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This is a project to test the random sampling strategy in hyperspectral image classification.

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liangjiecn/ControlledRandomSampling

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tools
tools
 
 
.gitignore
.gitignore
 
 
ChangeRGB.m
ChangeRGB.m
 
 
KNNSpatialFeatureRandomSampling.m
KNNSpatialFeatureRandomSampling.m
 
 
KNNSpatialFeatureRandomSamplingFullMap.m
KNNSpatialFeatureRandomSamplingFullMap.m
 
 
LassoSpectralFeatureRandomSampling.m
LassoSpectralFeatureRandomSampling.m
 
 
LinearSVM3DDWTRandomSampling.m
LinearSVM3DDWTRandomSampling.m
 
 
LinearSVM3DDWTRegionSampling.m
LinearSVM3DDWTRegionSampling.m
 
 
LinearSVMMorphologyRandomSampling.m
LinearSVMMorphologyRandomSampling.m
 
 
LinearSVMMorphologyRegionSampling.m
LinearSVMMorphologyRegionSampling.m
 
 
LinearSVMSpectralFeatureRandomSampling.m
LinearSVMSpectralFeatureRandomSampling.m
 
 
LinearSVMSpectralFeatureRandomSamplingFullMap.m
LinearSVMSpectralFeatureRandomSamplingFullMap.m
 
 
LinearSVMSpectralFeatureRegionSampling.m
LinearSVMSpectralFeatureRegionSampling.m
 
 
NonlinearSVM3DDWTContinuousSampling.m
NonlinearSVM3DDWTContinuousSampling.m
 
 
NonlinearSVM3DDWTRandomSampling.m
NonlinearSVM3DDWTRandomSampling.m
 
 
NonlinearSVM3DDWTRegionSampling.m
NonlinearSVM3DDWTRegionSampling.m
 
 
NonlinearSVMMorphologyRandomSampling.m
NonlinearSVMMorphologyRandomSampling.m
 
 
NonlinearSVMMorphologyRegionSampling.m
NonlinearSVMMorphologyRegionSampling.m
 
 
NonlinearSVMSpatialFeatureRandomSampling.m
NonlinearSVMSpatialFeatureRandomSampling.m
 
 
NonlinearSVMSpatialFeatureRandomSamplingFullMap.m
NonlinearSVMSpatialFeatureRandomSamplingFullMap.m
 
 
NonlinearSVMSpectralFeatureContinuousSampling.m
NonlinearSVMSpectralFeatureContinuousSampling.m
 
 
NonlinearSVMSpectralFeatureRandomSampling.m
NonlinearSVMSpectralFeatureRandomSampling.m
 
 
NonlinearSVMSpectralFeatureRegionSampling.m
NonlinearSVMSpectralFeatureRegionSampling.m
 
 
README.md
README.md
 
 
RFC3DDWTRandomSampling.m
RFC3DDWTRandomSampling.m
 
 
RFC3DDWTRegionSampling.m
RFC3DDWTRegionSampling.m
 
 
RFCMorphologyRandomSampling.m
RFCMorphologyRandomSampling.m
 
 
RFCMorphologyRegionSampling.m
RFCMorphologyRegionSampling.m
 
 
RFCSpectralFeatureRandomSampling.m
RFCSpectralFeatureRandomSampling.m
 
 
RFCSpectralFeatureRegionSampling.m
RFCSpectralFeatureRegionSampling.m
 
 
assessment.m
assessment.m
 
 
batchRun.m
batchRun.m
 
 
batchTest.m
batchTest.m
 
 
betamixing.m
betamixing.m
 
 
betamixingFilters.m
betamixingFilters.m
 
 
corr.fig
corr.fig
 
 
corrfilter.fig
corrfilter.fig
 
 
createTrainingSamples.m
createTrainingSamples.m
 
 
drawOverlap.m
drawOverlap.m
 
 
dwt3d_feature.m
dwt3d_feature.m
 
 
explainOverlap.m
explainOverlap.m
 
 
explainOverlap2.m
explainOverlap2.m
 
 
explainOverlap_Indian.m
explainOverlap_Indian.m
 
 
gaussianrandom.fig
gaussianrandom.fig
 
 
gaussianregion.fig
gaussianregion.fig
 
 
listresults.m
listresults.m
 
 
mm.m
mm.m
 
 
normalise.m
normalise.m
 
 
testAccurancyWithGaussianFilterRandomSampling.m
testAccurancyWithGaussianFilterRandomSampling.m
 
