improve-EM

本程序主要实现低分辨率图像的超分辨率重建，有助于我们理解图像重建的过程和原理(This procedure is mainly to achieve super-resolution reconstruction of low-resolution images help us understand the process and principles of image reconstruction)

这个函数分配一个数据缓冲区与多个颜色指定系统上的乐队。这种类型的缓冲区允许表示彩色图像(例如,RGB)。 这个函数为每个指定分配缓冲区,一个二维表面颜色乐队。您可以使用MbufAlloc1d()和MbufAlloc2d()来创建单独的乐队一或二维 数据缓冲区,分别。 分配一个缓冲区后,我们建议您检查是否操作成功,使用MappGetError(),或通过验证,不是M_NULL返回的缓冲区的标识符。(This function allocates a data buffer with multiple color bands on the specified system. This type of buffer allows for the representation of color images (for example, RGB). This function allocates buffers that have a two-dimensional surface for each specified color band. You can use MbufAlloc1d() and MbufAlloc2d() to create single band one- or two-dimensional data buffers, respectively. After allocating a buffer, we recommend that you check if the operation was successful, using MappGetError(), or by verifying that the buffer identifier returned is not M_NULL.)

计算几何(C描述)第二版教材的配套程序,用C语言实现了本书的主要算法.(Computational geometry (C described) in the second edition of materials matching procedures, using C language to achieve the book)

说明：  使用小波、countlet、Lee等多种方式实现SAR图像去噪(use the wavelet,countlet,Lee achieve the denoising of SAR image)

用帧差法找出运动物体，并用形态学滤波恢复物体(Identify moving objects in frame difference method and morphological filtering restore objects)

这些是我看过的一下关于三维成像的很不错的文章，有机载前视三维成像，还有用于大视场红外扫描的三维成像的文章，都很不错(These are some article about 3D imaging I have seen. Some is about SAR forword-looking，and some is about laser real-time 3D imaging。)

说明：  在IDL中将.nc格式的数据读取并绘图，文件夹中附有示例数据。(Reading and drawing data in.Nc format in IDL)

生成拉盖尔函数、缔合拉盖尔函数，并根据这两个函数的解析表达式画出若干个拉盖尔-高斯光束模型(Generation of Laguerre functions, associative Laguerre functions, and according to the analytical expression of these two functions to draw a number of Laguerre- Gaussian beam model)

对于水下地形海洋SAR探测有兴趣的读者可以来看看，对你会有帮助的。(2000，Two-dimensional topography inversion of underwater bottom by using SAR imagery.pdf)

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)