I am going to classify multispectral remote sensing image using SVM .

4 次查看（过去 30 天）
Priyanka Athawale
Priyanka Athawale 2014-4-11
评论： Vijaya pardha saradhi Tummala 2018-5-9
I have written a code for classifying three crops using SVM training , The three crops are cotton ,wheat and gram. Now to get more accuracy I want to optimize the training data using genetic algorithm then I wish to train the optimized data using SVM train and then want the classification result . First want to compare the result with simple SVM algorithm , I am attaching the codes here please help me to correct that code so that i could get the better kappa coefficient .ore if u suggest some other parameters of comparison of two techniques . One more thing is please suggest me how to use kernels in SVMtrain instruction ..!

请先登录，再回答此问题。

采纳的回答

Shashank Prasanna
Shashank Prasanna 2014-4-11
The following section in the documentation shows how you can use cross validation to tune your svm parameters using optimization:
http://www.mathworks.com/help/stats/support-vector-machines-svm.html#bsr5o1q
Go through the examples and how-to's in this link, that should answer most of your questions:
http://www.mathworks.com/help/stats/support-vector-machines.html
  1 个评论
Priyanka Athawale
Priyanka Athawale 2014-4-12
Thank u sir , will u please explain me how can I use this in my program ?? and can validation help me to calculate accuracy of the classifier ?

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Classification Ensembles 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by