 
testAccurancyWithGaussianFilterRandomSamplingPaviaU.m
testAccurancyWithGaussianFilterRandomSamplingPaviaU.m
 
 
testAccurancyWithGaussianFilterRandomSamplingPaviaU_Weka.m
testAccurancyWithGaussianFilterRandomSamplingPaviaU_Weka.m
 
 
testAccurancyWithGaussianFilterRandomSampling_Weka.m
testAccurancyWithGaussianFilterRandomSampling_Weka.m
 
 
testAccurancyWithGaussianFilterRegionSampling.m
testAccurancyWithGaussianFilterRegionSampling.m
 
 
testAccurancyWithGaussianFilterRegionSamplingPaviaU.m
testAccurancyWithGaussianFilterRegionSamplingPaviaU.m
 
 
testAccurancyWithGaussianFilterRegionSamplingPaviaU_Weka.m
testAccurancyWithGaussianFilterRegionSamplingPaviaU_Weka.m
 
 
testAccurancyWithGaussianFilterRegionSampling_Weka.m
testAccurancyWithGaussianFilterRegionSampling_Weka.m
 
 
testAccurancyWithMeanfilterRandomSampling.m
testAccurancyWithMeanfilterRandomSampling.m
 
 
testAccurancyWithMeanfilterRandomSamplingPaviaU.m
testAccurancyWithMeanfilterRandomSamplingPaviaU.m
 
 
testAccurancyWithMeanfilterRandomSamplingPaviaU_Weka.m
testAccurancyWithMeanfilterRandomSamplingPaviaU_Weka.m
 
 
testAccurancyWithMeanfilterRandomSampling_Weka.m
testAccurancyWithMeanfilterRandomSampling_Weka.m
 
 
testAccurancyWithMeanfilterRandomSampling_Weka2.m
testAccurancyWithMeanfilterRandomSampling_Weka2.m
 
 
testAccurancyWithMeanfilterRandomSampling_Weka4.m
testAccurancyWithMeanfilterRandomSampling_Weka4.m
 
 
testAccurancyWithMeanfilterRegionSampling.m
testAccurancyWithMeanfilterRegionSampling.m
 
 
testAccurancyWithMeanfilterRegionSamplingPaviaU.m
testAccurancyWithMeanfilterRegionSamplingPaviaU.m
 
 
testAccurancyWithMeanfilterRegionSamplingPaviaU_Weka.m
testAccurancyWithMeanfilterRegionSamplingPaviaU_Weka.m
 
 
testAccurancyWithMeanfilterRegionSampling_Weka.m
testAccurancyWithMeanfilterRegionSampling_Weka.m
 
 
testAccurancyWithMeanfilterRegionSampling_Weka2.m
testAccurancyWithMeanfilterRegionSampling_Weka2.m
 
 
testAccurancyWithMeanfilterRegionSampling_Weka4.m
testAccurancyWithMeanfilterRegionSampling_Weka4.m
 
 
testAccurancyWithNeighbourSize.m
testAccurancyWithNeighbourSize.m
 
 
testAccurancyWithandWithoutOverlap.m
testAccurancyWithandWithoutOverlap.m
 
 
testAccurancyWithandWithoutOverlap_fixedSamples.m
testAccurancyWithandWithoutOverlap_fixedSamples.m
 
 
testAccurancyWithoutOverlapping.m
testAccurancyWithoutOverlapping.m
 
 
testRandomSampling.m
testRandomSampling.m
 
 
testRegionSampling.m
testRegionSampling.m
 
 

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This is the program associated to my work "On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification". The data used in the paper can be found in baidu drive (please note that I do not own the data). Please contact me if you have further questions. Author: Jie Liang Email: [email protected]

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This is a project to test the random sampling strategy in hyperspectral image classification.

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