TP 75  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

DU Feng-lan, TIAN Qing-jiu, XIA Xue-qi. Expectation and Evaluation of the Methods on RemoteSensing Image Classifications. Remote Sensing Technology and Application, 2004, 19(6): 521-525.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2004.6.521     OR     http://www.rsta.ac.cn/EN/Y2004/V19/I6/521

〔1〕 吕国楷,洪启旺,郝允充,等.遥感概论〔M〕.北京:高等教育出版社,1997.186~189.〔2〕 章孝灿,黄智才,赵元洪.遥感数字图像处理〔M〕.浙江:浙江大学出版社,1997.187~196.〔3〕 Baatz M, Schape A. Object-Oriented and Multi-Scale ImageAnalysis in Semantic Networks〔A〕. In: Proc. of the 2nd In-ternational Symposium on Operationalization of Remote SensingAugust 16th-20th 1999. Enschede. ITC.〔4〕 Tou J T, Gonzalez R C. Pattern Recognition Principles, Addison-Wesley Publishing Company〔M〕. Reading, Massachusetts,1974.〔5〕 Richards J A. Remote Sensing Digital Image Analysis, Springer-Verlag〔M〕. Berlin, 1994.340.〔6〕 Kruse F A, Lefkoff A B, Boardman J B,et al.The SpectralImage Processing System (SIPS)-Interactive Visualization andAnalysis of Imaging spectrometer Data〔J〕. Remote Sensing ofEnvironment, 1993,44:145~163.〔7〕 Mazer A S, Martin M, Lee M,et al.Image Processing Software for Imaging Spectrometry Analysis〔J〕. Remote Sensing of Environment, 1988,24(1):201~210.〔8〕 Carter P H. Texture Discrimination Using Wavelets〔J〕. InSPIE Application of Digital Image Processing XIV, 1991, 15(67):432~438.〔9〕 Laine A, Fan J. Texture Classification by Wavelet Packet Sig-natures〔J〕. IEEE Trans on Pattern Anal, And Machine Intell,1993,(11): 1186~1191.〔10〕 朱长青.小波滤波器及遥感影像分类〔J〕.解放军测绘学院学报,1997,14(1):32~36.〔11〕 朱长青,杨启和,朱文忠.基于小波变换特征的遥感地貌影像纹理分析和分类〔J〕.测绘学报,1996,13(4):17~23.〔12〕 Purnima Pandey, Suju M, George P,et al.Alternate NeuralNetwork Tools for Pattern Classification in Satellite Imageries〔J〕. National Environmental Engineering Research Institute.〔13〕 Tatem A J, Lewis H G, Atkinson P,et al. Super-resolutionTarget Identification from Remotely Sensed Images Using aHopfield Neural Network〔J〕. IEEE Transactions on Geo-science and Remote Sensing,2001, 39(4): 781~796.〔14〕 Gorte B. Probabilistic Segmentation of Remotely Sensed Images〔A〕. In: ITC Publication Series〔C〕.1998.63.〔15〕 Pierce E, Ulaby F T, Sarabandi K,et al. Knowledge-BasedClassification of Polarimetric SAR Images〔J〕. IEEE Transac-tions on Geosciences and Remote Sensing, 1994,32(5): 1081~1086.〔16〕 Hans Bandemer, WithSiegfried Gottwald. Fuzzy Sets, FuzzyLogic, Fuzzy Methods with Applications〔M〕. New York: Wi-ley Press New York, 1995.〔17〕 Cohen J. A Coefficient of Agreement for Nominal Scales,Edu〔J〕. Psychol Meas, 1960,(20):37~46.〔18〕 Congalton R G. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data〔J〕. Rem Sens Environ,1991,(37):35~46.〔19〕 Hellden U. A Test of Landsat-2 Imagery and Digital Data forThematic Mapping Illustrated by an Environmental Study inNorthern Kenya〔R〕. Sweden, Lund University Natural Geo-graphic Institute Report,1980.47.〔20〕 Rosenfield G H, Fitzpatrick-Lins K. A Coefficient of Agreement As a Measure of Thematic Classification Accuracy,Photogram. Eng〔J〕. Remote Sensing, 1986,52:223~227.〔21〕 Short N M. The Landsat Tutorical Workbook-basics of Satellite Remote Sensing Greenbelt, Md., Goddard Space FlightCenter〔R〕. NASA Reference Publication 1078, 1982.〔22〕 Bradley A P. The Use of the Area Under the ROC Curve in theEvaluation of Machine Learning Algorithms〔J〕. PatternRecognition, 1997,30(7):1145~1159.〔23〕 Jensen J R. Introductory Digital Image Processing: A Remote Sensing Perspective. Publisher: Prentice Hall〔M〕. Englewood Cliffs, New Jersey, 1986.〔24〕 Boardman J W. Inversion of Imaging Spectrometry Data Using Singular Value Decomposition〔J〕. Proceedings IGARSS' 89, 12th Canadian Symposium on Remote Sensing, 1989,(4):2069~2072.〔25〕 Boardman J W. Sedimentary Facies Analysis Using ImagingSpectrometry: A Geophysical Inverse Problem〔A〕. AVIRISWorkshop Proc., JPL Publication 91-28, Jet Propulsion Lab-oratory,Pasadena, CA, 1991.4~13.〔26〕 Boardman J W, Kruse F A, Green R O. Mapping Target Sig-natures Via Partial Unmixing of AVIRIS Data: in Summaries,Fifth JPL Airborne Earth Science Workshop〔R〕. JPL Publica-tion, 1995.23~26.〔27〕 Chen J Y, Reed I S. A Detection Algorithm for Optical Targetsin Clutter〔J〕. IEEE Trans on Aerosp Electron Syst,1987,(23):46~59.〔28〕 Harsanyi J C, Chang C I. Hyperspectral Image Classificationand Dimensionality Reduction: An Orthogonal Subspace Projec-tion Approach〔J〕. IEEE Transactions on Geoscience and Re-mote Sensing, 1994,(32):779~785.〔29〕 Stocker A, Reed I S, Yu X. Multidimensional Signal Processing for Electro-optical Target Detection〔J〕. Signal and DataProcessing of Small Targets, 1990,(1305):218~231.〔30〕 Yu X, Reed I S, Stocker A D. Comparative Performance Anal-ysis of Adaptive Multispectral Detectors〔J〕. IEEE Trans onSignal Processing, 2003,41(8):235~240.〔31〕 Aboelghar M, Tateishi R, Tsolmon R. Land-cover SubpixelClassification Using Linear Mixture Model on Landsat ETM+Data in EGYPT〔S〕. V8.3 User' s Guide, version 1.4.2〔32〕 Benham T, Wright G, Dunham R,et al.NOAA AVHRR Sub-pixel Snow Classification〔R〕. Erdas UK Users Group Meet-ing, Cambridge. September,1998.〔33〕 The IMAGINE Sub-pixel Modeler. Applied Analysis Inc.(1998) IMAGINE sub pixel Classifier TM〔S〕. ERDAS-V8.3 User' s Guide, version 1.4.2.〔34〕 NOAA AVHRR Sub-pixel Snow Classification〔A〕. ErdasUK Users Group Meeting, Cambridge〔C〕. September,1998.〔35〕 Martinec J. Snowmelt-Runoff Model for Stream Flow Forecasts〔J〕. Nordic Hydrol,1975,(3):145~154.〔36〕 刘庆生,刘高焕,刘素红.黄河口遥感图像光谱混合分解〔J〕.武汉大学学报,2001,(3):266~269.

No Suggested Reading articles found!