-
1. Download the version you want:
* Version 1.3.4 (30 Aug 2007)
1. Download the version you want:
* Version 1.3.4 (30 Aug 2007) -- this is the latest version for UNIX/Linux and Windows
* Previous versions
2. Unzip the file, which will create a directory called klt and place all the files there
3. Compile and run the code
* On UNIX / Linux, move to the klt directory, type make. Now try some examples, by typing example1, etc.
* For Microsoft Visual C++ 6.0, open the klt.dsw file, compile, and run. Change the constant in main.cpp to run the different examples.
* For Microsoft Visual Studio .Net/7/8, open the klt.sln file, compile, and run. Change the constant in main.cpp to run the different examples.
4. Notice that, for your convenience, unofficial copies of the User and Reference Manuals can be found in the doc directory. - 1. Download the version you want:
* Version 1.3.4 (30 Aug 2007) -- this is the latest version for UNIX/Linux and Windows
* Previous versions
2. Unzip the file, which will cr
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由于SAR和可见光成象传感器图象的物理特征不同,因此进行匹配难度很大.本文在深入分析了这两种传感器图象物理特征的基础上,提出了一种图象匹配的新方法.该方法运用形态学滤波方法去除SAR图象斑点噪声,利用图象的边缘特征进行匹配,并采用多分辨率分级搜索技术减少计算量,在对实验结果进行分析的基础上提出了搜索真实匹配位置的准则,大大提高了匹配的准确率.通过实验对SAR图象斑点噪声滤波和SAR与可见光
图象匹配算法进行了验证,实验证明本算法的SAR图象去噪效果明显优于传统的Frost方法,图象匹配精度高、稳定性好.-err
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