搜索资源列表
Matlab_Classification_based_on_BP
- 基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征,并训练BP网络,再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP networ
AerialImageClassificationMethodBasedonFractalTheor
- 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像 的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分 数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光 谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network
xiangsidu
- 遥感图像的多光谱目标识别,相似度方法实现分类-The multi-spectral remote sensing image object recognition, similarity classification method
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- 基于概率扩散的多光谱遥感图像分类模型 效果绝对由于传统分类方法-Based on the probability of the spread of multi-spectral remote sensing image classification model of the absolute effect of traditional classification method
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- 用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process
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- 光谱角为基础的高光谱图像分类仁 希望对大家有用-Spectral Angle Based Kernels for the Classification of Hyperspectral Images
kl
- 基于bp神经网络的遥感图像的分类和识别的MATLAB实现-Bp neural network-based remote sensing image classification and recognition of the MATLAB implementation
egewed
- 国内外对高光谱遥感成像后进行校正等预处理技术研究已经比较成熟,这些技术跟高光谱图像成像机理密切相关。本文关心的是这些之后进行的信息处理技术。由于高光谱传感器获得的连续波段宽度一般在10nm以内,一般都具有上百个波段,所以基本上不会出现多光谱在成像及传输过程中出现的同物或同谱异物的现象,这给地物分类识别带来了极大的便利-dtgregg
Classification-OfTheRemoteImage
- 基于纹理及光谱信息融合的遥感图像分类方法研究,硕士论文,有关纹理和遥感图像分类很好的学习素材-Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image texture and good learning material
Improved-P_SVM-support-vector-machines
- 改进的P_SVM支持向量机与遥感数据分类,对多光谱高光谱分类-Improved P_SVM support vector machines and remote sensing data classification, Classification of multispectral hyperspectral
Energy
- 在高光谱分类引入空间信息时,采用的的是alfaExpansion,其中用的是基于图表切割能量最小化的方法,这个是能量的matlab文件。-Introduce spatial information in hyperspectral classification using alfaExpansion, which is based on the chart cutting energy minimization method, this is the energy of matlab file.
MultiSpecWin32
- 实用的高光谱分类软件,是以交互方式分析 Landsat 系列地球卫星的高光谱数据, AVIRIS 的地球观测的多光谱图像数据处理系统。-MultiSpec (© Purdue Research Foundation) is a processing system for interactively analyzing Earth observational multispectral image data such as that produced by the Landsat seri
Hyperspectral-Image-Classification
- 这篇文章主要是讲高光谱分类的,使用基于词典的稀疏算法对高光谱进行分类。-Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification
code_CNN_PPF
- 高光谱分类代码,算法发表于2016年TGRS,效果较好-High spectral classification code, the algorithm is published in 2016 TGRS, the results are better
VCA
- 顶点成分分析法,适用于高光谱遥感图像混合像元分解(The vertex component analysis method is suitable for hyperspectral remote sensing image unmixing)
Indian
- 使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
ve247
- ML法能够很好的估计信号的信噪比,Relief计算分类权重,毕设内容,高光谱图像基本处理。( ML estimation method can be a good signal to noise ratio, Relief computing classification weight, Complete set content, basic hyperspectral image processing.)
多光谱影像PCA与遍历显示matlab实现
- 基于多光谱影像的地物分类预处理算法,使用matlab将数据tif影像打开,并展示,在数据波段中,使用PCA算法,使得信息集中利于分类。(Preprocessing algorithm of object classification based on multi spectral image)
支持向量机用于高光谱分类
- 支持向量机用于高光谱分类的代码,包含显示代码。内含数据,标签,分类结果。
ResNet-Tensorflow-master
- 使用tensorflow框架对高光谱图像进行识别、分类(Recognition and classification of hyperspectral images using densenet structure)