change_dection
所属分类：图形图像处理
开发工具：matlab
文件大小：4403KB
下载次数：103
上传日期：2015-12-22 10:01:47
上 传 者：
jiageskd
说明： 影像的变化检测 集合了3种变化强度影像，并用3种阈值检测方法确定变化区域 效果很好
(image change detection CVA SGD and Linear sum，using EM iteration and all therold)
文件列表:
change_dection\0.2SGD+0.8CVA融合\0.2mergeT.bmp (236278, 2015-12-20)
change_dection\0.2SGD+0.8CVA融合\0.2mergeT.tif (356225, 2015-12-17)
change_dection\0.2SGD+0.8CVA融合\0.2mergeT.tif.enp (90588, 2015-12-17)
change_dection\0.2SGD+0.8CVA融合\Adapt_T_0.2mergeT.tif (8890, 2015-12-20)
change_dection\0.2SGD+0.8CVA融合\All_T_0.2mergeT.tif (9016, 2015-12-20)
change_dection\0.2SGD+0.8CVA融合\Em_0.2T_0.2mergeT.tif (12116, 2015-12-20)
change_dection\0.2SGD+0.8CVA融合\Em_0.5T_0.2mergeT.tif (12116, 2015-12-20)
change_dection\0.2SGD+0.8CVA融合\Em_0.8T_0.2mergeT.tif (12116, 2015-12-20)
change_dection\0.2SGD+0.8CVA融合\Ostu_T_0.2mergeT.tif (7174, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\0.5mergeT.bmp (330778, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\0.5mergeT.tif (356225, 2015-12-17)
change_dection\0.5SGD+0.5CVA融合\0.5mergeT.tif.enp (90615, 2015-12-17)
change_dection\0.5SGD+0.5CVA融合\Adapt_T_0.5mergeT.tif (12314, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\All_T_0.5mergeT.tif (12938, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\Em_0.2T_0.5mergeT.tif (13152, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\Em_0.5T_0.5mergeT.tif (13152, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\Em_0.8T_0.5mergeT.tif (13152, 2015-12-20)
change_dection\0.5SGD+0.5CVA融合\Ostu_T_0.5mergeT.tif (7202, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\0.8mergeT.bmp (359926, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\0.8mergeT.tif (356225, 2015-12-17)
change_dection\0.8SGD+0.2CVA融合\0.8mergeT.tif.enp (90649, 2015-12-17)
change_dection\0.8SGD+0.2CVA融合\Adapt_T_0.8mergeT.tif (13946, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\All_T_0.8mergeT.tif (14122, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\Em_0.2T_0.8mergeT.tif (13488, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\Em_0.5T_0.8mergeT.tif (13488, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\Em_0.8T_0.8mergeT.tif (13488, 2015-12-20)
change_dection\0.8SGD+0.2CVA融合\Ostu_T_0.8mergeT.tif (7286, 2015-12-20)
change_dection\Change_Dection.m (4690, 2015-12-20)
change_dection\CVA\Adapt_T_CVA.tif (9748, 2015-12-20)
change_dection\CVA\All_T_CVA.tif (9888, 2015-12-20)
change_dection\CVA\CVA.bmp (236278, 2015-12-20)
change_dection\CVA\CVAT.tif (356225, 2015-12-17)
change_dection\CVA\CVAT.tif.enp (90680, 2015-12-17)
change_dection\CVA\Em_0.2T_CVA.tif (12182, 2015-12-20)
change_dection\CVA\Em_0.5T_CVA.tif (12182, 2015-12-20)
change_dection\CVA\Em_0.8T_CVA.tif (12182, 2015-12-20)
change_dection\CVA\Ostu_T_CVA.tif (8660, 2015-12-20)
change_dection\CVA.m (397, 2015-12-18)
change_dection\EM_Binary.m (2618, 2015-12-20)
change_dection\EM_Thers.m (533, 2015-12-20)
... ...
说明：
freadenvit.m /freadenvi.m是读入ENVI影像
CVA.m是计算CVA强度影像
SGDIMG.m是计算SGD强度影像
EM_Binary.m是利用EM算法计算变化类和未变化类的均值、方差、先验概率
EM_Thers.m是利用EM算法得到最终阈值
Change_Dection.m是包含5种阈值算法的主文件，
其中有：全阈值算法(All_T_) Ostu算法(Ostu_T) 自适应调整算法(Adapt_T)
还有三个调节因子不同的EM算法 调节因子分别为a=0.2 0.5 0.8
用这5个阈值方法 分别进行的CVA SGD 以及三种融合影像(0.2SGD+0.8CVA 0.5SGD+0.5CVA 0.8SGD+0.2CVA) 的变化检测
每个文件夹内的 .bmp图片 就是程序运行后的结果
变化检测的结果都在相应的文件夹内，感觉结果不是很理想，就没进行精度评价。师兄可以做一下精度评价
师兄 之后再有新的影像数据 改一下路径就可以直接调用函数，得到相应的结果。
我就先帮到师兄这里唠！ 有什么问题再找我。
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