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EE37 Classifiers.docx
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Google Earth Engine 初学者教程,是非常基础的教学资料,适合新手小白来快速上手GEE,所有的培训数据文档包括了38个基础教程,从最基础的影像和像素到GEE中用到的时间、数组、列表,再到GEE的各类对象含有更富的教学内容,,整个内容权威英文版本,但是通俗易懂。
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GOOGLE EARTH ENGINE APPLICATION PROGRAMMING INTERFACE CAPABILITIES
PROCESSING CLASSIFIER PARAMETERS
A classifier is an Earth Engine parameter object that represents a set of rules by which pixels are grouped, according to their values
on the bands of satellite images, such that each group includes pixels that are likely to represent a particular geographical condition.
Classifiers can be processed by using operations of the types listed below.
CREATING CLASSIFIERS ee.Classifier.mahalanobis
ee.Classifier.naiveBayes ee.Classifier.continuousNaiveBayes
ee.Classifier.perceptron ee.Classifier.ikpamir
ee.Classifier.winnow ee.Classifier.gmoMaxEnt ee.Classifier.randomForest
ee.Classifier.pegasosGaussian ee.Classifier.pegasosLinear ee.Classifier.pegasosPolynomial
ee.Classifier.svm ee.Classifier.cart
TRAINING CLASSIFIERS classifier.train image.trainClassifier featureCollection.trainClassifier
EDITING CLASSIFIERS classifier.setOutputMode
DESCRIBING CLASSIFIERS classifier.mode classifier.schema classifier.explain
classifier.confusionMatrix
DOCUMENTING CLASSIFIERS classifier.getInfo ee.Algorithms.Describe(classifier)
classifier.toString classifier.serialize
PRESENTING CLASSIFIERS
IN PRINT print(classifier) console.log(classifier)
alert(classifier) confirm(classifier)
![](https://csdnimg.cn/release/download_crawler_static/88821994/bg2.jpg)
GOOGLE EARTH ENGINE APPLICATION PROGRAMMING INTERFACE CAPABILITIES
CREATING CLASSIFIER PARAMETERS
ee.Classifier.mahalanobis creates a new and empty Mahalanobis Distance classifier.
newClassifier = ee.Classifier.mahalanobis( )
var TheCLASSIFIER = ee.Classifier.mahalanobis( );
print( TheCLASSIFIER );
The new classifier
![](https://csdnimg.cn/release/download_crawler_static/88821994/bg3.jpg)
GOOGLE EARTH ENGINE APPLICATION PROGRAMMING INTERFACE CAPABILITIES
CREATING CLASSIFIER PARAMETERS
ee.Classifier.naiveBayes creates a new and empty Fast Naïve Bayes classifier.
newClassifier = ee.Classifier.naiveBayes( lambda )
var
ADD EXAMPLE
The new classifier
A floating-point “lambda” value used to generate ( as lambda / lambda * number of training features ) an alternative to zero
in representing the probability of encountering classes that are not present in the training set . Default: 0.000001
![](https://csdnimg.cn/release/download_crawler_static/88821994/bg4.jpg)
GOOGLE EARTH ENGINE APPLICATION PROGRAMMING INTERFACE CAPABILITIES
CREATING CLASSIFIER PARAMETERS
ee.Classifier.continuousNaiveBayes creates a new and empty Continuous Naïve Bayes classifier.
newClassifier = ee.Classifier.continuoudNaiveBayes( lambda )
var
ADD EXAMPLE
The new classifier
A floating-point “lambda” value used to generate ( as lambda / lambda * number of training features ) an alternative to zero
in representing the probability of encountering classes that are not present in the training set . Default: 0.001
![](https://csdnimg.cn/release/download_crawler_static/88821994/bg5.jpg)
GOOGLE EARTH ENGINE APPLICATION PROGRAMMING INTERFACE CAPABILITIES
CREATING CLASSIFIER PARAMETERS
ee.Classifier.perceptron creates a new and empty “Perceptron” classifier as described by Daume.
newClassifier = ee.Classifier.perceptron( numberOfEpochs. averaged? )
var
ADD EXAMPLE
The new
classifier
A Boolean set to true (only) if an averaged
perceptron is to be used. Default: true
A specified maximum number of training
epochs, given as an integer. Default: 5
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