hsimatlab代码-FHT:Matlab实现FHT
hsi
matlab代码Matlab实施的“利用空间和光谱注意力进行快速高光谱跟踪（FHT）
”及改进版“快速鲁棒高光谱视频跟踪算法（FRHT）
”
安装
下载资源库。
运行compile.m命令来编译mex文件：将opencv_include和opencv_libpath设置为正确的opencv_libpath路径。
使用evaluate_FHT.m脚本来可视化跟踪器。
将tracker_path变量设置为源代码所在的目录，并将base_path设置为您存储HSI序列的目录。
要使用FRHT，请在read_default_csr_parameters
hgray设置parameters.feature_type以使用一个通道的灰度功能，并设置parameters.use_PSR
True。
数据集
在（key：n616）下载Whisper数据集。
项目总结
与可见图像相比，HyperSpectral
Images（HSI）可以利用丰富的光谱信息来更好地将前景对象与复杂背景区分开。
尽管性能不断提高，但HSI跟踪器在处理高维HSI数据时总是很慢。
在本文中，我们提出了一种在基于相关滤波
文件下载
资源详情
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