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REMOTE SENSING FOR LAND & RESOURCES    2007, Vol. 19 Issue (2) : 31-34     DOI: 10.6046/gtzyyg.2007.02.08
Technology and Methodology |
THEOBJECT-ORIENTEDHYPERSPECTRALIMAGECLASSIFICATIONBASEDONMULTIPLE FEATURESDURINGINFORMATIONFUSION
GUIDe-zhu 1,LIGang 1,2HANGCheng-cheng 1
1.CollegeofEnvironmentandSpatialInformatics,ChinaUniversityofMiningandTechnology,Xuzhou221008,China; 2.XuzhouLandResourcesBureau,Xuzhou221006,China
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Abstract  

 

Becauseofthehighdatadimensionalityofhyperspectraldata,itisverydifficultforconventionalmeth
odstoobtainsatisfactoryresultsinthestudyofimageclassificationformaterialsontheground.Intheprocessof
featureimagesextractionbasedoninformationfusion,anewmethodisputforward,whichcombinesimage
multifeatureinformationfusionwithvariousclassificationalgorithmstomakeobjectorientedhyperspectralimage
classification.Experimentsshowthatimagedatadimensionsarereducedandclassificationaccuracyisimproved.
Keywords Structures from remote sensing      Hydrocarbon anomaly      Comprehensive prediction     
: 

TP79:P56

 		 
Issue Date: 24 July 2009
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GUI De-Zhu, LI Gang, ZHANG Cheng-Cheng. THEOBJECT-ORIENTEDHYPERSPECTRALIMAGECLASSIFICATIONBASEDONMULTIPLE FEATURESDURINGINFORMATIONFUSION[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(2): 31-34.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.02.08     OR     https://www.gtzyyg.com/EN/Y2007/V19/I2/31
[1] Tan Qing, Wu Yajun, Chen Changsheng. THE EFFECT OF REMOTE SENSING AND GEOCHEMICAL EXPLORATION IN OIL AND GAS PREDICTION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1996, 8(4): 30-35.
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