搜索资源列表
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
net
- 利用模糊神经网络的方法实现遥感图像的目标识别-The use of fuzzy neural network approach to achieve the goal of remote sensing images to identify
GeoImager_rar
- 遥感图像处理源码，界面类似ERDAS风格，一些图像处理源码可以参考下。-Source remote sensing image processing, ERDAS similar style of interface, a number of image processing source code can refer to the next.
FusionAlgorithmofMultiResolutionRemoteSense
- 基于独立分量分析的多分辨率遥感图像融合算法-Fusion Algorithm of Multi-Resolution Remote Sense Images Based on ICA
RSIP
- 遥感图像处理，包括：图像配准、融合、精校正、增强等-Remote sensing image processing, including: image registration, fusion, precision calibration, enhanced, etc.
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
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
DinLiangRongHE
- 实现影像融合的，在遥感图像处理中有应用，实习时写的-To achieve image fusion, and in remote sensing image processing has the application of an internship at the written
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
remotesensing
- 遥感图像处理，包括直方图绘制、均衡、三通道显示、平滑锐化-Remote sensing image processing, including histogram mapping, balanced, three-channel display, smooth sharpen
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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
o
- 用于遥感图像分类的一种高阶神经网络的改进算法-For remote sensing image classification as a high-order neural networks improved algorithm for
p
- 基于松弛因子改进FASTICA算法的遥感图像分类方法-Relaxation factor based on improved FASTICA remote sensing image classification algorithm
q
- 基于松弛因子的快速独立分量分析算法的遥感图像分类技术-Relaxation factor based on the fast Independent Component Analysis Algorithm for remote sensing image classification techniques