HillClimbingSegment.1.0

实现了20000*20000以上的大tiff格式遥感图像的读写和显示，用于遥感图像处理(Achieve a 20,000* 20,000 or more large remote sensing image tiff format to read and write and display for remote sensing image processing)

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

将meanshift算法思想融入harris角点检测算法中，通过设置门限终止迭代漂移，亚像素级别地进行角点检测。(The mean shift algorithm ideas into a corner detection algorithm, terminate the iteration drift, carried out by the sub-pixel level corner detection limit by setting the door.)

计算一副图像，或者加噪声后图像信噪比和峰值信噪比，代码非常简洁方便，效率很高。(Calculate the image SNR and PSNR)

非常有用的平滑l0算法代码程序，实现信号的稀疏重构(Very useful for smoothing the l0 algorithm code procedures to achieve signal sparse reconstruction)

说明：  图像处理,matlab文件，利用SURF进行图像拼接，完成图像配准(Image processing, matlab files, image stitching using SURF, image registration completed)

isar成像处理，对测试数据进行处理的模板，可以显示二维像(ISAR imaging processing, the test data processing template, you can display the 2D image )

MATLAB 编写的两种将灰度图二值化（多值亦可）的源程序，并付word说明。(it contains two methods which can change gray image to binary image (or multivalue image )in segments.)

说明：  自相关算法,用于图像处理方面，可以用来处理模糊的图像(Autocorrelation algorithm, for image processing, can be used to deal with blurred images.)

这是一种简单的互相关图像匹配算法，已经在matlab环境下测试过，效果很好。附带两张匹配图片(This is a simple cross-correlation image matching algorithm has been tested in the matlab environment, the effect is very good. With two matching pictures)