資源簡介
matlab 本身自帶的SVM有缺陷,libsvm使用起來麻煩,本程序使得你只用兩行代碼就能搞定圖像的分類,簡單輕松。感興趣的可以下去試一下,因為代碼是本人研究課題中的一部分,暫時不方便公開,但大家可能方便地使用。如果有什么BUG,歡迎留言,我會進行更新。
代碼片段和文件信息
function?demo
clc
addpath(‘libsvm_win‘);
addpath(‘tensor_toolbox_2.4‘);
load(‘AVIRIS01.mat‘);
obj_svm?=?class_svm(HSI_DATA);
obj_svm.CLASSIFY_DEL_CLASSES?=?[17];%delete?the?background?class?17?is?the?index?of?this?class?which?can?be?found?in?‘classify_groundtruth.m‘
obj_svm?=?obj_svm.classify();
imshow(obj_svm.CLASSIFY_RESULT_IMG);
fprintf(‘OA?=?%d%%\n‘round(obj_svm.CLASSIFY_RESULT_OA*100));
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2012-09-14?19:28??svm_matlab\
?????目錄???????????0??2012-09-14?19:26??svm_matlab\@class_svm\
?????文件?????????456??2012-09-14?19:26??svm_matlab\@class_svm\calculate_criteria.p
?????文件?????????293??2012-09-14?19:26??svm_matlab\@class_svm\classify.p
?????文件?????????653??2012-09-14?19:26??svm_matlab\@class_svm\classify_check.p
?????文件?????????335??2012-09-14?19:26??svm_matlab\@class_svm\classify_core.p
?????文件?????????839??2012-09-14?19:26??svm_matlab\@class_svm\classify_groundtruth.p
?????文件?????????870??2012-09-14?19:26??svm_matlab\@class_svm\classify_train.p
?????文件?????????545??2012-09-14?19:26??svm_matlab\@class_svm\class_svm.p
?????文件????17762226??2012-09-14?17:11??svm_matlab\AVIRIS01.mat
?????目錄???????????0??2012-09-14?19:28??svm_matlab\config\
?????文件????????2383??2011-11-30?20:52??svm_matlab\config\ground_truth.png
?????文件?????????406??2012-09-14?18:03??svm_matlab\demo.m
?????目錄???????????0??2012-09-14?19:26??svm_matlab\libsvm_win\
?????文件??????140800??2011-11-05?12:35??svm_matlab\libsvm_win\libsvm.dll
?????文件????????8192??2011-11-05?12:35??svm_matlab\libsvm_win\libsvmread.mexw32
?????文件???????10752??2011-11-05?12:35??svm_matlab\libsvm_win\libsvmread.mexw64
?????文件????????7680??2011-11-05?12:35??svm_matlab\libsvm_win\libsvmwrite.mexw32
?????文件????????9216??2011-11-05?12:35??svm_matlab\libsvm_win\libsvmwrite.mexw64
?????文件??????107008??2011-11-05?12:35??svm_matlab\libsvm_win\svm-predict.exe
?????文件???????80384??2011-11-05?12:35??svm_matlab\libsvm_win\svm-scale.exe
?????文件??????140800??2011-11-05?12:35??svm_matlab\libsvm_win\svm-toy.exe
?????文件??????135680??2011-11-05?12:35??svm_matlab\libsvm_win\svm-train.exe
?????文件???????20480??2011-11-05?12:35??svm_matlab\libsvm_win\svmpredict.mexw32
?????文件???????24064??2011-11-05?12:35??svm_matlab\libsvm_win\svmpredict.mexw64
?????文件???????49152??2011-11-05?12:35??svm_matlab\libsvm_win\svmtrain.mexw32
?????文件???????62976??2011-11-05?12:35??svm_matlab\libsvm_win\svmtrain.mexw64
?????目錄???????????0??2012-09-14?19:26??svm_matlab\tensor_toolbox_2.4\
?????目錄???????????0??2012-09-14?19:26??svm_matlab\tensor_toolbox_2.4\@ktensor\
?????文件?????????296??2012-09-14?19:26??svm_matlab\tensor_toolbox_2.4\@ktensor\arrange.p
?????文件??????????46??2012-09-14?19:26??svm_matlab\tensor_toolbox_2.4\@ktensor\Contents.p
............此處省略275個文件信息
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