资源列表
(RBF)-neural-network-forecasting
- 使用径向基（RBF）神经网络实现混沌预测的一个例子。-Use of radial basis (RBF) neural network forecasting an example of chaos.
rgbtohsv
- RGB转为HSV，归一化后的，代码调试可以用的。-RGB to HSV
image-processing-and-analysis
- 遥感图像应用处理与分析，适合初学者学习图像处理的书籍-Application of remote sensing image processing and analysis, image processing suitable for beginners to learn the books
k-l
- K-L变换的程序例子集合，适合初学者学习使用，很好的。-Examples of KL transform collection procedures, suitable for beginners to learn to use, very good.
Hyperspectral-anomaly-detection-1
- 这是一个基于波段子集特征融合的高光谱图像异常检测算法，研究高光谱目标检测的同学可以参考一下。-This is an image-based anomaly detection algorithm for hyperspectral subset of feature fusion band, hyperspectral target detection research students can refer to it.
hyperspectral-4
- 这是一种基于最佳小波包基的高光谱影像特征制图算法，感兴趣的同学可以参考一下。-This is a kind of based on optimal wavelet BaoJi feature mapping algorithm of hyperspectral images, interested students can refer to it.
hyperspectral-5
- 这是一种基于非线性判别分析的高光谱影像特征提取算法，感兴趣的同学可以参考一下。-This is a kind of based on nonlinear discriminant analysis feature extraction algorithm of hyperspectral images, interested students can refer to it.
B
- 2013年全国大学生数学建模B题代码，包含了碎片的中英文拼接的代码，以及给英文碎片做定位线-2013 National Undergraduate Mathematical Modeling B title code fragments containing splicing code in English, and the English debris to do positioning line
Archive
- 制作深褐色的印刷品，因老的印刷品有一点泛黄的色泽，故可以调整颜色以达到效果-Produced sepia prints, old prints because there is a little yellowed color, so you can adjust the colors to achieve the desired effect
MODIS_retrieval
- MODIS等效波段和现行模拟MATLAB代码-MODIS band and the existing analog equivalent MATLAB code! ! !
denoising
- 利用加强领域领域的方法，对隧道裂缝图像进行去噪出来，可以得到比较好的效果。-The use of methods to strengthen the areas in the field of tunnel cracks image de-noising out, you can get better results.
picture-processing
- 产生一图像 f1(m,n)，其中图像大小为256×256，中间亮条为128×32，暗处=0，亮处=100。对其进行FFT: 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图；-Generating an image f1 (m, n), wherein the image size is 256 × 256, the highlight bar to the middle of 128 × 32, 0 = dark, bright point = 100. Its FFT: screen