gxbp731

说明：  基于Landsat8卫星影像数据，在GEE平台中的监督分类(Supervised classification based on landsat8 satellite image data in GEE platform)

说明：  MATLAB源代码实现BP人工神经网络算法。(BP Neural Network based on MATLAB. )

主要适用于图像增强的客观质量评价，效果比较好；其实熵值就是求图像的相似度(Mainly applied to the objective of image quality evaluation, the effect is better; In fact, the entropy is to find the image similarity)

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但(LVQ (Learning Vector quantization) algorithm: it is an extended form of supervised learning of Kohonen, which combines self-organizing and supervised techniques. The learning method is competitive, but the)

解决图像的DCT变换与逆变换，为JEPG压缩做铺垫(To solve the image DCT transform and inverse transform, in order to pave the way for JEPG compression)

说明：  组稀疏表示，可用于信号的稀疏表示，内有多个demo(GroupSparseBox_V2, it can be usef in singal sparse model)

说明：  声呐或者雷达系统发射信号后，通过波束形成算法对两个目标（方位分别为theta1、theta2）回波进行仿真，经过相位补偿，可以看出图像有两个波峰，波峰处指向性函数峰值最大，峰值所对应的的角度值即为目标的方位角。所以该程序对数字波束形成（DBF）的原理进行了仿真，适合初学者掌握阵列信号处理中数字波束形成的原理。(After the sonar or radar system transmits the signal, the echo of the two targets (the azimuth is theta1 and theta2 respectively) is simulated by the beamforming algorithm. After the phase compensation, it can be seen that the image has two peaks, the peak of the directivity function is the largest, and the corresponding angle value of the peak is the azimuth of the target. So the program simulates the principle of DBF, which is suitable for beginners to master the principle of DBF in array signal processing.)

此为canny算子的 matlab源代码(This is a canny operator matlab source code)

本程序实现的是绘制一个单位立方体正平行投影图的程序，可以画出变换后的图形。运行环境为vc++6.0，内附有可执行文件以及所有源代码。(Implementation of this program is drawing a unit cube are parallel to the projection of the program, you can draw the transformed graph. Operating environment for vc++6.0 there is an executable file containing the source code and all.)

说明：  左右圆偏振光的推导公式，与处理结果。传统意义上根据界面曲率的不同，对于确定的透镜，其正极性或负极性是确定了的。但根据等离子体天线方向角的改变，透镜的部分极性也随之改变，换言之，同一透镜中正负极性均存在且可控制。(Derivation formula and processing results of left and right circularly polarized light)