learnFeaturesRS-master
所属分类：WEB开发
开发工具：Visual C++
文件大小：294KB
下载次数：4
上传日期：2017-01-13 20:22:04
上 传 者：
潘小宜
说明： 较好的遥感分类代码，在国外网站下载的，可以成功运行，效果较好
(Hyperspectral related papers, mainly focused on mixed pixel decomposition related. Has great reference significance)
文件列表:
DEMO_PragueALI.m (12897, 2015-12-30)
LICENSE (1076, 2015-12-30)
normalizationValues.mat (199, 2015-12-30)
openMaskAndImage.m (717, 2015-12-30)
results (0, 2015-12-30)
results\seg10_1_1.png (45126, 2015-12-30)
results\seg1_1_1.png (3395, 2015-12-30)
results\seg2_1_1.png (13209, 2015-12-30)
results\seg3_1_1.png (32930, 2015-12-30)
results\seg4_1_1.png (23040, 2015-12-30)
results\seg5_1_1.png (37092, 2015-12-30)
results\seg6_1_1.png (35468, 2015-12-30)
results\seg7_1_1.png (37196, 2015-12-30)
results\seg8_1_1.png (28370, 2015-12-30)
results\seg9_1_1.png (38346, 2015-12-30)
# learnFeaturesRS
Demo of "Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM" on the The Prague Texture Segmentation Datagenerator and Benchmark - ALI dataset
To run the code, you need:
1. Download ALI dataset from: http://mosaic.utia.cas.cz/index.php?act=bench_form (select 'large (4x)' as your 'dataset size' and leave other options at their default values)
2. Unzip ALI dataset to any folder on your machine
3. Download and unzip http://remi.flamary.com/download/fl-rs-svm-2.1.zip
4. Place all the files inside the folder of 'fl-rs-svm-2.1'
5. Update the variable 'homeDir' to refer to ALI dataset
6. Run 'DEMO_PragueALI.m'
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