CDN加速镜像 | 设为首页 | 加入收藏夹
登陆 | 会员注册
当前位置： 首页 资源下载 源码下载 Windows编程 其他小程序
收藏

文件名称:hyperspectral-classification-with-svm-master

  • 所属分类：
    其他
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2019-03-21
  • 文件大小：
    12.95mb
  • 已下载：
    1次
  • 提 供 者：
    li***
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

svm高光谱图像分类3D-CNN Hyperspectral Image Classification(svmHyperspectral Image Classification)
相关搜索： 高光普svm分类

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
hyperspectral-classification-with-svm-master 0 2017-12-12
hyperspectral-classification-with-svm-master\.gitattributes 42 2017-12-12
hyperspectral-classification-with-svm-master\2013_DFC_contest.mat 134 2017-12-12
hyperspectral-classification-with-svm-master\README.md 210 2017-12-12
hyperspectral-classification-with-svm-master\add_class_legend.m 880 2017-12-12
hyperspectral-classification-with-svm-master\baseline.mat 128 2017-12-12
hyperspectral-classification-with-svm-master\cross_validate.m 5240 2017-12-12
hyperspectral-classification-with-svm-master\figures 0 2017-12-12
hyperspectral-classification-with-svm-master\figures\base_kernel_selection.png 38902 2017-12-12
hyperspectral-classification-with-svm-master\figures\baseline.png 387701 2017-12-12
hyperspectral-classification-with-svm-master\figures\baseline_mode.png 226177 2017-12-12
hyperspectral-classification-with-svm-master\figures\confusion.png 116748 2017-12-12
hyperspectral-classification-with-svm-master\figures\kernel_selection.png 21714 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca 0 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\componenets.png 51720 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\cv.mat 129 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\explained.png 35729 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\filtered.png 1429864 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\ls.png 504373 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\ls_mode.png 327782 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\projection.png 166783 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\svm.png 516554 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\svm_mode.png 338122 2017-12-12
hyperspectral-classification-with-svm-master\figures\none_nolidar_noentropy_pca\total_explained.png 35729 2017-12-12
hyperspectral-classification-with-svm-master\figures\pca_err.png 20288 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca 0 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\cv.mat 128 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\explained.png 35249 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\filtered.png 466677 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\ls.png 141764 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\ls_mode.png 141354 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\projection.png 89132 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\svm.png 176248 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\svm_mode.png 142089 2017-12-12
hyperspectral-classification-with-svm-master\figures\wiener_nolidar_noentropy_pca\total_explained.png 35496 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\2013_IEEE_GRSS_DF_Contest_Samples_TR.roi 11972 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\2013_IEEE_GRSS_DF_Contest_Samples_TR.txt 154500 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\ROIread.m 6184 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\__2013_IEEE_GRSS_DF_Contest_Samples_TR.roi 4096 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\__2013_IEEE_GRSS_DF_Contest_Samples_TR.txt 4096 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\commercial.txt 10124 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\commercial.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\grass_healthy.txt 10494 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\grass_healthy.txt~ 20696 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\grass_stressed.txt 10070 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\grass_stressed.txt~ 10065 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\grass_synthetic.txt~ 20067 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\highway.txt 10123 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\highway.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\parkinglot1.txt 10176 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\parkinglot1.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\parkinglot2.txt 9752 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\parkinglot2.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\railway.txt 9594 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\railway.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\read_classes.asv 4297 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\read_classes.m 4525 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\residential.txt 10389 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\residential.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\road.txt 10229 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\road.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\running_track.txt 9724 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\running_track.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\soil.txt 9859 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\soil.txt~ 38164 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\tennis_court.txt 9412 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\tennis_court.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\tree.txt 9964 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\tree.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\water.txt 9647 2017-12-12
hyperspectral-classification-with-svm-master\ground_truth\water.txt~ 0 2017-12-12
hyperspectral-classification-with-svm-master\hyperspectral-image-classification.pdf 8243926 2017-12-12
hyperspectral-classification-with-svm-master\kerMatrix.m 695 2017-12-12
hyperspectral-classification-with-svm-master\main.m 10194 2017-12-12
hyperspectral-classification-with-svm-master\multi_ls.m 2251 2017-12-12
hyperspectral-classification-with-svm-master\multi_svm.m 2496 2017-12-12
hyperspectral-classification-with-svm-master\read_classes.m 2570 2017-12-12
hyperspectral-classification-with-svm-master\rescale.m 168 2017-12-12

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 搜珍网是交换下载平台，只提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。更多...
  • 本站已设置防盗链，请勿用迅雷、QQ旋风等下载软件下载资源，下载后用WinRAR最新版进行解压.
  • 如果您发现内容无法下载，请稍后再次尝试；或换浏览器；或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
  • 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
查看所有评论

相关评论

暂无评论内容．

发表评论

*快速评论： 推荐 一般 有密码 和说明不符 不是源码或资料 文件不全 不能解压 纯粹是垃圾
*内　　容：
*验 证 码：
搜珍网 www.dssz.com