搜索资源列表
rsImgProcessing
- 包括遥感图像的融合算法，底层库为GDAL库，可以给一些遥感人员做参考。-Including remote sensing image fusion algorithm, the underlying database for the GDAL library, can be a reference to a number of remote workers.
matlabwavelettransform
- 利用matlab编程对遥感图像的熵值进行计算，并对其进行小波变换，统计遥感图像在小波域的特性-Matlab Programming for remote sensing images using the entropy values calculated, and its wavelet transform, statistical remote sensing images in the wavelet domain feature
otsu1
- 运用数学形态学原理 分割之后的特征提取 遥感影像分类中的应用-morpholog
SIFT
- SIFT算法用于处理遥感图像的论文，发上来希望对某些人有用。-SIFT algorithm is used to dealing with remote sensing images of papers, hair up want to be useful for some people.
yaogan
- matlab下写的一个代码，能够实现遥感图像目标的提取，效果不错-Next write a matlab code that enables remote sensing image object extraction, good results
Support_Vector_Machines_Ensemble_and_its_Applicati
- Support Vector Machines Ensemble and its Application in Remote Sensing Classification支持向量机在遥感图像中的应用-Support Vector Machines Ensemble and its Application in Remote Sensing Classification
xiangmu
- 实现基于点特征的多源遥感图像 配准技术，并实现了拼接。可以参见我的论文《基于点特征的多源遥感图像 配准技术》-A point-based approach to multi-source remote sensing image registration
123S2121Par
- 对遥感影像信号数据处理，粒子滤波，好用,实践可用-particle
kappa123
- 计算图像kappa系数，在遥感图像处理中实习做的-Calculate the image kappa coefficient, in remote sensing image processing done in practice
jcwtlib-0.01.tar
- 独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独
readfile
- 用IDL实现的将遥感影像保存成ENVI的标准格式，以及保存成.IMG, TIFF等格式文件。-IDL will be used to achieve ENVI remote sensing image saved as a standard format and saved as. IMG, TIFF and other formats.
RSimage_processing
- 遥感影像处理程序。包括图像格式转换、灰度变换、图像增强、边缘检测、直方图统计、形态学运算。针对bmp格式图像。-Remote sensing image processing. Including the image format conversion, grayscale conversion, image enhancement, edge detection, histogram statistics, the morphological operations. For the bmp f
ERDAS
- 纠正，融合，镶嵌是遥感处理中比较常见的 三种处理方法通过一些实例，在ERDAS中的操作，来分别介绍这三种处理方法。 -Correction, integration, glazing is a more common remote sensing processing correction, integration, glazing is a remote sensing processing of the more common of the three treatment methods
HMM_FOR_IMAGE_SEGMENTATION
- 基于改进小波域隐马尔可夫模型的遥感图像分割，应用于卫星图像处理-Based on Improved Wavelet-Domain Hidden Markov models for remote sensing image segmentation
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- 关于rbf神经网络实现图像分类（主要针对遥感图像）的IEEE英文文献-Land-cover Supervised Classification
a
- 与大家分享一篇用神经网络做遥感图像分类的经典IEEE文献-The Application of Run-Length Features in Remote Sensing Classification
e
- 基于K-MEANS与SVM结合的遥感图像全自动分类方法-K-MEANS-based SVM combined with the automatic classification of remote sensing images
h
- 基于多类支持向量机的遥感图像分类及其半监督式改进策略-Based on multi-class support vector machines for remote sensing image classification and Semi-supervised Improvement Strategy
i
- 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
j
- 基于近似域划分的可变离散精度粗逻辑网络及其遥感图像分类应用-Based on approximate discrete domain into the variable precision rough logic networks and their application of remote sensing image classification